Iceberg Thermal Inc. is one of the newer players in the PC cooling market. The company was founded in 2019 by an experienced team of designers and engineers setting off on their own, aiming to deliver a wide range of PC cooling products to industrial and commercial users alike. They only have a handful of retails products currently available, with the vast majority of them being CPU air coolers, but they have just launched their first liquid cooler products, the IceFLOE Oasis series.
In today’s review, we are having a look at the IceFLOE Oasis 360mm AIO (All-In-One) CPU cooler, the larger of the company's two recently-released liquid coolers. The IceFLOE Oasis CPU cooler targets the high-performance PC cooling market with a sub-$100 price point, aiming to deliver the performance needed to effectively cool a power-hungry processor without being a drain on the wallet in the process. This cooler features a 360mm radiator for an ample heat dissipation area, as well as housing for three high-airflow 120 mm fans. The IceFLOE Oasis supports a wide range of Intel and AMD socket types, making it compatible with a broad spectrum of CPUs. Additionally, it offers advanced RGB lighting, allowing users to customize the aesthetic of their cooling system.
Cases/Cooling/PSUsIntel To Discontinue Boxed 13th Gen Core CPUs for Enthusiasts In an unexpected move, Intel has announced plans to phase out the boxed versions of its enthusiasts-class 13th Generation Core 'Raptor Lake' processors. According to a product change notification (PCN) published by the company last month, Intel plans to stop shipping these desktop CPUs by late June. In its place will remain Intel's existing lineup of boxed 14th Generation Core processors, which are based on the same 'Raptor Lake' silicon and typically carry higher performance for similar prices. Intel customers and distributors interested in getting boxed versions 13th Generation Core i5-13600K/KF, Core i7-13700K/KF, and Core i9-13900K/KF/KS 'Raptor Lake' processors with unlocked multiplier should place their orders by May 24, 2024. The company will ship these units by June 28, 2024. Meanwhile, the PCN does not mention any change to the availability of tray versions of these CPUs, which are sold to OEMs and wholesalers. The impending discontinuation of Intel's boxed 13th Generation Core processors comes as the company's current 14th Generation product line, 'Raptor Lake Refresh' is largely a rehash of the same silicon at slightly higher clockspeeds. Case in point: all of the discontinued SKUs are based on Intel's B0 Raptor Lake silicon, which is still being used for their 14th Gen counterparts. So Intel has not discontinued producing any Raptor Lake silicon; only the number of retail SKUs is getting cut-down. As outlined in our 14th Generation Core/Raptor Lake Refresh review, the 14th Gen chips largely make their 13th Gen counterparts redundant, offering better performance at every tier for the same list price. And with virtually all current generation motherboards supporting both generation of chips, apparently Intel feels there's little reason to keep around what's essentially older, slower SKUs of the same silicon. Interestingly, the retirement of the enthusiast-class 13th Generation Core chips is coming before Intel discontinues their even older 12th Generation Core 'Alder Lake' processors. 12th Gen chips are still available to this day in both boxed and tray versions, and the Alder Lake silicon itself is still widely in use in multiple product families. So even though Alder Lake shares the same platform as Raptor Lake, the chips based on that silicon haven't been rendered redundant in the same way that 13th Gen Core chips have. Ultimately, it would seem that Intel is intent on consolidating and simplifying its boxed retail chip offerings by retiring their near-duplicate SKUs. Which for PC buyers could present a minor opportunity for a deal, as retailers work to sell off their remaining 13th Gen enthusiast chips. CPUs
Intel and Sandia National Labs Roll Out 1.15B Neuron “Hala Point” Neuromorphic Research System While neuromorphic computing remains under research for the time being, efforts into the field have continued to grow over the years, as have the capabilities of the specialty chips that have been developed for this research. Following those lines, this morning Intel and Sandia National Laboratories are celebrating the deployment of the Hala Point neuromorphic system, which the two believe is the highest capacity system in the world. With 1.15 billion neurons overall, Hala Point is the largest deployment yet for Intel’s Loihi 2 neuromorphic chip, which was first announced at the tail-end of 2021. The Hala Point system incorporates 1152 Loihi 2 processors, each of which is capable of simulating a million neurons. As noted back at the time of Loihi 2’s launch, these chips are actually rather small – just 31 mm2 per chip with 2.3 billion transistors each, as they’re built on the Intel 4 process (one of the only other Intel chips to do so, besides Meteor Lake). As a result, the complete system is similarly petite, taking up just 6 rack units of space (or as Sandia likes to compare it to, about the size of a microwave), with a power consumption of 2.6 kW. Now that it’s online, Hala Point has dethroned the SpiNNaker system as the largest disclosed neuromorphic system, offering admittedly just a slightly larger number of neurons at less than 3% of the power consumption of the 100 kW British system. A Single Loihi 2 Chip (31 mm2) Hala Point will be replacing an older Intel neuromorphic system at Sandia, Pohoiki Springs, which is based on Intel’s first-generation Loihi chips. By comparison, Hala Point offers ten-times as many neurons, and upwards of 12x the performance overall, Both neuromorphic systems have been procured by Sandia in order to advance the national lab’s research into neuromorphic computing, a computing paradigm that behaves like a brain. The central thought (if you’ll excuse the pun) is that by mimicking the wetware writing this article, neuromorphic chips can be used to solve problems that conventional processors cannot solve today, and that they can do so more efficiently as well. Sandia, for its part, has said that it will be using the system to look at large-scale neuromorphic computing, with work operating on a scale well beyond Pohoiki Springs. With Hala Point offering a simulated neuron count very roughly on the level of complexity of an owl brain, the lab believes that a larger-scale system will finally enable them to properly exploit the properties of neuromorphic computing to solve real problems in fields such as device physics, computer architecture, computer science and informatics, moving well beyond the simple demonstrations initially achieved at a smaller scale. One new focus from the lab, which in turn has caught Intel’s attention, is the applicability of neuromorphic computing towards AI inference. Because the neural networks themselves behind the current wave of AI systems are attempting to emulate the human brain, in a sense, there is an obvious degree of synergy with the brain-mimicking neuromorphic chips, even if the algorithms differ in some key respects. Still, with energy efficiency being one of the major benefits of neuromorphic computing, it’s pushed Intel to look into the matter further – and even build a second, Hala Point-sized system of their own. According to Intel, in their research on Hala Point, the system has reached efficiencies as high as 15 TOPS-per-Watt at 8-bit precision, albeit while using 10:1 sparsity, making it more than competitive with current-generation commercial chips. As an added bonus to that efficiency, the neuromorphic systems don’t require extensive data processing and batching in advance, which is normally necessary to make efficient use of the high density ALU arrays in GPUs and GPU-like processors. Perhaps the most interesting use case of all, however, is the potent... CPUs
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.
SemiconductorsG.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.
MemoryOne 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.
SemiconductorsIntel 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.
CPUsOne 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.
SemiconductorsG.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.
MemoryOne 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.
SemiconductorsIntel 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.
CPUsAt 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.
StorageAt 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.
StorageAt 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.
StorageOne 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.
SemiconductorsOne 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.
SemiconductorsG.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.
MemoryOne 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
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