TSMC Posts Q1'24 Results: 3nm Revenue Share Drops Steeply, but HPC Share Rises
Taiwan Semiconductor Manufacturing Co. this week released its financial results for Q1 2024. Due to a rebound in demand for semiconductors, the company garned $18.87 billion in revenue for the quarter, which is up 12.9% year-over-year, but a decline of 3.8% quarter-over-quarter. The company says that in increase in demand for HPC processors (which includes processors for AI, PCs, and servers) drove its revenue rebound in Q1, but surprisingly, revenue share of TSMC's flagship N3 (3nm-class) process technology declined steeply quarter-over-quarter.
"Our business in the first quarter was impacted by smartphone seasonality, partially offset by continued HPC-related demand," said Wendell Huang, senior VP and chief financial officer of TSMC. "Moving into second quarter 2024, we expect our business to be supported by strong demand for our industry-leading 3nm and 5nm technologies, partially offset by continued smartphone seasonality."
In the first quarter of 2024, N3 wafer sales accounted for 9% of the foundry's revenue, down from 15% in Q4 2023, and up from 6% in Q3 2023. In terms of dollars, TSMC's 3nm production brought in around $1.698 billion, which is lower than $2.943 billion in the previous quarter. Meanwhile, TSMC's other advanced process technologies increased their revenue share: N5 (5 nm-class) accounted for 37% (up from 35%), and N7 (7 nm-class) commanded 19% (up from 17%). Though both remained relatively flat in terms of revenue, at $6.981 billion and $3.585 billion, respectively.
Generally, advanced technology nodes (N7, N5, N3) generated 65% of TSMC's revenue (down 2% from Q4 2023), while the broader category of FinFET-based process technologies contributed 74% to the company's total wafer revenue (down 1% from the previous quarter).
TSMC itself attributes the steep decline of N3's contribution to seasonally lower demand for smartphones in the first quarter as compared to the fourth quarter, which may indeed be the case as demand for iPhones typically slowdowns in Q1. Along those lines, there have also been reports about a drop in demand for the latest iPhones in China.
But even if A17 Pro production volumes are down, Apple remains TSMC's lead customer for N3B, as the fab also produces their M3, M3 Pro, and M3 Max processors on the same node. These SoCs are larger in terms of die sizes and resulting costs, so their contribution to TSMC's revenue should be quite substantial.
"Moving on to revenue contribution by platform. HPC increased 3% quarter-over-quarter to account for 46% of our first quarter revenue," said Huang. "Smartphone decreased 16% to account for 38%. IoT increased 5% to account for 6%. Automotive remained flat and accounted for 6%, and DCE increased 33% to account for 2%."
Meanwhile, as demand for AI and HPC processors will continue to increase in the coming years, TSMC expects its HPC platform to keep increasing its share in its revenue going forward.
"We expect several AI processors to be the strongest driver of our HPC platform growth and the largest contributor in terms of our overall incremental revenue growth in the next several years," said C.C. Wei, chief executive of TSMC.
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Kioxia Demonstrates Optical Interface SSDs for Data Centers A few years back, the Japanese government's New Energy and Industrial Technology Development Organization (NEDO ) allocated funding for the development of green datacenter technologies. With the aim to obtain up to 40% savings in overall power consumption, several Japanese companies have been developing an optical interface for their enterprise SSDs. And at this year's FMS, Kioxia had their optical interface on display. For this demonstration, Kioxia took its existing CM7 enterprise SSD and created an optical interface for it. A PCIe card with on-board optics developed by Kyocera is installed in the server slot. An optical interface allows data transfer over long distances (it was 40m in the demo, but Kioxia promises lengths of up to 100m for the cable in the future). This allows the storage to be kept in a separate room with minimal cooling requirements compared to the rack with the CPUs and GPUs. Disaggregation of different server components will become an option as very high throughput interfaces such as PCIe 7.0 (with 128 GT/s rates) become available. The demonstration of the optical SSD showed a slight loss in IOPS performance, but a significant advantage in the latency metric over the shipping enterprise SSD behind a copper network link. Obviously, there are advantages in wiring requirements and signal integrity maintenance with optical links. Being a proof-of-concept demonstration, we do see the requirement for an industry-standard approach if this were to gain adoption among different datacenter vendors. The PCI-SIG optical workgroup will need to get its act together soon to create a standards-based approach to this problem. Storage
Silicon Motion Demonstrates Flexible Data Placement on MonTitan Gen 5 Enterprise SSD Platform At FMS 2024, the technological requirements from the storage and memory subsystem took center stage. Both SSD and controller vendors had various demonstrations touting their suitability for different stages of the AI data pipeline - ingestion, preparation, training, checkpointing, and inference. Vendors like Solidigm have different types of SSDs optimized for different stages of the pipeline. At the same time, controller vendors have taken advantage of one of the features introduced recently in the NVM Express standard - Flexible Data Placement (FDP). FDP involves the host providing information / hints about the areas where the controller could place the incoming write data in order to reduce the write amplification. These hints are generated based on specific block sizes advertised by the device. The feature is completely backwards-compatible, with non-FDP hosts working just as before with FDP-enabled SSDs, and vice-versa. Silicon Motion's MonTitan Gen 5 Enterprise SSD Platform was announced back in 2022. Since then, Silicon Motion has been touting the flexibility of the platform, allowing its customers to incorporate their own features as part of the customization process. This approach is common in the enterprise space, as we have seen with Marvell's Bravera SC5 SSD controller in the DapuStor SSDs and Microchip's Flashtec controllers in the Longsys FORESEE enterprise SSDs. At FMS 2024, the company was demonstrating the advantages of flexible data placement by allowing a single QLC SSD based on their MonTitan platform to take part in different stages of the AI data pipeline while maintaining the required quality of service (minimum bandwidth) for each process. The company even has a trademarked name (PerformaShape) for the firmware feature in the controller that allows the isolation of different concurrent SSD accesses (from different stages in the AI data pipeline) to guarantee this QoS. Silicon Motion claims that this scheme will enable its customers to get the maximum write performance possible from QLC SSDs without negatively impacting the performance of other types of accesses. Silicon Motion and Phison have market leadership in the client SSD controller market with similar approaches. However, their enterprise SSD controller marketing couldn't be more different. While Phison has gone in for a turnkey solution with their Gen 5 SSD platform (to the extent of not adopting the white label route for this generation, and instead opting to get the SSDs qualified with different cloud service providers themselves), Silicon Motion is opting for a different approach. The flexibility and customization possibilities can make platforms like the MonTitan appeal to flash array vendors. Storage
