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![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_saP0tJ9iSg4mDG5CedzXkPidNCcOfiaFA76eDjWMkVTFVLMgdlrYQC6hhMS6c2L_4FCsVyw_mhXAASSK5Ri80gebWwI-k8w1-8GWLRcaFHyoXwyBoEbYnih_NpytGgwNMZg6neowEgKdeG0T3IC0EI3H74BoCv3g5nyiLlG3NfqsYt=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
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
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
Intel Sells Its Arm Shares, Reduces Stakes in Other Companies
Intel has divested its entire stake in Arm Holdings during the second quarter, raising approximately $147 million. Alongside this, Intel sold its stake in cybersecurity firm ZeroFox and reduced its holdings in Astera Labs, all as part of a broader effort to manage costs and recover cash amid significant financial challenges.
The sale of Intel's 1.18 million shares in Arm Holdings, as reported in a recent SEC filing, comes at a time when the company is struggling with substantial financial losses. Despite the $147 million generated from the sale, Intel reported a $120 million net loss on its equity investments for the quarter, which is a part of a larger $1.6 billion loss that Intel faced during this period.
In addition to selling its stake in Arm, Intel also exited its investment in ZeroFox and reduced its involvement with Astera Labs, a company known for developing connectivity platforms for enterprise hardware. These moves are in line with Intel's strategy to reduce costs and stabilize its financial position as it faces ongoing market challenges.
Despite the divestment, Intel's past investment in Arm was likely driven by strategic considerations. Arm Holdings is a significant force in the semiconductor industry, with its designs powering most mobile devices, and, for obvious reasons, Intel would like to address these. Intel and Arm are also collaborating on datacenter platforms tailored for Intel's 18A process technology. Additionally, Arm might view Intel as a potential licensee for its technologies and a valuable partner for other companies that license Arm's designs.
Intel's investment in Astera Labs was also a strategic one as the company probably wanted to secure steady supply of smart retimers, smart cable modems, and CXL memory controller, which are used in volumes in datacenters and Intel is certainly interested in selling as many datacenter CPUs as possible.
Intel's financial struggles were highlighted earlier this month when the company released a disappointing earnings report, which led to a 33% drop in its stock value, erasing billions of dollars of capitalization. To counter these difficulties, Intel announced plans to cut 15,000 jobs and implement other expense reductions. The company has also suspended its dividend, signaling the depth of its efforts to conserve cash and focus on recovery. When it comes to divestment of Arm stock, the need for immediate financial stabilization has presumably taken precedence, leading to the decision.
CPUs
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
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
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
Intel Sells Its Arm Shares, Reduces Stakes in Other Companies
Intel has divested its entire stake in Arm Holdings during the second quarter, raising approximately $147 million. Alongside this, Intel sold its stake in cybersecurity firm ZeroFox and reduced its holdings in Astera Labs, all as part of a broader effort to manage costs and recover cash amid significant financial challenges.
The sale of Intel's 1.18 million shares in Arm Holdings, as reported in a recent SEC filing, comes at a time when the company is struggling with substantial financial losses. Despite the $147 million generated from the sale, Intel reported a $120 million net loss on its equity investments for the quarter, which is a part of a larger $1.6 billion loss that Intel faced during this period.
In addition to selling its stake in Arm, Intel also exited its investment in ZeroFox and reduced its involvement with Astera Labs, a company known for developing connectivity platforms for enterprise hardware. These moves are in line with Intel's strategy to reduce costs and stabilize its financial position as it faces ongoing market challenges.
Despite the divestment, Intel's past investment in Arm was likely driven by strategic considerations. Arm Holdings is a significant force in the semiconductor industry, with its designs powering most mobile devices, and, for obvious reasons, Intel would like to address these. Intel and Arm are also collaborating on datacenter platforms tailored for Intel's 18A process technology. Additionally, Arm might view Intel as a potential licensee for its technologies and a valuable partner for other companies that license Arm's designs.
Intel's investment in Astera Labs was also a strategic one as the company probably wanted to secure steady supply of smart retimers, smart cable modems, and CXL memory controller, which are used in volumes in datacenters and Intel is certainly interested in selling as many datacenter CPUs as possible.
Intel's financial struggles were highlighted earlier this month when the company released a disappointing earnings report, which led to a 33% drop in its stock value, erasing billions of dollars of capitalization. To counter these difficulties, Intel announced plans to cut 15,000 jobs and implement other expense reductions. The company has also suspended its dividend, signaling the depth of its efforts to conserve cash and focus on recovery. When it comes to divestment of Arm stock, the need for immediate financial stabilization has presumably taken precedence, leading to the decision.
CPUs
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
MediaTek to Add NVIDIA G-Sync Support to Monitor Scalers, Make G-Sync Displays More Accessible
NVIDIA on Tuesday said that future monitor scalers from MediaTek will support its G-Sync technologies. NVIDIA is partnering with MediaTek to integrate its full range of G-Sync technologies into future monitors without requiring a standalone G-Sync module, which makes advanced gaming features more accessible across a broader range of displays.
Traditionally, G-Sync technology relied on a dedicated G-sync module – based on an Altera FPGA – to handle syncing display refresh rates with the GPU in order to reduce screen tearing, stutter, and input lag. As a more basic solution, in 2019 NVIDIA introduced G-Sync Compatible certification and branding, which leveraged the industry-standard VESA AdaptiveSync technology to handle variable refresh rates. In lieu of using a dedicated module, leveraging AdaptiveSync allowed for cheaper monitors, with NVIDIA's program serving as a stamp of approval that the monitor worked with NVIDIA GPUs and met NVIDIA's performance requirements. Still, G-Sync Compatible monitors still lack some features that, to date, require the dedicated G-Sync module.
