Intel Teases Lunar Lake At Intel Vision 2024: 100+ TOPS Overall, 45 TOPS From NPU Alone
During the main keynote at Intel Vision 2024, Intel CEO Pat Gelsinger flashed a completed Lunar Lake chip off, much like EVP and General Manager of Intel's Client Computing Group (CCG) Michelle Johnston Holthaus did back at CES 2024. The contrast between the two glimpses of the Lunar Lake chip is that Pat Gelsinger gave us something juicier than just a photo op. He clarified and claimed the levels of AI performance we can expect to see when Lunar Lake launches.
According to Intel's CEO Pat Gelsinger, Lunar Lake, scheduled to be launched towards the end of this year, is set to raise the bar even further regarding on-chip AI capabilities and performance. At Intel's own Vision event, aptly named Intel Vision, current CEO of Intel Pat Gelsinger stated during his presentation that Lunar Lake will be the 'flagship SoC' for the next generation of AI PCs. Intel claims that Lunar Lake will have 3X the AI performance of their current Meteor Lake SoC, which is impressive as Meteor Lake is estimated to be running around 34 TOPS combined with the NPU, GPU, and CPU.
Factoring in the NPU within Meteor Lake, 11 of the 34 TOPS come solely from the NPU. Still, Intel claims that the NPU on Lunar Lake will hit a large 45 TOPs, akin to the Hailo-10 add-in card and similar to Qualcomm's Snapdragon X Elite processor. Factoring in the integrated graphics and the compute cores, Intel is claiming a combined total of over 100 TOPS, and with Microsoft's self-imposed guidelines of what constitutes an 'AI PC' coming in at 40 TOPS, Intel's NPU fits the bill.
Intel also alludes to how they are gaining a load of TOPS performance from the NPU, whether that be with new technologies; the NPU will likely be built in a more advanced node, perhaps Intel 18A. Another thing Intel didn't highlight was how they were measuring the TOPS performance, whether that be INT8 or INT4.
Still, one thing is clear: Intel wants to increase on-chip AI capabilities in desktop PCs and notebooks with each generation. Intel is also attempting to leverage more AI performance to help boost its goal to ship 100 million AI PCs by the end of 2025. Intel has already announced that it's shipped 5 million thus far and plans to sell another 40 million units by the end of the year.
CPUs
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PCI-SIG Demonstrates PCIe 6.0 Interoperability at FMS 2024 As the deployment of PCIe 5.0 picks up steam in both datacenter and consumer markets, PCI-SIG is not sitting idle, and is already working on getting the ecosystem ready for the updats to the PCIe specifications. At FMS 2024, some vendors were even talking about PCIe 7.0 with its 128 GT/s capabilities despite PCIe 6.0 not even starting to ship yet. We caught up with PCI-SIG to get some updates on its activities and have a discussion on the current state of the PCIe ecosystem. PCI-SIG has already made the PCIe 7.0 specifications (v 0.5) available to its members, and expects full specifications to be officially released sometime in 2025. The goal is to deliver a 128 GT/s data rate with up to 512 GBps of bidirectional traffic using x16 links. Similar to PCIe 6.0, this specification will also utilize PAM4 signaling and maintain backwards compatibility. Power efficiency as well as silicon die area are also being kept in mind as part of the drafting process. The move to PAM4 signaling brings higher bit-error rates compared to the previous NRZ scheme. This made it necessary to adopt a different error correction scheme in PCIe 6.0 - instead of operating on variable length packets, PCIe 6.0's Flow Control Unit (FLIT) encoding operates on fixed size packets to aid in forward error correction. PCIe 7.0 retains these aspects. The integrators list for the PCIe 6.0 compliance program is also expected to come out in 2025, though initial testing is already in progress. This was evident by the FMS 2024 demo involving Cadence's 3nm test chip for its PCIe 6.0 IP offering along with Teledyne Lecroy's PCIe 6.0 analyzer. These timelines track well with the specification completion dates and compliance program availability for previous PCIe generations. We also received an update on the optical workgroup - while being optical-technology agnostic, the WG also intends to develop technology-specific form-factors including pluggable optical transceivers, on-board optics, co-packaged optics, and optical I/O. The logical and electrical layers of the PCIe 6.0 specifications are being enhanced to accommodate the new optical PCIe standardization and this process will also be done with PCIe 7.0 to coincide with that standard's release next year. The PCI-SIG also has ongoing cabling initiatives. On the consumer side, we have seen significant traction for Thunderbolt and external GPU enclosures. However, even datacenters and enterprise systems are moving towards cabling solutions as it becomes evident that disaggregation of components such as storage from the CPU and GPU are better for thermal design. Additionally maintaining signal integrity over longer distances becomes difficult for on-board signal traces. Cabling internal to the computing systems can help here. OCuLink emerged as a good candidate and was adopted fairly widely as an internal link in server systems. It has even made an appearance in mini-PCs from some Chinese manufacturers in its external avatar for the consumer market, albeit with limited traction. As speeds increase, a widely-adopted standard for external PCIe peripherals (or even connecting components within a system) will become imperative. Storage
