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
Posted by The Techinical Support
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
A Single Loihi 2 Chip (31 mm2)
XPG Demos "Nia" Handheld Gaming PC With Foveated Rendering, Swappable DRAM 
With the rise of the handheld gaming PC market, we've seen PC vendors and their partners toy with a number of tricks and tweaks to improve improve framerates in games, with some of their latest efforts on display at this year's Computex trade show. Perhaps the most interesting find thus far comes from ADATA sub-brand XPG, who is demoing their prototype "Nia" handheld PC, which uses eye tracking and dynamic foveated rendering to further improve their rendering performance.
For those unfamiliar, dynamic foveated rendering is a graphics technique that is sometimes used to boost performance in virtual reality (VR) and augmented reality (AR) applications by taking advantage of how human vision works. Typically, humans can only perceive detailed imagery in the relatively small central area of our vision called the fovea, while our peripheral vision is much less detailed. Dynamic foveated rendering, in turn, exploits this by using real-time eye tracking to determine where the user is looking, and then rendering just that area in high/full resolution, while rendering the peripheral areas in lower resolution. The net result is that only a fraction of the screen is rendered at full detail, which cuts down on the total amount of rendering work required and boosting framerates on performance-limited devices.
As stated before, this technology is sometimes used in high-end AR/VR headsets, where high resolution displays are placed mere inches from one's face. This ends up being an ideal use case for the technique, since at those distances, only a small fraction of the screen is within the fovea.
Using dynamic foveated rendering for a handheld, on the other hand, is a more novel application. All of the same visual principles apply, but the resolutions at play are lower, and the screen is farther from the users' eyes. This makes a handheld device a less ideal use case, at least on paper, as a larger portion of the screen is going to be in the fovea, and thus will need to be rendered at full resolution. None the less, it will be interesting to see how XPG's efforts pan out, and if dynamic foveated rendering is beneficial enough for handheld PCs. As we sometimes see with trade show demos, not everything makes it out of the prototype stage.
According to a press release put out by ADATA ahead of the trade show, the eye tracking technology is being provided by AMD collaborator Eyeware. Notably, their software-based approach runs on top of standard webcams, rather than requiring IR cameras. So the camera hardware itself should be pretty straight-forward.
Foveated rendering aside, XPG is making sure that the Nia won't be a one-trick pony. The handheld's other major claim to fame is its hardware swappability. The prototype handheld not only features a removable M.2-2230 SSD, but the company is also taking advantage of the recently-introduced LPCAMM2 memory module standard to introduce removable DRAM. Via a hatch in the back of the handheld, device owners would be able to swap out LPCAMM2 LPDDR5X modules for higher capacity versions. This would give the handheld an additional degree of future-proofness over current handhelds, which use non-replaceable soldered-down memory.
Rounding out the package, the current prototype is based on an AMD's Zen 4 Phoenix APU, which is used across both of the company's current mobile lines (Ryzen Mobile 7000/8000 and Ryzen Z1). Meanwhile, the unit's display is adjustable, allowing it to be angled away from the body of the handheld.
Assuming all goes well with the prototype, XPG aims to release a finished product in 2025.
ADATA
Sabrent Launches Rocket Nano M.2-2242 SSD: Up to 5 GB/sec 
Sabrent tends to get into news when it launches ultra-high-performance SSDs for enthusiast-grade desktops, but this week the company introduced a completely different type of product: a small form-factor M.2-2242 SSD aimed at Lenovo's Legion Go handheld and ultra-thin laptops that don't accomodate M.2-2280 drives. And even though it's not an enthusiast-grade drive, the Rocket Nano still boasts with quite decent performance and capacity.
The Sabrent Rocket Nano 2242 (SB-2142) drive is based on the Phison E27T platform, a PCIe 4.0 x4 controller that is that is designed for mainstream DRAM-less SSDs, and in the case of the Rocket Nano, is paired with 3D TLC memory. The SSD is available in a single 1TB configuration, and is rated for read speeds up to 5 GB/s. Interestingly, the Phison E27T controller itself is rated for read speeds up to 7 GB/s, so it appears that the petite Rocket Nano isn't making full use of the controller's performance.