Samsung's 128 TB-Class BM1743 Enterprise SSD Displayed at FMS 2024 Samsung had quietly launched its BM1743 enterprise QLC SSD last month with a hefty 61.44 TB SKU. At FMS 2024, the company had the even larger 122.88 TB version of that SSD on display, alongside a few recorded benchmarking sessions. Compared to the previous generation, the BM1743 comes with a 4.1x improvement in I/O performance, improvement in data retention, and a 45% improvement in power efficiency for sequential writes. The 128 TB-class QLC SSD boasts of sequential read speeds of 7.5 GBps and write speeds of 3 GBps. Random reads come in at 1.6 M IOPS, while 16 KB random writes clock in at 45K IOPS. Based on the quoted random write access granularity, it appears that Samsung is using a 16 KB indirection unit (IU) to optimize flash management. This is similar to the strategy adopted by Solidigm with IUs larger than 4K in their high-capacity SSDs. A recorded benchmark session on the company's PM9D3a 8-channel Gen 5 SSD was also on display. The SSD family is being promoted as a mainstream option for datacenters, and boasts of sequential reads up to 12 GBps and writes up to 6.8 GBps. Random reads clock in at 2 M IOPS, and random writes at 400 K IOPS. Available in multiple form-factors up to 32 TB (M.2 tops out at 2 TB), the drive's firmware includes optional support for flexible data placement (FDP) to help address the write amplification aspect. The PM1753 is the current enterprise SSD flagship in Samsung's lineup. With support for 16 NAND channels and capacities up to 32 TB, this U.2 / E3.S SSD has advertised sequential read and write speeds of 14.8 GBps and 11 GBps respectively. Random reads and writes for 4 KB accesses are listed at 3.4 M and 600 K IOPS. Samsung claims a 1.7x performance improvement and a 1.7x power efficiency improvement over the previous generation (PM1743), making this TLC SSD suitable for AI servers. The 9th Gen. V-NAND wafer was also available for viewing, though photography was prohibited. Mass production of this flash memory began in April 2024. Storage
![Rapidus Wants to Offer Fully Automated Packaging for 2nm Fab to Cut Chip Lead Times <p align="center"><a href="https://www.anandtech.com/show/21525/rapidus-2nm-fully-automated-chip-packaging-to-cut-lead-times"><img src="https://images.anandtech.com/doci/21525/intel-foundry-wafer-semiconductor-fab-ifs-678_575px.jpg" alt="" /></a></p><p><p>One of the core challenges that Rapidus will face when it kicks off volume production of chips on its 2nm-class process technology in 2027 is lining up customers. With Intel, Samsung, and TSMC all slated to offer their own 2nm-class nodes by that time, Rapidus will need some kind of advantage to attract customers away from its more established rivals. To that end, the company thinks they've found their edge: fully automated packaging that will allow for shorter chip lead times than manned packaging operations.</p>
<p>In an interview with <a href="https://asia.nikkei.com/Editor-s-Picks/Interview/Japan-s-Rapidus-to-fully-automate-2-nm-chip-fab-president-says">Nikkei</a>, Rapidus' president, Atsuyoshi Koike, outlined the company's vision to use advanced packaging as a competitive edge for the new fab. <a href="https://www.anandtech.com/show/21411/rapidus-adds-chip-packaging-services-to-plans-for-32b-2nm-fab">The Hokkaido facility</a>, which is currently under construction and is expecting to begin equipment installation this December, is already slated to both produce chips and offer advanced packaging services within the same facility, an industry first. But ultimately, Rapidus biggest plan to differentiate itself is by automating the back-end fab processes (chip packaging) to provide significantly faster turnaround times.</p>
<p>Rapidus is targetting back-end production in particular as, compared to front-end (lithography) production, back-end production still heavily relies on human labor. No other advanced packaging fab has fully automated the process thus far, which provides for a degree of flexibility, but slows throughput. But with automation in place to handle this aspect of chip production, Rapidus would be able to increase chip packaging efficiency and speed, which is crucial as chip assembly tasks become more complex. Rapidus is also collaborating with multiple Japanese suppliers to source materials for back-end production. </p>
<p>"In the past, Japanese chipmakers tried to keep their technology development exclusively in-house, which pushed up development costs and made them less competitive," Koike told Nikkei. "[Rapidus plans to] open up technology that should be standardized, bringing down costs, while handling important technology in-house." </p>
<p>Financially, Rapidus faces a significant challenge, needing a total of ¥5 trillion ($35 billion) by the time mass production starts in 2027. The company estimates that ¥2 trillion will be required by 2025 for prototype production. While the Japanese government has provided ¥920 billion in aid, Rapidus still needs to secure substantial funding from private investors.</p>
<p>Due to its lack of track record and experience of chip production as. well as limited visibility for success, Rapidus is finding it difficult to attract private financing. The company is in discussions with the government to make it easier to raise capital, including potential loan guarantees, and is hopeful that new legislation will assist in this effort.</p>
</p> Semiconductors](https://lh3.googleusercontent.com/blogger_img_proxy/AEn0k_uL4tAUI8Iw2S3JaQGcDQiu7QAC2VKlJYsNpo_olBSbjmFP31Jd9Mw8uIyK7WIvpNPvzzj0Cm9692_5CrgW_bmn6YWPYYONiKZmuNuHapzOA5bbNe64tXP73PW5XFmNJMEK6aTVcZXLp9xLWu9vIDcL6E10B2aHa8iRmGuE4jPV4WOj=w72-h72-p-k-no-nu)
Rapidus Wants to Offer Fully Automated Packaging for 2nm Fab to Cut Chip Lead Times
One of the core challenges that Rapidus will face when it kicks off volume production of chips on its 2nm-class process technology in 2027 is lining up customers. With Intel, Samsung, and TSMC all slated to offer their own 2nm-class nodes by that time, Rapidus will need some kind of advantage to attract customers away from its more established rivals. To that end, the company thinks they've found their edge: fully automated packaging that will allow for shorter chip lead times than manned packaging operations.
In an interview with Nikkei, Rapidus' president, Atsuyoshi Koike, outlined the company's vision to use advanced packaging as a competitive edge for the new fab. The Hokkaido facility, which is currently under construction and is expecting to begin equipment installation this December, is already slated to both produce chips and offer advanced packaging services within the same facility, an industry first. But ultimately, Rapidus biggest plan to differentiate itself is by automating the back-end fab processes (chip packaging) to provide significantly faster turnaround times.
Rapidus is targetting back-end production in particular as, compared to front-end (lithography) production, back-end production still heavily relies on human labor. No other advanced packaging fab has fully automated the process thus far, which provides for a degree of flexibility, but slows throughput. But with automation in place to handle this aspect of chip production, Rapidus would be able to increase chip packaging efficiency and speed, which is crucial as chip assembly tasks become more complex. Rapidus is also collaborating with multiple Japanese suppliers to source materials for back-end production.
"In the past, Japanese chipmakers tried to keep their technology development exclusively in-house, which pushed up development costs and made them less competitive," Koike told Nikkei. "[Rapidus plans to] open up technology that should be standardized, bringing down costs, while handling important technology in-house."
Financially, Rapidus faces a significant challenge, needing a total of ¥5 trillion ($35 billion) by the time mass production starts in 2027. The company estimates that ¥2 trillion will be required by 2025 for prototype production. While the Japanese government has provided ¥920 billion in aid, Rapidus still needs to secure substantial funding from private investors.
Due to its lack of track record and experience of chip production as. well as limited visibility for success, Rapidus is finding it difficult to attract private financing. The company is in discussions with the government to make it easier to raise capital, including potential loan guarantees, and is hopeful that new legislation will assist in this effort.
Semiconductors
Western Digital Introduces 4 TB microSDUC, 8 TB SDUC, and 16 TB External SSDs
Western Digital's BiCS8 218-layer 3D NAND is being put to good use in a wide range of client and enterprise platforms, including WD's upcoming Gen 5 client SSDs and 128 TB-class datacenter SSD. On the external storage front, the company demonstrated four different products: for card-based media, 4 TB microSDUC and 8 TB SDUC cards with UHS-I speeds, and on the portable SSD front we had two 16 TB drives. One will be a SanDisk Desk Drive with external power, and the other in the SanDisk Extreme Pro housing with a lanyard opening in the case.