Through this new partnership with MediaTek, MediaTek will bring support for all of NVIDIA's G-Sync technologies, including the latest G-Sync Pulsar, directly into their scalers. G-Sync Pulsar enhances motion clarity and reduces ghosting, providing a smoother gaming experience. In addition to variable refresh rates and Pulsar, MediaTek-based G-Sync displays will support such features as variable overdrive, 12-bit color, Ultra Low Motion Blur, low latency HDR, and Reflex Analyzer. This integration will allow more monitors to support a full range of G-Sync features without having to incorporate an expensive FPGA.
The first monitors to feature full G-Sync support without needing an NVIDIA module include the AOC Agon Pro AG276QSG2, Acer Predator XB273U F5, and ASUS ROG Swift 360Hz PG27AQNR. These monitors offer 360Hz refresh rates, 1440p resolution, and HDR support.
What remains to be seen is which specific MediaTek's scalers will support NVIDIA's G-Sync technology – or if the company is going to implement support into all of their scalers going forward. It also remains to be seen whether monitors with NVIDIA's dedicated G-Sync modules retain any advantages over displays with MediaTek's scalers.
Monitors
MediaTek to Add NVIDIA G-Sync Support to Monitor Scalers, Make G-Sync Displays More Accessible
NVIDIA on Tuesday said that future monitor scalers from MediaTek will support its G-Sync technologies. NVIDIA is partnering with MediaTek to integrate its full range of G-Sync technologies into future monitors without requiring a standalone G-Sync module, which makes advanced gaming features more accessible across a broader range of displays.
Traditionally, G-Sync technology relied on a dedicated G-sync module – based on an Altera FPGA – to handle syncing display refresh rates with the GPU in order to reduce screen tearing, stutter, and input lag. As a more basic solution, in 2019 NVIDIA introduced G-Sync Compatible certification and branding, which leveraged the industry-standard VESA AdaptiveSync technology to handle variable refresh rates. In lieu of using a dedicated module, leveraging AdaptiveSync allowed for cheaper monitors, with NVIDIA's program serving as a stamp of approval that the monitor worked with NVIDIA GPUs and met NVIDIA's performance requirements. Still, G-Sync Compatible monitors still lack some features that, to date, require the dedicated G-Sync module.
Through this new partnership with MediaTek, MediaTek will bring support for all of NVIDIA's G-Sync technologies, including the latest G-Sync Pulsar, directly into their scalers. G-Sync Pulsar enhances motion clarity and reduces ghosting, providing a smoother gaming experience. In addition to variable refresh rates and Pulsar, MediaTek-based G-Sync displays will support such features as variable overdrive, 12-bit color, Ultra Low Motion Blur, low latency HDR, and Reflex Analyzer. This integration will allow more monitors to support a full range of G-Sync features without having to incorporate an expensive FPGA.
The first monitors to feature full G-Sync support without needing an NVIDIA module include the AOC Agon Pro AG276QSG2, Acer Predator XB273U F5, and ASUS ROG Swift 360Hz PG27AQNR. These monitors offer 360Hz refresh rates, 1440p resolution, and HDR support.
What remains to be seen is which specific MediaTek's scalers will support NVIDIA's G-Sync technology – or if the company is going to implement support into all of their scalers going forward. It also remains to be seen whether monitors with NVIDIA's dedicated G-Sync modules retain any advantages over displays with MediaTek's scalers.
Monitors
Kioxia Demonstrates RAID Offload Scheme for NVMe Drives
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
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
Intel Sells Its Arm Shares, Reduces Stakes in Other Companies
Intel has divested its entire stake in Arm Holdings during the second quarter, raising approximately $147 million. Alongside this, Intel sold its stake in cybersecurity firm ZeroFox and reduced its holdings in Astera Labs, all as part of a broader effort to manage costs and recover cash amid significant financial challenges.
The sale of Intel's 1.18 million shares in Arm Holdings, as reported in a recent SEC filing, comes at a time when the company is struggling with substantial financial losses. Despite the $147 million generated from the sale, Intel reported a $120 million net loss on its equity investments for the quarter, which is a part of a larger $1.6 billion loss that Intel faced during this period.
In addition to selling its stake in Arm, Intel also exited its investment in ZeroFox and reduced its involvement with Astera Labs, a company known for developing connectivity platforms for enterprise hardware. These moves are in line with Intel's strategy to reduce costs and stabilize its financial position as it faces ongoing market challenges.
Despite the divestment, Intel's past investment in Arm was likely driven by strategic considerations. Arm Holdings is a significant force in the semiconductor industry, with its designs powering most mobile devices, and, for obvious reasons, Intel would like to address these. Intel and Arm are also collaborating on datacenter platforms tailored for Intel's 18A process technology. Additionally, Arm might view Intel as a potential licensee for its technologies and a valuable partner for other companies that license Arm's designs.
Intel's investment in Astera Labs was also a strategic one as the company probably wanted to secure steady supply of smart retimers, smart cable modems, and CXL memory controller, which are used in volumes in datacenters and Intel is certainly interested in selling as many datacenter CPUs as possible.
Intel's financial struggles were highlighted earlier this month when the company released a disappointing earnings report, which led to a 33% drop in its stock value, erasing billions of dollars of capitalization. To counter these difficulties, Intel announced plans to cut 15,000 jobs and implement other expense reductions. The company has also suspended its dividend, signaling the depth of its efforts to conserve cash and focus on recovery. When it comes to divestment of Arm stock, the need for immediate financial stabilization has presumably taken precedence, leading to the decision.
CPUs
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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
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
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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