Sabrent positions its Rocket Nano 2242 SSD as drives for upgrading Lenovo's Legion Go portable game console, select Lenovo ThinkPad laptops, and other M.2-2242-sized PCs that can't accomodate larger 2280 drives. Keeping in mind that most devices shipping with M.2-2242 SSDscome with pretty slow stock drives, Sabrent solution seems to be a viable product for such upgrades. All the while, Sabrent's Rocket Nano 2242 will also work in systems with a PCIe 3.0 x4 M.2 slots, so the market for these drives is pretty wide.
Sabrent's Rocket Nano 2242 SSD 1 TB (SB-2142-1TB) SSD has a recommended price of $99.99, which is more or less in line with other 1 TB drives in the same form-factor and offering comparable performance. The SSD is currently available at Amazon for $101.
Sources: Tom's Hardware, Sabrent
Storage
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
A Single Loihi 2 Chip (31 mm2)
XPG Demos "Nia" Handheld Gaming PC With Foveated Rendering, Swappable DRAM
With the rise of the handheld gaming PC market, we've seen PC vendors and their partners toy with a number of tricks and tweaks to improve improve framerates in games, with some of their latest efforts on display at this year's Computex trade show. Perhaps the most interesting find thus far comes from ADATA sub-brand XPG, who is demoing their prototype "Nia" handheld PC, which uses eye tracking and dynamic foveated rendering to further improve their rendering performance.
For those unfamiliar, dynamic foveated rendering is a graphics technique that is sometimes used to boost performance in virtual reality (VR) and augmented reality (AR) applications by taking advantage of how human vision works. Typically, humans can only perceive detailed imagery in the relatively small central area of our vision called the fovea, while our peripheral vision is much less detailed. Dynamic foveated rendering, in turn, exploits this by using real-time eye tracking to determine where the user is looking, and then rendering just that area in high/full resolution, while rendering the peripheral areas in lower resolution. The net result is that only a fraction of the screen is rendered at full detail, which cuts down on the total amount of rendering work required and boosting framerates on performance-limited devices.
As stated before, this technology is sometimes used in high-end AR/VR headsets, where high resolution displays are placed mere inches from one's face. This ends up being an ideal use case for the technique, since at those distances, only a small fraction of the screen is within the fovea.
Using dynamic foveated rendering for a handheld, on the other hand, is a more novel application. All of the same visual principles apply, but the resolutions at play are lower, and the screen is farther from the users' eyes. This makes a handheld device a less ideal use case, at least on paper, as a larger portion of the screen is going to be in the fovea, and thus will need to be rendered at full resolution. None the less, it will be interesting to see how XPG's efforts pan out, and if dynamic foveated rendering is beneficial enough for handheld PCs. As we sometimes see with trade show demos, not everything makes it out of the prototype stage.
According to a press release put out by ADATA ahead of the trade show, the eye tracking technology is being provided by AMD collaborator Eyeware. Notably, their software-based approach runs on top of standard webcams, rather than requiring IR cameras. So the camera hardware itself should be pretty straight-forward.
Foveated rendering aside, XPG is making sure that the Nia won't be a one-trick pony. The handheld's other major claim to fame is its hardware swappability. The prototype handheld not only features a removable M.2-2230 SSD, but the company is also taking advantage of the recently-introduced LPCAMM2 memory module standard to introduce removable DRAM. Via a hatch in the back of the handheld, device owners would be able to swap out LPCAMM2 LPDDR5X modules for higher capacity versions. This would give the handheld an additional degree of future-proofness over current handhelds, which use non-replaceable soldered-down memory.
Rounding out the package, the current prototype is based on an AMD's Zen 4 Phoenix APU, which is used across both of the company's current mobile lines (Ryzen Mobile 7000/8000 and Ryzen Z1). Meanwhile, the unit's display is adjustable, allowing it to be angled away from the body of the handheld.
Assuming all goes well with the prototype, XPG aims to release a finished product in 2025.
ADATA
Sabrent Launches Rocket Nano M.2-2242 SSD: Up to 5 GB/sec
Sabrent tends to get into news when it launches ultra-high-performance SSDs for enthusiast-grade desktops, but this week the company introduced a completely different type of product: a small form-factor M.2-2242 SSD aimed at Lenovo's Legion Go handheld and ultra-thin laptops that don't accomodate M.2-2280 drives. And even though it's not an enthusiast-grade drive, the Rocket Nano still boasts with quite decent performance and capacity.