All of these are using BiCS8 QLC NAND, though I did hear booth talk (as I was taking leave) that they were not supposed to divulge the use of QLC in these products. The 4 TB microSDUC and 8 TB SDUC cards are rated for UHS-I speeds. They are being marketed under the SanDisk Ultra branding.
The SanDisk Desk Drive is an external SSD with a 18W power adapter, and it has been in the market for a few months now. Initially launched in capacities up to 8 TB, Western Digital had promised a 16 TB version before the end of the year. It appears that the product is coming to retail quite soon. One aspect to note is that this drive has been using TLC for the SKUs that are currently in the market, so it appears unlikely that the 16 TB version would be QLC. The units (at least up to the 8 TB capacity point) come with two SN850XE drives. Given the recent introduction of the 8 TB SN850X, an 'E' version with tweaked firmware is likely to be present in the 16 TB Desk Drive.
The 16 TB portable SSD in the SanDisk Extreme housing was a technology demonstration. It is definitely the highest capacity bus-powered portable SSD demonstrated by any vendor at any trade show thus far. Given the 16 TB Desk Drive's imminent market introduction, it is just a matter of time before the technology demonstration of the bus-powered version becomes a retail reality.
Storage
Silicon Motion Demonstrates Flexible Data Placement on MonTitan Gen 5 Enterprise SSD Platform
At FMS 2024, the technological requirements from the storage and memory subsystem took center stage. Both SSD and controller vendors had various demonstrations touting their suitability for different stages of the AI data pipeline - ingestion, preparation, training, checkpointing, and inference. Vendors like Solidigm have different types of SSDs optimized for different stages of the pipeline. At the same time, controller vendors have taken advantage of one of the features introduced recently in the NVM Express standard - Flexible Data Placement (FDP).
FDP involves the host providing information / hints about the areas where the controller could place the incoming write data in order to reduce the write amplification. These hints are generated based on specific block sizes advertised by the device. The feature is completely backwards-compatible, with non-FDP hosts working just as before with FDP-enabled SSDs, and vice-versa.
Silicon Motion's MonTitan Gen 5 Enterprise SSD Platform was announced back in 2022. Since then, Silicon Motion has been touting the flexibility of the platform, allowing its customers to incorporate their own features as part of the customization process. This approach is common in the enterprise space, as we have seen with Marvell's Bravera SC5 SSD controller in the DapuStor SSDs and Microchip's Flashtec controllers in the Longsys FORESEE enterprise SSDs.
At FMS 2024, the company was demonstrating the advantages of flexible data placement by allowing a single QLC SSD based on their MonTitan platform to take part in different stages of the AI data pipeline while maintaining the required quality of service (minimum bandwidth) for each process. The company even has a trademarked name (PerformaShape) for the firmware feature in the controller that allows the isolation of different concurrent SSD accesses (from different stages in the AI data pipeline) to guarantee this QoS. Silicon Motion claims that this scheme will enable its customers to get the maximum write performance possible from QLC SSDs without negatively impacting the performance of other types of accesses.
Silicon Motion and Phison have market leadership in the client SSD controller market with similar approaches. However, their enterprise SSD controller marketing couldn't be more different. While Phison has gone in for a turnkey solution with their Gen 5 SSD platform (to the extent of not adopting the white label route for this generation, and instead opting to get the SSDs qualified with different cloud service providers themselves), Silicon Motion is opting for a different approach. The flexibility and customization possibilities can make platforms like the MonTitan appeal to flash array vendors.
Storage
Rapidus Wants to Offer Fully Automated Packaging for 2nm Fab to Cut Chip Lead Times
One of the core challenges that Rapidus will face when it kicks off volume production of chips on its 2nm-class process technology in 2027 is lining up customers. With Intel, Samsung, and TSMC all slated to offer their own 2nm-class nodes by that time, Rapidus will need some kind of advantage to attract customers away from its more established rivals. To that end, the company thinks they've found their edge: fully automated packaging that will allow for shorter chip lead times than manned packaging operations.
In an interview with Nikkei, Rapidus' president, Atsuyoshi Koike, outlined the company's vision to use advanced packaging as a competitive edge for the new fab. The Hokkaido facility, which is currently under construction and is expecting to begin equipment installation this December, is already slated to both produce chips and offer advanced packaging services within the same facility, an industry first. But ultimately, Rapidus biggest plan to differentiate itself is by automating the back-end fab processes (chip packaging) to provide significantly faster turnaround times.
Rapidus is targetting back-end production in particular as, compared to front-end (lithography) production, back-end production still heavily relies on human labor. No other advanced packaging fab has fully automated the process thus far, which provides for a degree of flexibility, but slows throughput. But with automation in place to handle this aspect of chip production, Rapidus would be able to increase chip packaging efficiency and speed, which is crucial as chip assembly tasks become more complex. Rapidus is also collaborating with multiple Japanese suppliers to source materials for back-end production.
"In the past, Japanese chipmakers tried to keep their technology development exclusively in-house, which pushed up development costs and made them less competitive," Koike told Nikkei. "[Rapidus plans to] open up technology that should be standardized, bringing down costs, while handling important technology in-house."
Financially, Rapidus faces a significant challenge, needing a total of ¥5 trillion ($35 billion) by the time mass production starts in 2027. The company estimates that ¥2 trillion will be required by 2025 for prototype production. While the Japanese government has provided ¥920 billion in aid, Rapidus still needs to secure substantial funding from private investors.
Due to its lack of track record and experience of chip production as. well as limited visibility for success, Rapidus is finding it difficult to attract private financing. The company is in discussions with the government to make it easier to raise capital, including potential loan guarantees, and is hopeful that new legislation will assist in this effort.
Semiconductors
Rapidus Wants to Offer Fully Automated Packaging for 2nm Fab to Cut Chip Lead Times
One of the core challenges that Rapidus will face when it kicks off volume production of chips on its 2nm-class process technology in 2027 is lining up customers. With Intel, Samsung, and TSMC all slated to offer their own 2nm-class nodes by that time, Rapidus will need some kind of advantage to attract customers away from its more established rivals. To that end, the company thinks they've found their edge: fully automated packaging that will allow for shorter chip lead times than manned packaging operations.
In an interview with Nikkei, Rapidus' president, Atsuyoshi Koike, outlined the company's vision to use advanced packaging as a competitive edge for the new fab. The Hokkaido facility, which is currently under construction and is expecting to begin equipment installation this December, is already slated to both produce chips and offer advanced packaging services within the same facility, an industry first. But ultimately, Rapidus biggest plan to differentiate itself is by automating the back-end fab processes (chip packaging) to provide significantly faster turnaround times.
Rapidus is targetting back-end production in particular as, compared to front-end (lithography) production, back-end production still heavily relies on human labor. No other advanced packaging fab has fully automated the process thus far, which provides for a degree of flexibility, but slows throughput. But with automation in place to handle this aspect of chip production, Rapidus would be able to increase chip packaging efficiency and speed, which is crucial as chip assembly tasks become more complex. Rapidus is also collaborating with multiple Japanese suppliers to source materials for back-end production.