Samsung's 128 TB-Class BM1743 Enterprise SSD Displayed at FMS 2024 Samsung had quietly launched its BM1743 enterprise QLC SSD last month with a hefty 61.44 TB SKU. At FMS 2024, the company had the even larger 122.88 TB version of that SSD on display, alongside a few recorded benchmarking sessions. Compared to the previous generation, the BM1743 comes with a 4.1x improvement in I/O performance, improvement in data retention, and a 45% improvement in power efficiency for sequential writes. The 128 TB-class QLC SSD boasts of sequential read speeds of 7.5 GBps and write speeds of 3 GBps. Random reads come in at 1.6 M IOPS, while 16 KB random writes clock in at 45K IOPS. Based on the quoted random write access granularity, it appears that Samsung is using a 16 KB indirection unit (IU) to optimize flash management. This is similar to the strategy adopted by Solidigm with IUs larger than 4K in their high-capacity SSDs. A recorded benchmark session on the company's PM9D3a 8-channel Gen 5 SSD was also on display. The SSD family is being promoted as a mainstream option for datacenters, and boasts of sequential reads up to 12 GBps and writes up to 6.8 GBps. Random reads clock in at 2 M IOPS, and random writes at 400 K IOPS. Available in multiple form-factors up to 32 TB (M.2 tops out at 2 TB), the drive's firmware includes optional support for flexible data placement (FDP) to help address the write amplification aspect. The PM1753 is the current enterprise SSD flagship in Samsung's lineup. With support for 16 NAND channels and capacities up to 32 TB, this U.2 / E3.S SSD has advertised sequential read and write speeds of 14.8 GBps and 11 GBps respectively. Random reads and writes for 4 KB accesses are listed at 3.4 M and 600 K IOPS. Samsung claims a 1.7x performance improvement and a 1.7x power efficiency improvement over the previous generation (PM1743), making this TLC SSD suitable for AI servers. The 9th Gen. V-NAND wafer was also available for viewing, though photography was prohibited. Mass production of this flash memory began in April 2024. Storage
Kioxia Demonstrates Optical Interface SSDs for Data Centers A few years back, the Japanese government's New Energy and Industrial Technology Development Organization (NEDO ) allocated funding for the development of green datacenter technologies. With the aim to obtain up to 40% savings in overall power consumption, several Japanese companies have been developing an optical interface for their enterprise SSDs. And at this year's FMS, Kioxia had their optical interface on display. For this demonstration, Kioxia took its existing CM7 enterprise SSD and created an optical interface for it. A PCIe card with on-board optics developed by Kyocera is installed in the server slot. An optical interface allows data transfer over long distances (it was 40m in the demo, but Kioxia promises lengths of up to 100m for the cable in the future). This allows the storage to be kept in a separate room with minimal cooling requirements compared to the rack with the CPUs and GPUs. Disaggregation of different server components will become an option as very high throughput interfaces such as PCIe 7.0 (with 128 GT/s rates) become available. The demonstration of the optical SSD showed a slight loss in IOPS performance, but a significant advantage in the latency metric over the shipping enterprise SSD behind a copper network link. Obviously, there are advantages in wiring requirements and signal integrity maintenance with optical links. Being a proof-of-concept demonstration, we do see the requirement for an industry-standard approach if this were to gain adoption among different datacenter vendors. The PCI-SIG optical workgroup will need to get its act together soon to create a standards-based approach to this problem. Storage
Intel Sells Its Arm Shares, Reduces Stakes in Other Companies
Intel has divested its entire stake in Arm Holdings during the second quarter, raising approximately $147 million. Alongside this, Intel sold its stake in cybersecurity firm ZeroFox and reduced its holdings in Astera Labs, all as part of a broader effort to manage costs and recover cash amid significant financial challenges.