The Sabrent Rocket Nano 2242 (SB-2142) drive is based on the Phison E27T platform, a PCIe 4.0 x4 controller that is that is designed for mainstream DRAM-less SSDs, and in the case of the Rocket Nano, is paired with 3D TLC memory. The SSD is available in a single 1TB configuration, and is rated for read speeds up to 5 GB/s. Interestingly, the Phison E27T controller itself is rated for read speeds up to 7 GB/s, so it appears that the petite Rocket Nano isn't making full use of the controller's performance.
Sabrent positions its Rocket Nano 2242 SSD as drives for upgrading Lenovo's Legion Go portable game console, select Lenovo ThinkPad laptops, and other M.2-2242-sized PCs that can't accomodate larger 2280 drives. Keeping in mind that most devices shipping with M.2-2242 SSDscome with pretty slow stock drives, Sabrent solution seems to be a viable product for such upgrades. All the while, Sabrent's Rocket Nano 2242 will also work in systems with a PCIe 3.0 x4 M.2 slots, so the market for these drives is pretty wide.
Sabrent's Rocket Nano 2242 SSD 1 TB (SB-2142-1TB) SSD has a recommended price of $99.99, which is more or less in line with other 1 TB drives in the same form-factor and offering comparable performance. The SSD is currently available at Amazon for $101.
Sources: Tom's Hardware, Sabrent
Storage
![TSMC to Expand Specialty Capacity by 50%, Introduce 4nm N4e Low-Power Node <p align="center"><a href="https://www.anandtech.com/show/21397/tsmc-to-expand-specialty-capacity-by-50-introduce-4nm-lowpower-node"><img src="https://images.anandtech.com/doci/21397/tsmc-semiconductor-fab-wafer-1-678_575px.jpg" alt="" /></a></p><p><p>With all the new fabs being built in Germany and Japan, as well as the expansion of production capacity in China, TSMC is planning to extend its production capacity for specialty technologies by 50% by 2027. As disclosed by the company during its European Technology Symposium this week, TSMC expects to need to not only convert existing capacity to meet demands for specialty processes, but even build new (greenfield) fab space just for this purpose. One of the big drivers for this demand, in turn, will be TSMC's next specialty node: N4e, a 4nm-class ultra-low-power production node.</p>
<p>"In the past, we always did the review phase [for upcoming fabs], but for the first time in a long time at TSMC, we started building greenfield fab that will address the future specialty technology requirements," said Dr. Kevin Zhang, Senior Vice President, Business Development and Overseas Operations Office, at the event. "In the next four to five years, we actually going to grow our specialty capacity by up to 1.5x. In doing so we actually expanding the footprint of our manufacturing network to improve the resiliency of the overall fab supply chain."</p>
<p>On top of its well-known major logic nodes like N5 and N3E, TSMC also offers a suite of specialty nodes for applications such as power semiconductors, mixed analog I/O, and ultra-low-power applications (e.g. IoT). These are typically based on the company's trailing manufacturing processes, but regardless of the underlying technology, the capacity demand for these nodes is growing right alongside the demand for TSMC's major logic nodes. All of which has required TSMC to reevaluate how they go about planning for capacity on their specialty nodes.</p>
<p>TSMC's expansion strategy in the recent years has pursued several goals. One of them has been to build new fabs outside of Taiwan; another has been to generally expand production capacity to meet future demand for all types of process technologies – which is why the company is building up capacity for specialty nodes.</p>
<p>At present, TSMC's most advanced specialty node is N6e, an N7/N6 variant that supports operating voltages between 0.4V and 0.9V. With N4e, TSMC is looking at voltages below 0.4V. Though for now, TSMC is not disclosing much in the way of technical details for the planned node; given the company's history here, we expect they'll have more to talk about next year once the new process is ready.</p>
</p> Semiconductors](https://lh3.googleusercontent.com/blogger_img_proxy/AEn0k_u0vAQLf1gWH8hv0HUxxVy4XI_mQ_oElCKxsW2lJ3VuifPhPgAT9IvGi5HJas5wHk0V8AdgT-wz8ngzLYQSvPydoIWet8T_6dVR-P-6cKMSNpTlnO4lP79A0Hc-B-DJkjQG1ez1rJEhEldj9IK2Efko4CTpnSQe_A=w72-h72-p-k-no-nu)
Report: MediaTek Working on Arm-Based Processor for Windows PCs 
As Qualcomm's exclusivity for Arm-powered processors for Windows PCs is reportedly coming to its end, other chipmakers are getting ready to offer their Arm-based system-on-chips for Windows computers. And, according to a new report from Reuters, MediaTek will be among the companies jumping into the Windows-on-Arm field, with plans to launch their first PC processor late next year.