"In the past, Japanese chipmakers tried to keep their technology development exclusively in-house, which pushed up development costs and made them less competitive," Koike told Nikkei. "[Rapidus plans to] open up technology that should be standardized, bringing down costs, while handling important technology in-house."
Financially, Rapidus faces a significant challenge, needing a total of ¥5 trillion ($35 billion) by the time mass production starts in 2027. The company estimates that ¥2 trillion will be required by 2025 for prototype production. While the Japanese government has provided ¥920 billion in aid, Rapidus still needs to secure substantial funding from private investors.
Due to its lack of track record and experience of chip production as. well as limited visibility for success, Rapidus is finding it difficult to attract private financing. The company is in discussions with the government to make it easier to raise capital, including potential loan guarantees, and is hopeful that new legislation will assist in this effort.
Semiconductors
Western Digital Introduces 4 TB microSDUC, 8 TB SDUC, and 16 TB External SSDs
Western Digital's BiCS8 218-layer 3D NAND is being put to good use in a wide range of client and enterprise platforms, including WD's upcoming Gen 5 client SSDs and 128 TB-class datacenter SSD. On the external storage front, the company demonstrated four different products: for card-based media, 4 TB microSDUC and 8 TB SDUC cards with UHS-I speeds, and on the portable SSD front we had two 16 TB drives. One will be a SanDisk Desk Drive with external power, and the other in the SanDisk Extreme Pro housing with a lanyard opening in the case.
All of these are using BiCS8 QLC NAND, though I did hear booth talk (as I was taking leave) that they were not supposed to divulge the use of QLC in these products. The 4 TB microSDUC and 8 TB SDUC cards are rated for UHS-I speeds. They are being marketed under the SanDisk Ultra branding.
The SanDisk Desk Drive is an external SSD with a 18W power adapter, and it has been in the market for a few months now. Initially launched in capacities up to 8 TB, Western Digital had promised a 16 TB version before the end of the year. It appears that the product is coming to retail quite soon. One aspect to note is that this drive has been using TLC for the SKUs that are currently in the market, so it appears unlikely that the 16 TB version would be QLC. The units (at least up to the 8 TB capacity point) come with two SN850XE drives. Given the recent introduction of the 8 TB SN850X, an 'E' version with tweaked firmware is likely to be present in the 16 TB Desk Drive.
The 16 TB portable SSD in the SanDisk Extreme housing was a technology demonstration. It is definitely the highest capacity bus-powered portable SSD demonstrated by any vendor at any trade show thus far. Given the 16 TB Desk Drive's imminent market introduction, it is just a matter of time before the technology demonstration of the bus-powered version becomes a retail reality.
Storage
Silicon Motion Demonstrates Flexible Data Placement on MonTitan Gen 5 Enterprise SSD Platform
At FMS 2024, the technological requirements from the storage and memory subsystem took center stage. Both SSD and controller vendors had various demonstrations touting their suitability for different stages of the AI data pipeline - ingestion, preparation, training, checkpointing, and inference. Vendors like Solidigm have different types of SSDs optimized for different stages of the pipeline. At the same time, controller vendors have taken advantage of one of the features introduced recently in the NVM Express standard - Flexible Data Placement (FDP).
FDP involves the host providing information / hints about the areas where the controller could place the incoming write data in order to reduce the write amplification. These hints are generated based on specific block sizes advertised by the device. The feature is completely backwards-compatible, with non-FDP hosts working just as before with FDP-enabled SSDs, and vice-versa.
Silicon Motion's MonTitan Gen 5 Enterprise SSD Platform was announced back in 2022. Since then, Silicon Motion has been touting the flexibility of the platform, allowing its customers to incorporate their own features as part of the customization process. This approach is common in the enterprise space, as we have seen with Marvell's Bravera SC5 SSD controller in the DapuStor SSDs and Microchip's Flashtec controllers in the Longsys FORESEE enterprise SSDs.
At FMS 2024, the company was demonstrating the advantages of flexible data placement by allowing a single QLC SSD based on their MonTitan platform to take part in different stages of the AI data pipeline while maintaining the required quality of service (minimum bandwidth) for each process. The company even has a trademarked name (PerformaShape) for the firmware feature in the controller that allows the isolation of different concurrent SSD accesses (from different stages in the AI data pipeline) to guarantee this QoS. Silicon Motion claims that this scheme will enable its customers to get the maximum write performance possible from QLC SSDs without negatively impacting the performance of other types of accesses.
Silicon Motion and Phison have market leadership in the client SSD controller market with similar approaches. However, their enterprise SSD controller marketing couldn't be more different. While Phison has gone in for a turnkey solution with their Gen 5 SSD platform (to the extent of not adopting the white label route for this generation, and instead opting to get the SSDs qualified with different cloud service providers themselves), Silicon Motion is opting for a different approach. The flexibility and customization possibilities can make platforms like the MonTitan appeal to flash array vendors.
Storage
Rapidus Wants to Offer Fully Automated Packaging for 2nm Fab to Cut Chip Lead Times
One of the core challenges that Rapidus will face when it kicks off volume production of chips on its 2nm-class process technology in 2027 is lining up customers. With Intel, Samsung, and TSMC all slated to offer their own 2nm-class nodes by that time, Rapidus will need some kind of advantage to attract customers away from its more established rivals. To that end, the company thinks they've found their edge: fully automated packaging that will allow for shorter chip lead times than manned packaging operations.
In an interview with Nikkei, Rapidus' president, Atsuyoshi Koike, outlined the company's vision to use advanced packaging as a competitive edge for the new fab. The Hokkaido facility, which is currently under construction and is expecting to begin equipment installation this December, is already slated to both produce chips and offer advanced packaging services within the same facility, an industry first. But ultimately, Rapidus biggest plan to differentiate itself is by automating the back-end fab processes (chip packaging) to provide significantly faster turnaround times.
Rapidus is targetting back-end production in particular as, compared to front-end (lithography) production, back-end production still heavily relies on human labor. No other advanced packaging fab has fully automated the process thus far, which provides for a degree of flexibility, but slows throughput. But with automation in place to handle this aspect of chip production, Rapidus would be able to increase chip packaging efficiency and speed, which is crucial as chip assembly tasks become more complex. Rapidus is also collaborating with multiple Japanese suppliers to source materials for back-end production.
"In the past, Japanese chipmakers tried to keep their technology development exclusively in-house, which pushed up development costs and made them less competitive," Koike told Nikkei. "[Rapidus plans to] open up technology that should be standardized, bringing down costs, while handling important technology in-house."
Financially, Rapidus faces a significant challenge, needing a total of ¥5 trillion ($35 billion) by the time mass production starts in 2027. The company estimates that ¥2 trillion will be required by 2025 for prototype production. While the Japanese government has provided ¥920 billion in aid, Rapidus still needs to secure substantial funding from private investors.
Due to its lack of track record and experience of chip production as. well as limited visibility for success, Rapidus is finding it difficult to attract private financing. The company is in discussions with the government to make it easier to raise capital, including potential loan guarantees, and is hopeful that new legislation will assist in this effort.
Semiconductors
Kioxia Demonstrates Optical Interface SSDs for Data Centers
A few years back, the Japanese government's New Energy and Industrial Technology Development Organization (NEDO ) allocated funding for the development of green datacenter technologies. With the aim to obtain up to 40% savings in overall power consumption, several Japanese companies have been developing an optical interface for their enterprise SSDs. And at this year's FMS, Kioxia had their optical interface on display.