MediaTek's system-on-chip for Windows PCs will rely on Arm's 'ready-made designs,' according to Reuters. Which in turn hints that MediaTek would be using Arm's compute sub-system (CSS) for client PCs, a building block designed to significantly speed up development of SoCs.
With the vauge nature of the Reuters report, however, which version of Arm's IP MediaTek might be using remains unclear, and the answer to that will largely hinge on timing. Arm refreshes its client cores and IP offerings yearly – typically announcing them to the public in May – with finished chips rolling out as early as later in the year. So depending on just how late in the year MediaTek is planning to launch their chip, the company has a large enough window to potentially use either the current 2024 client designs, or next year's 2025 designs.
For reference, Arm's 2024 CSS for client systems is quite powerful on its own. It includes two ultra-high-performance Arm Cortex-X925 cores (each with up to 3MB L2 cache and clock speeds over 3.60 GHz, supporting SVE and SVE2), four high-performance Cortex-A725 cores, two energy-efficient Cortex-A520 cores, and an Immortalis-G925 graphics processor. And, of course, MediaTek has the expertise to skip Arm's CSS and build their own bespoke designs as well, if that's what they'd prefer.
Overall, the latest client designs from Arm can accommodate up to 14 CPU cores – Arm intentionally leaves headroom for designs to be scaled-up for laptops – which would make for quite a formidable chip. But the PC SoC market has no shortage of capable contenders with their own designs; besides Qualcomm's Snapdragon X processors, MediaTek would also be going up against the latest designs from Intel and AMD. All of whom are planning to make big plays for the mobile PC market in the next several months. So MediaTek will need to make a serious effort if their effort to jump into the PC SoC market are to succeed.
Since 2016, Microsoft has partnered with Qualcomm to bring Arm's processor architecture, which is widely used in smartphones, to Windows PCs. Qualcomm has an exclusive agreement to supply these chips for the next several months (the exact timing remains unclear), after which other designers like MediaTek can enter the market. Qualcomm, for its part, has benefited greatly from collaborating with Microsoft, so it will be interesting to see if Microsoft extends a similar hand out to other Arm chip makers.
Ultimately, the market for Arm PC SoCs has the potential to get crowded quickly. According to previous reports from Reuters, both AMD and NVIDIA are also developing Arm-based chips for Windows. So if all of those projects come to fruition, there could potentially be several Arm SoCs available to PC manufacturers around the same time. All of which would be a massive change from the past 20 years of the PC, where Intel and AMD have been the entire market.
Both MediaTek and Microsoft have declined to comment on the ongoing developments, the news agency states.