For this demonstration, Kioxia took its existing CM7 enterprise SSD and created an optical interface for it. A PCIe card with on-board optics developed by Kyocera is installed in the server slot. An optical interface allows data transfer over long distances (it was 40m in the demo, but Kioxia promises lengths of up to 100m for the cable in the future). This allows the storage to be kept in a separate room with minimal cooling requirements compared to the rack with the CPUs and GPUs. Disaggregation of different server components will become an option as very high throughput interfaces such as PCIe 7.0 (with 128 GT/s rates) become available.
The demonstration of the optical SSD showed a slight loss in IOPS performance, but a significant advantage in the latency metric over the shipping enterprise SSD behind a copper network link. Obviously, there are advantages in wiring requirements and signal integrity maintenance with optical links.
Being a proof-of-concept demonstration, we do see the requirement for an industry-standard approach if this were to gain adoption among different datacenter vendors. The PCI-SIG optical workgroup will need to get its act together soon to create a standards-based approach to this problem.
Storage
G.Skill Intros Low Latency DDR5 Memory Modules: CL30 at 6400 MT/s
G.Skill on Tuesday introduced its ultra-low-latency DDR5-6400 memory modules that feature a CAS latency of 30 clocks, which appears to be the industry's most aggressive timings yet for DDR5-6400 sticks. The modules will be available for both AMD and Intel CPU-based systems.
With every new generation of DDR memory comes an increase in data transfer rates and an extension of relative latencies. While for the vast majority of applications, the increased bandwidth offsets the performance impact of higher timings, there are applications that favor low latencies. However, shrinking latencies is sometimes harder than increasing data transfer rates, which is why low-latency modules are rare.
Nonetheless, G.Skill has apparently managed to cherry-pick enough DDR5 memory chips and build appropriate printed circuit boards to produce DDR5-6400 modules with CL30 timings, which are substantially lower than the CL46 timings recommended by JEDEC for this speed bin. This means that while JEDEC-standard modules have an absolute latency of 14.375 ns, G.Skill's modules can boast a latency of just 9.375 ns – an approximately 35% decrease.
G.Skill's DDR5-6400 CL30 39-39-102 modules have a capacity of 16 GB and will be available in 32 GB dual-channel kits, though the company does not disclose voltages, which are likely considerably higher than those standardized by JEDEC.
The company plans to make its DDR5-6400 modules available both for AMD systems with EXPO profiles (Trident Z5 Neo RGB and Trident Z5 Royal Neo) and for Intel-powered PCs with XMP 3.0 profiles (Trident Z5 RGB and Trident Z5 Royal). For AMD AM5 systems that have a practical limitation of 6000 MT/s – 6400 MT/s for DDR5 memory (as this is roughly as fast as AMD's Infinity Fabric can operate at with a 1:1 ratio), the new modules will be particularly beneficial for AMD's Ryzen 7000 and Ryzen 9000-series processors.
G.Skill notes that since its modules are non-standard, they will not work with all systems but will operate on high-end motherboards with properly cooled CPUs.
The new ultra-low-latency memory kits will be available worldwide from G.Skill's partners starting in late August 2024. The company did not disclose the pricing of these modules, but since we are talking about premium products that boast unique specifications, they are likely to be priced accordingly.
Memory
Kioxia Demonstrates RAID Offload Scheme for NVMe Drives
![](https://twitter.com/share?url=https://compbuddey.blogspot.com/2024/05/tsmc-posts-q124-results-3nm-revenue.html&text=TSMC Posts Q1'24 Results: 3nm Revenue Share Drops Steeply, but HPC Share Rises <p align="center"><a href="https://www.anandtech.com/show/21359/tsmc-posts-q124-results-3nm-revenue-share-drops-steeply-but-hpc-share-rises"><img src="https://images.anandtech.com/doci/21359/tsmc-wafer-chip-semiconductor-fab-waferc002_2524_SQPc_0-678_575px.jpg" alt="" /></a></p><p><p>Taiwan Semiconductor Manufacturing Co. this week released its financial results for Q1 2024. Due to a rebound in demand for semiconductors, the company garned $18.87 billion in revenue for the quarter, which is up 12.9% year-over-year, but a <a href="https://www.anandtech.com/show/21239/tsmc-q4-2023-earnings-3nm-revenue-share-jumps-5nm-overtakes-7nm">decline of 3.8% quarter-over-quarter</a>. The company says that in increase in demand for HPC processors (which includes processors for AI, PCs, and servers) drove its revenue rebound in Q1, but surprisingly, revenue share of TSMC's flagship N3 (3nm-class) process technology declined steeply quarter-over-quarter.</p>
<p>"Our business in the first quarter was impacted by smartphone seasonality, partially offset by continued HPC-related demand," said Wendell Huang, senior VP and chief financial officer of TSMC. "Moving into second quarter 2024, we expect our business to be supported by strong demand for our industry-leading 3nm and 5nm technologies, partially offset by continued smartphone seasonality."</p>
<p>In the first quarter of 2024, N3 wafer sales accounted for 9% of the foundry's revenue, down from 15% in Q4 2023, and up from 6% in Q3 2023. In terms of dollars, TSMC's 3nm production brought in around $1.698 billion, which is lower than $2.943 billion in the previous quarter. Meanwhile, TSMC's other advanced process technologies increased their revenue share: N5 (5 nm-class) accounted for 37% (up from 35%), and N7 (7 nm-class) commanded 19% (up from 17%). Though both remained relatively flat in terms of revenue, at $6.981 billion and $3.585 billion, respectively.</p>
<p>Generally, advanced technology nodes (N7, N5, N3) generated 65% of TSMC's revenue (down 2% from Q4 2023), while the broader category of FinFET-based process technologies contributed 74% to the company's total wafer revenue (down 1% from the previous quarter).</p>
<p style="text-align: center;"><a href="https://www.anandtech.com/show/21359/tsmc-posts-q124-results-3nm-revenue-share-drops-steeply-but-hpc-share-rises"><img alt="" src="https://images.anandtech.com/doci/21359/tsmc-q1-2024-nodes-revenue_575px.png" /></a></p>
<p>TSMC itself attributes the steep decline of N3's contribution to seasonally lower demand for smartphones in the first quarter as compared to the fourth quarter, which may indeed be the case as demand for iPhones typically slowdowns in Q1. Along those lines, there have also been reports about a drop in demand for the latest iPhones in China.</p>
<p>But even if A17 Pro production volumes are down, Apple remains TSMC's lead customer for N3B, as the fab also produces their M3, M3 Pro, and M3 Max processors on the same node. These SoCs are larger in terms of die sizes and resulting costs, so their contribution to TSMC's revenue should be quite substantial.</p>
<p style="text-align: center;"><a href="https://www.anandtech.com/show/21359/tsmc-posts-q124-results-3nm-revenue-share-drops-steeply-but-hpc-share-rises"><img alt="" src="https://images.anandtech.com/doci/21359/tsmc-q1-2024-platform-revenue_575px.png" /></a></p>