CPUs
![](https://twitter.com/share?url=https://compbuddey.blogspot.com/2025/02/kioxia-demonstrates-optical-interface_53.html&text=Kioxia Demonstrates Optical Interface SSDs for Data Centers <p align="center"><a href="https://www.anandtech.com/show/21520/kioxia-demonstrates-optical-interface-ssds-for-data-centers"><img src="https://images.anandtech.com/doci/21520/ossd-carousel_575px.jpg" alt="" /></a></p><p><p>A few years back, the Japanese government's New Energy and Industrial Technology Development Organization (NEDO ) allocated <a href="https://green-innovation.nedo.go.jp/en/project/building-next-generation-digital-infrastructure/summary/">funding</a> 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.</p>
<p align="center"><a href="https://www.anandtech.com/show/21520/kioxia-demonstrates-optical-interface-ssds-for-data-centers"><img alt="" src="https://images.anandtech.com/doci/21520/opt-ssd0_575px.jpg" /></a></p>
<p>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.</p>
<p align="center"><a href="https://www.anandtech.com/show/21520/kioxia-demonstrates-optical-interface-ssds-for-data-centers"><img alt="" src="https://images.anandtech.com/doci/21520/opt-ssd1_575px.jpg" /></a></p>
<p>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.</p>
<p>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 <a href="https://www.anandtech.com/show/19990/pcisig-forms-optical-workgroup-lighting-the-way-to-pcies-future">PCI-SIG optical workgroup</a> will need to get its act together soon to create a standards-based approach to this problem.</p>
</p> Storage){kind=link}
![](https://www.pinterest.com/pin/create/button/?url=https://compbuddey.blogspot.com/2025/02/kioxia-demonstrates-optical-interface_53.html&media=https://lh3.googleusercontent.com/blogger_img_proxy/AEn0k_sf3B_3P4fTYYCjkOTtKHAsM8mzYjLPM_8l4yUSLLXoDRQiPJdx79uKoRHHFUrDhMOIA4JDeL8CC0ZJ-Tgj0C9WhRteXH8vaudeh8BAISVqgJvLP5tRl7zzPEmySwXY0eQl&description=Kioxia Demonstrates Optical Interface SSDs for Data Centers <p align="center"><a href="https://www.anandtech.com/show/21520/kioxia-demonstrates-optical-interface-ssds-for-data-centers"><img src="https://images.anandtech.com/doci/21520/ossd-carousel_575px.jpg" alt="" /></a></p><p><p>A few years back, the Japanese government's New Energy and Industrial Technology Development Organization (NEDO ) allocated <a href="https://green-innovation.nedo.go.jp/en/project/building-next-generation-digital-infrastructure/summary/">funding</a> 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.</p>
<p align="center"><a href="https://www.anandtech.com/show/21520/kioxia-demonstrates-optical-interface-ssds-for-data-centers"><img alt="" src="https://images.anandtech.com/doci/21520/opt-ssd0_575px.jpg" /></a></p>
<p>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.</p>
<p align="center"><a href="https://www.anandtech.com/show/21520/kioxia-demonstrates-optical-interface-ssds-for-data-centers"><img alt="" src="https://images.anandtech.com/doci/21520/opt-ssd1_575px.jpg" /></a></p>
<p>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.</p>
<p>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 <a href="https://www.anandtech.com/show/19990/pcisig-forms-optical-workgroup-lighting-the-way-to-pcies-future">PCI-SIG optical workgroup</a> will need to get its act together soon to create a standards-based approach to this problem.</p>
</p> Storage){kind=link}
![](https://web.whatsapp.com/send?text=Kioxia Demonstrates Optical Interface SSDs for Data Centers <p align="center"><a href="https://www.anandtech.com/show/21520/kioxia-demonstrates-optical-interface-ssds-for-data-centers"><img src="https://images.anandtech.com/doci/21520/ossd-carousel_575px.jpg" alt="" /></a></p><p><p>A few years back, the Japanese government's New Energy and Industrial Technology Development Organization (NEDO ) allocated <a href="https://green-innovation.nedo.go.jp/en/project/building-next-generation-digital-infrastructure/summary/">funding</a> 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.</p>
<p align="center"><a href="https://www.anandtech.com/show/21520/kioxia-demonstrates-optical-interface-ssds-for-data-centers"><img alt="" src="https://images.anandtech.com/doci/21520/opt-ssd0_575px.jpg" /></a></p>
<p>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.</p>
<p align="center"><a href="https://www.anandtech.com/show/21520/kioxia-demonstrates-optical-interface-ssds-for-data-centers"><img alt="" src="https://images.anandtech.com/doci/21520/opt-ssd1_575px.jpg" /></a></p>
<p>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.</p>
<p>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 <a href="https://www.anandtech.com/show/19990/pcisig-forms-optical-workgroup-lighting-the-way-to-pcies-future">PCI-SIG optical workgroup</a> will need to get its act together soon to create a standards-based approach to this problem.</p>
</p> Storage | https://compbuddey.blogspot.com/2025/02/kioxia-demonstrates-optical-interface_53.html){kind=link}
![](mailto:?subject=Kioxia Demonstrates Optical Interface SSDs for Data Centers <p align="center"><a href="https://www.anandtech.com/show/21520/kioxia-demonstrates-optical-interface-ssds-for-data-centers"><img src="https://images.anandtech.com/doci/21520/ossd-carousel_575px.jpg" alt="" /></a></p><p><p>A few years back, the Japanese government's New Energy and Industrial Technology Development Organization (NEDO ) allocated <a href="https://green-innovation.nedo.go.jp/en/project/building-next-generation-digital-infrastructure/summary/">funding</a> 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.</p>
<p align="center"><a href="https://www.anandtech.com/show/21520/kioxia-demonstrates-optical-interface-ssds-for-data-centers"><img alt="" src="https://images.anandtech.com/doci/21520/opt-ssd0_575px.jpg" /></a></p>
<p>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.</p>
<p align="center"><a href="https://www.anandtech.com/show/21520/kioxia-demonstrates-optical-interface-ssds-for-data-centers"><img alt="" src="https://images.anandtech.com/doci/21520/opt-ssd1_575px.jpg" /></a></p>
<p>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.</p>
<p>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 <a href="https://www.anandtech.com/show/19990/pcisig-forms-optical-workgroup-lighting-the-way-to-pcies-future">PCI-SIG optical workgroup</a> will need to get its act together soon to create a standards-based approach to this problem.</p>
</p> Storage&body=https://compbuddey.blogspot.com/2025/02/kioxia-demonstrates-optical-interface_53.html){kind=link}
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
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's.
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
A Single Loihi 2 Chip (31 mm2)
XPG Demos "Nia" Handheld Gaming PC With Foveated Rendering, Swappable DRAM
With the rise of the handheld gaming PC market, we've seen PC vendors and their partners toy with a number of tricks and tweaks to improve improve framerates in games, with some of their latest efforts on display at this year's Computex trade show. Perhaps the most interesting find thus far comes from ADATA sub-brand XPG, who is demoing their prototype "Nia" handheld PC, which uses eye tracking and dynamic foveated rendering to further improve their rendering performance.
For those unfamiliar, dynamic foveated rendering is a graphics technique that is sometimes used to boost performance in virtual reality (VR) and augmented reality (AR) applications by taking advantage of how human vision works. Typically, humans can only perceive detailed imagery in the relatively small central area of our vision called the fovea, while our peripheral vision is much less detailed. Dynamic foveated rendering, in turn, exploits this by using real-time eye tracking to determine where the user is looking, and then rendering just that area in high/full resolution, while rendering the peripheral areas in lower resolution. The net result is that only a fraction of the screen is rendered at full detail, which cuts down on the total amount of rendering work required and boosting framerates on performance-limited devices.
As stated before, this technology is sometimes used in high-end AR/VR headsets, where high resolution displays are placed mere inches from one's face. This ends up being an ideal use case for the technique, since at those distances, only a small fraction of the screen is within the fovea.
Using dynamic foveated rendering for a handheld, on the other hand, is a more novel application. All of the same visual principles apply, but the resolutions at play are lower, and the screen is farther from the users' eyes. This makes a handheld device a less ideal use case, at least on paper, as a larger portion of the screen is going to be in the fovea, and thus will need to be rendered at full resolution. None the less, it will be interesting to see how XPG's efforts pan out, and if dynamic foveated rendering is beneficial enough for handheld PCs. As we sometimes see with trade show demos, not everything makes it out of the prototype stage.
According to a press release put out by ADATA ahead of the trade show, the eye tracking technology is being provided by AMD collaborator Eyeware. Notably, their software-based approach runs on top of standard webcams, rather than requiring IR cameras. So the camera hardware itself should be pretty straight-forward.
Foveated rendering aside, XPG is making sure that the Nia won't be a one-trick pony. The handheld's other major claim to fame is its hardware swappability. The prototype handheld not only features a removable M.2-2230 SSD, but the company is also taking advantage of the recently-introduced LPCAMM2 memory module standard to introduce removable DRAM. Via a hatch in the back of the handheld, device owners would be able to swap out LPCAMM2 LPDDR5X modules for higher capacity versions. This would give the handheld an additional degree of future-proofness over current handhelds, which use non-replaceable soldered-down memory.
Rounding out the package, the current prototype is based on an AMD's Zen 4 Phoenix APU, which is used across both of the company's current mobile lines (Ryzen Mobile 7000/8000 and Ryzen Z1). Meanwhile, the unit's display is adjustable, allowing it to be angled away from the body of the handheld.
Assuming all goes well with the prototype, XPG aims to release a finished product in 2025.
ADATA
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