<p>"Moving on to revenue contribution by platform. HPC increased 3% quarter-over-quarter to account for 46% of our first quarter revenue," said Huang. "Smartphone decreased 16% to account for 38%. IoT increased 5% to account for 6%. Automotive remained flat and accounted for 6%, and DCE increased 33% to account for 2%."</p>
<p>Meanwhile, as demand for AI and HPC processors will continue to increase in the coming years, TSMC expects its HPC platform to keep increasing its share in its revenue going forward.<br />
<br />
"We expect several AI processors to be the strongest driver of our HPC platform growth and the largest contributor in terms of our overall incremental revenue growth in the next several years," said C.C. Wei, chief executive of TSMC.</p>
</p> Semiconductors){kind=link}
![](https://www.pinterest.com/pin/create/button/?url=https://compbuddey.blogspot.com/2024/05/tsmc-posts-q124-results-3nm-revenue.html&media=https://lh3.googleusercontent.com/blogger_img_proxy/AEn0k_tyhEmA0q_nyFxm-IZs-1SadYfvDITKEzx5H_7XpjlkBZSaCwbqng28GA69NJRu-6Um0MuxtmAOBIswBUzYSrMa6_XkCRWjRxWm-UHl49d_WjwO79KncFHvBTaJajBoHW-JpBXIH5JmVtLGnGmehNE3rAyzL-VMBB6jh1QobdAhWMCf9Vv_rxhjNVM1Vovll8w&description=TSMC Posts Q1'24 Results: 3nm Revenue Share Drops Steeply, but HPC Share Rises <p align="center"><a href="https://www.anandtech.com/show/21359/tsmc-posts-q124-results-3nm-revenue-share-drops-steeply-but-hpc-share-rises"><img src="https://images.anandtech.com/doci/21359/tsmc-wafer-chip-semiconductor-fab-waferc002_2524_SQPc_0-678_575px.jpg" alt="" /></a></p><p><p>Taiwan Semiconductor Manufacturing Co. this week released its financial results for Q1 2024. Due to a rebound in demand for semiconductors, the company garned $18.87 billion in revenue for the quarter, which is up 12.9% year-over-year, but a <a href="https://www.anandtech.com/show/21239/tsmc-q4-2023-earnings-3nm-revenue-share-jumps-5nm-overtakes-7nm">decline of 3.8% quarter-over-quarter</a>. The company says that in increase in demand for HPC processors (which includes processors for AI, PCs, and servers) drove its revenue rebound in Q1, but surprisingly, revenue share of TSMC's flagship N3 (3nm-class) process technology declined steeply quarter-over-quarter.</p>
<p>"Our business in the first quarter was impacted by smartphone seasonality, partially offset by continued HPC-related demand," said Wendell Huang, senior VP and chief financial officer of TSMC. "Moving into second quarter 2024, we expect our business to be supported by strong demand for our industry-leading 3nm and 5nm technologies, partially offset by continued smartphone seasonality."</p>
<p>In the first quarter of 2024, N3 wafer sales accounted for 9% of the foundry's revenue, down from 15% in Q4 2023, and up from 6% in Q3 2023. In terms of dollars, TSMC's 3nm production brought in around $1.698 billion, which is lower than $2.943 billion in the previous quarter. Meanwhile, TSMC's other advanced process technologies increased their revenue share: N5 (5 nm-class) accounted for 37% (up from 35%), and N7 (7 nm-class) commanded 19% (up from 17%). Though both remained relatively flat in terms of revenue, at $6.981 billion and $3.585 billion, respectively.</p>
<p>Generally, advanced technology nodes (N7, N5, N3) generated 65% of TSMC's revenue (down 2% from Q4 2023), while the broader category of FinFET-based process technologies contributed 74% to the company's total wafer revenue (down 1% from the previous quarter).</p>
<p style="text-align: center;"><a href="https://www.anandtech.com/show/21359/tsmc-posts-q124-results-3nm-revenue-share-drops-steeply-but-hpc-share-rises"><img alt="" src="https://images.anandtech.com/doci/21359/tsmc-q1-2024-nodes-revenue_575px.png" /></a></p>
<p>TSMC itself attributes the steep decline of N3's contribution to seasonally lower demand for smartphones in the first quarter as compared to the fourth quarter, which may indeed be the case as demand for iPhones typically slowdowns in Q1. Along those lines, there have also been reports about a drop in demand for the latest iPhones in China.</p>
<p>But even if A17 Pro production volumes are down, Apple remains TSMC's lead customer for N3B, as the fab also produces their M3, M3 Pro, and M3 Max processors on the same node. These SoCs are larger in terms of die sizes and resulting costs, so their contribution to TSMC's revenue should be quite substantial.</p>
<p style="text-align: center;"><a href="https://www.anandtech.com/show/21359/tsmc-posts-q124-results-3nm-revenue-share-drops-steeply-but-hpc-share-rises"><img alt="" src="https://images.anandtech.com/doci/21359/tsmc-q1-2024-platform-revenue_575px.png" /></a></p>
<p>"Moving on to revenue contribution by platform. HPC increased 3% quarter-over-quarter to account for 46% of our first quarter revenue," said Huang. "Smartphone decreased 16% to account for 38%. IoT increased 5% to account for 6%. Automotive remained flat and accounted for 6%, and DCE increased 33% to account for 2%."</p>
<p>Meanwhile, as demand for AI and HPC processors will continue to increase in the coming years, TSMC expects its HPC platform to keep increasing its share in its revenue going forward.<br />
<br />
"We expect several AI processors to be the strongest driver of our HPC platform growth and the largest contributor in terms of our overall incremental revenue growth in the next several years," said C.C. Wei, chief executive of TSMC.</p>
</p> Semiconductors){kind=link}
![](https://web.whatsapp.com/send?text=TSMC Posts Q1'24 Results: 3nm Revenue Share Drops Steeply, but HPC Share Rises <p align="center"><a href="https://www.anandtech.com/show/21359/tsmc-posts-q124-results-3nm-revenue-share-drops-steeply-but-hpc-share-rises"><img src="https://images.anandtech.com/doci/21359/tsmc-wafer-chip-semiconductor-fab-waferc002_2524_SQPc_0-678_575px.jpg" alt="" /></a></p><p><p>Taiwan Semiconductor Manufacturing Co. this week released its financial results for Q1 2024. Due to a rebound in demand for semiconductors, the company garned $18.87 billion in revenue for the quarter, which is up 12.9% year-over-year, but a <a href="https://www.anandtech.com/show/21239/tsmc-q4-2023-earnings-3nm-revenue-share-jumps-5nm-overtakes-7nm">decline of 3.8% quarter-over-quarter</a>. The company says that in increase in demand for HPC processors (which includes processors for AI, PCs, and servers) drove its revenue rebound in Q1, but surprisingly, revenue share of TSMC's flagship N3 (3nm-class) process technology declined steeply quarter-over-quarter.</p>
<p>"Our business in the first quarter was impacted by smartphone seasonality, partially offset by continued HPC-related demand," said Wendell Huang, senior VP and chief financial officer of TSMC. "Moving into second quarter 2024, we expect our business to be supported by strong demand for our industry-leading 3nm and 5nm technologies, partially offset by continued smartphone seasonality."</p>
<p>In the first quarter of 2024, N3 wafer sales accounted for 9% of the foundry's revenue, down from 15% in Q4 2023, and up from 6% in Q3 2023. In terms of dollars, TSMC's 3nm production brought in around $1.698 billion, which is lower than $2.943 billion in the previous quarter. Meanwhile, TSMC's other advanced process technologies increased their revenue share: N5 (5 nm-class) accounted for 37% (up from 35%), and N7 (7 nm-class) commanded 19% (up from 17%). Though both remained relatively flat in terms of revenue, at $6.981 billion and $3.585 billion, respectively.</p>
<p>Generally, advanced technology nodes (N7, N5, N3) generated 65% of TSMC's revenue (down 2% from Q4 2023), while the broader category of FinFET-based process technologies contributed 74% to the company's total wafer revenue (down 1% from the previous quarter).</p>
<p style="text-align: center;"><a href="https://www.anandtech.com/show/21359/tsmc-posts-q124-results-3nm-revenue-share-drops-steeply-but-hpc-share-rises"><img alt="" src="https://images.anandtech.com/doci/21359/tsmc-q1-2024-nodes-revenue_575px.png" /></a></p>
<p>TSMC itself attributes the steep decline of N3's contribution to seasonally lower demand for smartphones in the first quarter as compared to the fourth quarter, which may indeed be the case as demand for iPhones typically slowdowns in Q1. Along those lines, there have also been reports about a drop in demand for the latest iPhones in China.</p>
<p>But even if A17 Pro production volumes are down, Apple remains TSMC's lead customer for N3B, as the fab also produces their M3, M3 Pro, and M3 Max processors on the same node. These SoCs are larger in terms of die sizes and resulting costs, so their contribution to TSMC's revenue should be quite substantial.</p>
<p style="text-align: center;"><a href="https://www.anandtech.com/show/21359/tsmc-posts-q124-results-3nm-revenue-share-drops-steeply-but-hpc-share-rises"><img alt="" src="https://images.anandtech.com/doci/21359/tsmc-q1-2024-platform-revenue_575px.png" /></a></p>
<p>"Moving on to revenue contribution by platform. HPC increased 3% quarter-over-quarter to account for 46% of our first quarter revenue," said Huang. "Smartphone decreased 16% to account for 38%. IoT increased 5% to account for 6%. Automotive remained flat and accounted for 6%, and DCE increased 33% to account for 2%."</p>
<p>Meanwhile, as demand for AI and HPC processors will continue to increase in the coming years, TSMC expects its HPC platform to keep increasing its share in its revenue going forward.<br />
<br />
"We expect several AI processors to be the strongest driver of our HPC platform growth and the largest contributor in terms of our overall incremental revenue growth in the next several years," said C.C. Wei, chief executive of TSMC.</p>
</p> Semiconductors | https://compbuddey.blogspot.com/2024/05/tsmc-posts-q124-results-3nm-revenue.html){kind=link}
![](mailto:?subject=TSMC Posts Q1'24 Results: 3nm Revenue Share Drops Steeply, but HPC Share Rises <p align="center"><a href="https://www.anandtech.com/show/21359/tsmc-posts-q124-results-3nm-revenue-share-drops-steeply-but-hpc-share-rises"><img src="https://images.anandtech.com/doci/21359/tsmc-wafer-chip-semiconductor-fab-waferc002_2524_SQPc_0-678_575px.jpg" alt="" /></a></p><p><p>Taiwan Semiconductor Manufacturing Co. this week released its financial results for Q1 2024. Due to a rebound in demand for semiconductors, the company garned $18.87 billion in revenue for the quarter, which is up 12.9% year-over-year, but a <a href="https://www.anandtech.com/show/21239/tsmc-q4-2023-earnings-3nm-revenue-share-jumps-5nm-overtakes-7nm">decline of 3.8% quarter-over-quarter</a>. The company says that in increase in demand for HPC processors (which includes processors for AI, PCs, and servers) drove its revenue rebound in Q1, but surprisingly, revenue share of TSMC's flagship N3 (3nm-class) process technology declined steeply quarter-over-quarter.</p>
<p>"Our business in the first quarter was impacted by smartphone seasonality, partially offset by continued HPC-related demand," said Wendell Huang, senior VP and chief financial officer of TSMC. "Moving into second quarter 2024, we expect our business to be supported by strong demand for our industry-leading 3nm and 5nm technologies, partially offset by continued smartphone seasonality."</p>
<p>In the first quarter of 2024, N3 wafer sales accounted for 9% of the foundry's revenue, down from 15% in Q4 2023, and up from 6% in Q3 2023. In terms of dollars, TSMC's 3nm production brought in around $1.698 billion, which is lower than $2.943 billion in the previous quarter. Meanwhile, TSMC's other advanced process technologies increased their revenue share: N5 (5 nm-class) accounted for 37% (up from 35%), and N7 (7 nm-class) commanded 19% (up from 17%). Though both remained relatively flat in terms of revenue, at $6.981 billion and $3.585 billion, respectively.</p>
<p>Generally, advanced technology nodes (N7, N5, N3) generated 65% of TSMC's revenue (down 2% from Q4 2023), while the broader category of FinFET-based process technologies contributed 74% to the company's total wafer revenue (down 1% from the previous quarter).</p>
<p style="text-align: center;"><a href="https://www.anandtech.com/show/21359/tsmc-posts-q124-results-3nm-revenue-share-drops-steeply-but-hpc-share-rises"><img alt="" src="https://images.anandtech.com/doci/21359/tsmc-q1-2024-nodes-revenue_575px.png" /></a></p>
<p>TSMC itself attributes the steep decline of N3's contribution to seasonally lower demand for smartphones in the first quarter as compared to the fourth quarter, which may indeed be the case as demand for iPhones typically slowdowns in Q1. Along those lines, there have also been reports about a drop in demand for the latest iPhones in China.</p>
<p>But even if A17 Pro production volumes are down, Apple remains TSMC's lead customer for N3B, as the fab also produces their M3, M3 Pro, and M3 Max processors on the same node. These SoCs are larger in terms of die sizes and resulting costs, so their contribution to TSMC's revenue should be quite substantial.</p>
<p style="text-align: center;"><a href="https://www.anandtech.com/show/21359/tsmc-posts-q124-results-3nm-revenue-share-drops-steeply-but-hpc-share-rises"><img alt="" src="https://images.anandtech.com/doci/21359/tsmc-q1-2024-platform-revenue_575px.png" /></a></p>
<p>"Moving on to revenue contribution by platform. HPC increased 3% quarter-over-quarter to account for 46% of our first quarter revenue," said Huang. "Smartphone decreased 16% to account for 38%. IoT increased 5% to account for 6%. Automotive remained flat and accounted for 6%, and DCE increased 33% to account for 2%."</p>
<p>Meanwhile, as demand for AI and HPC processors will continue to increase in the coming years, TSMC expects its HPC platform to keep increasing its share in its revenue going forward.<br />
<br />
"We expect several AI processors to be the strongest driver of our HPC platform growth and the largest contributor in terms of our overall incremental revenue growth in the next several years," said C.C. Wei, chief executive of TSMC.</p>
</p> Semiconductors&body=https://compbuddey.blogspot.com/2024/05/tsmc-posts-q124-results-3nm-revenue.html){kind=link}
At FMS 2024, Kioxia had a proof-of-concept demonstration of their proposed a new RAID offload methodology for enterprise SSDs. The impetus for this is quite clear: as SSDs get faster in each generation, RAID arrays have a major problem of maintaining (and scaling up) performance. Even in cases where the RAID operations are handled by a dedicated RAID card, a simple write request in, say, a RAID 5 array would involve two reads and two writes to different drives. In cases where there is no hardware acceleration, the data from the reads needs to travel all the way back to the CPU and main memory for further processing before the writes can be done.
Kioxia has proposed the use of the PCIe direct memory access feature along with the SSD controller's controller memory buffer (CMB) to avoid the movement of data up to the CPU and back. The required parity computation is done by an accelerator block resident within the SSD controller.
In Kioxia's PoC implementation, the DMA engine can access the entire host address space (including the peer SSD's BAR-mapped CMB), allowing it to receive and transfer data as required from neighboring SSDs on the bus. Kioxia noted that their offload PoC saw close to 50% reduction in CPU utilization and upwards of 90% reduction in system DRAM utilization compared to software RAID done on the CPU. The proposed offload scheme can also handle scrubbing operations without taking up the host CPU cycles for the parity computation task.
Kioxia has already taken steps to contribute these features to the NVM Express working group. If accepted, the proposed offload scheme will be part of a standard that could become widely available across multiple SSD vendors.
Storage
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's.
Rapidus Wants to Offer Fully Automated Packaging for 2nm Fab to Cut Chip Lead Times
One of the core challenges that Rapidus will face when it kicks off volume production of chips on its 2nm-class process technology in 2027 is lining up customers. With Intel, Samsung, and TSMC all slated to offer their own 2nm-class nodes by that time, Rapidus will need some kind of advantage to attract customers away from its more established rivals. To that end, the company thinks they've found their edge: fully automated packaging that will allow for shorter chip lead times than manned packaging operations.
In an interview with Nikkei, Rapidus' president, Atsuyoshi Koike, outlined the company's vision to use advanced packaging as a competitive edge for the new fab. The Hokkaido facility, which is currently under construction and is expecting to begin equipment installation this December, is already slated to both produce chips and offer advanced packaging services within the same facility, an industry first. But ultimately, Rapidus biggest plan to differentiate itself is by automating the back-end fab processes (chip packaging) to provide significantly faster turnaround times.
Rapidus is targetting back-end production in particular as, compared to front-end (lithography) production, back-end production still heavily relies on human labor. No other advanced packaging fab has fully automated the process thus far, which provides for a degree of flexibility, but slows throughput. But with automation in place to handle this aspect of chip production, Rapidus would be able to increase chip packaging efficiency and speed, which is crucial as chip assembly tasks become more complex. Rapidus is also collaborating with multiple Japanese suppliers to source materials for back-end production.
"In the past, Japanese chipmakers tried to keep their technology development exclusively in-house, which pushed up development costs and made them less competitive," Koike told Nikkei. "[Rapidus plans to] open up technology that should be standardized, bringing down costs, while handling important technology in-house."
Financially, Rapidus faces a significant challenge, needing a total of ¥5 trillion ($35 billion) by the time mass production starts in 2027. The company estimates that ¥2 trillion will be required by 2025 for prototype production. While the Japanese government has provided ¥920 billion in aid, Rapidus still needs to secure substantial funding from private investors.
Due to its lack of track record and experience of chip production as. well as limited visibility for success, Rapidus is finding it difficult to attract private financing. The company is in discussions with the government to make it easier to raise capital, including potential loan guarantees, and is hopeful that new legislation will assist in this effort.
Semiconductors
Western Digital Introduces 4 TB microSDUC, 8 TB SDUC, and 16 TB External SSDs
Western Digital's BiCS8 218-layer 3D NAND is being put to good use in a wide range of client and enterprise platforms, including WD's upcoming Gen 5 client SSDs and 128 TB-class datacenter SSD. On the external storage front, the company demonstrated four different products: for card-based media, 4 TB microSDUC and 8 TB SDUC cards with UHS-I speeds, and on the portable SSD front we had two 16 TB drives. One will be a SanDisk Desk Drive with external power, and the other in the SanDisk Extreme Pro housing with a lanyard opening in the case.
All of these are using BiCS8 QLC NAND, though I did hear booth talk (as I was taking leave) that they were not supposed to divulge the use of QLC in these products. The 4 TB microSDUC and 8 TB SDUC cards are rated for UHS-I speeds. They are being marketed under the SanDisk Ultra branding.
The SanDisk Desk Drive is an external SSD with a 18W power adapter, and it has been in the market for a few months now. Initially launched in capacities up to 8 TB, Western Digital had promised a 16 TB version before the end of the year. It appears that the product is coming to retail quite soon. One aspect to note is that this drive has been using TLC for the SKUs that are currently in the market, so it appears unlikely that the 16 TB version would be QLC. The units (at least up to the 8 TB capacity point) come with two SN850XE drives. Given the recent introduction of the 8 TB SN850X, an 'E' version with tweaked firmware is likely to be present in the 16 TB Desk Drive.
The 16 TB portable SSD in the SanDisk Extreme housing was a technology demonstration. It is definitely the highest capacity bus-powered portable SSD demonstrated by any vendor at any trade show thus far. Given the 16 TB Desk Drive's imminent market introduction, it is just a matter of time before the technology demonstration of the bus-powered version becomes a retail reality.
Storage
Silicon Motion Demonstrates Flexible Data Placement on MonTitan Gen 5 Enterprise SSD Platform
At FMS 2024, the technological requirements from the storage and memory subsystem took center stage. Both SSD and controller vendors had various demonstrations touting their suitability for different stages of the AI data pipeline - ingestion, preparation, training, checkpointing, and inference. Vendors like Solidigm have different types of SSDs optimized for different stages of the pipeline. At the same time, controller vendors have taken advantage of one of the features introduced recently in the NVM Express standard - Flexible Data Placement (FDP).
FDP involves the host providing information / hints about the areas where the controller could place the incoming write data in order to reduce the write amplification. These hints are generated based on specific block sizes advertised by the device. The feature is completely backwards-compatible, with non-FDP hosts working just as before with FDP-enabled SSDs, and vice-versa.
Silicon Motion's MonTitan Gen 5 Enterprise SSD Platform was announced back in 2022. Since then, Silicon Motion has been touting the flexibility of the platform, allowing its customers to incorporate their own features as part of the customization process. This approach is common in the enterprise space, as we have seen with Marvell's Bravera SC5 SSD controller in the DapuStor SSDs and Microchip's Flashtec controllers in the Longsys FORESEE enterprise SSDs.
At FMS 2024, the company was demonstrating the advantages of flexible data placement by allowing a single QLC SSD based on their MonTitan platform to take part in different stages of the AI data pipeline while maintaining the required quality of service (minimum bandwidth) for each process. The company even has a trademarked name (PerformaShape) for the firmware feature in the controller that allows the isolation of different concurrent SSD accesses (from different stages in the AI data pipeline) to guarantee this QoS. Silicon Motion claims that this scheme will enable its customers to get the maximum write performance possible from QLC SSDs without negatively impacting the performance of other types of accesses.
Silicon Motion and Phison have market leadership in the client SSD controller market with similar approaches. However, their enterprise SSD controller marketing couldn't be more different. While Phison has gone in for a turnkey solution with their Gen 5 SSD platform (to the extent of not adopting the white label route for this generation, and instead opting to get the SSDs qualified with different cloud service providers themselves), Silicon Motion is opting for a different approach. The flexibility and customization possibilities can make platforms like the MonTitan appeal to flash array vendors.
Storage
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