The sale of Intel's 1.18 million shares in Arm Holdings, as reported in a recent SEC filing, comes at a time when the company is struggling with substantial financial losses. Despite the $147 million generated from the sale, Intel reported a $120 million net loss on its equity investments for the quarter, which is a part of a larger $1.6 billion loss that Intel faced during this period.
In addition to selling its stake in Arm, Intel also exited its investment in ZeroFox and reduced its involvement with Astera Labs, a company known for developing connectivity platforms for enterprise hardware. These moves are in line with Intel's strategy to reduce costs and stabilize its financial position as it faces ongoing market challenges.
Despite the divestment, Intel's past investment in Arm was likely driven by strategic considerations. Arm Holdings is a significant force in the semiconductor industry, with its designs powering most mobile devices, and, for obvious reasons, Intel would like to address these. Intel and Arm are also collaborating on datacenter platforms tailored for Intel's 18A process technology. Additionally, Arm might view Intel as a potential licensee for its technologies and a valuable partner for other companies that license Arm's designs.
Intel's investment in Astera Labs was also a strategic one as the company probably wanted to secure steady supply of smart retimers, smart cable modems, and CXL memory controller, which are used in volumes in datacenters and Intel is certainly interested in selling as many datacenter CPUs as possible.
Intel's financial struggles were highlighted earlier this month when the company released a disappointing earnings report, which led to a 33% drop in its stock value, erasing billions of dollars of capitalization. To counter these difficulties, Intel announced plans to cut 15,000 jobs and implement other expense reductions. The company has also suspended its dividend, signaling the depth of its efforts to conserve cash and focus on recovery. When it comes to divestment of Arm stock, the need for immediate financial stabilization has presumably taken precedence, leading to the decision.
CPUs
Silicon Motion Demonstrates Flexible Data Placement on MonTitan Gen 5 Enterprise SSD Platform
At FMS 2024, the technological requirements from the storage and memory subsystem took center stage. Both SSD and controller vendors had various demonstrations touting their suitability for different stages of the AI data pipeline - ingestion, preparation, training, checkpointing, and inference. Vendors like Solidigm have different types of SSDs optimized for different stages of the pipeline. At the same time, controller vendors have taken advantage of one of the features introduced recently in the NVM Express standard - Flexible Data Placement (FDP).
FDP involves the host providing information / hints about the areas where the controller could place the incoming write data in order to reduce the write amplification. These hints are generated based on specific block sizes advertised by the device. The feature is completely backwards-compatible, with non-FDP hosts working just as before with FDP-enabled SSDs, and vice-versa.
Silicon Motion's MonTitan Gen 5 Enterprise SSD Platform was announced back in 2022. Since then, Silicon Motion has been touting the flexibility of the platform, allowing its customers to incorporate their own features as part of the customization process. This approach is common in the enterprise space, as we have seen with Marvell's Bravera SC5 SSD controller in the DapuStor SSDs and Microchip's Flashtec controllers in the Longsys FORESEE enterprise SSDs.
At FMS 2024, the company was demonstrating the advantages of flexible data placement by allowing a single QLC SSD based on their MonTitan platform to take part in different stages of the AI data pipeline while maintaining the required quality of service (minimum bandwidth) for each process. The company even has a trademarked name (PerformaShape) for the firmware feature in the controller that allows the isolation of different concurrent SSD accesses (from different stages in the AI data pipeline) to guarantee this QoS. Silicon Motion claims that this scheme will enable its customers to get the maximum write performance possible from QLC SSDs without negatively impacting the performance of other types of accesses.
Silicon Motion and Phison have market leadership in the client SSD controller market with similar approaches. However, their enterprise SSD controller marketing couldn't be more different. While Phison has gone in for a turnkey solution with their Gen 5 SSD platform (to the extent of not adopting the white label route for this generation, and instead opting to get the SSDs qualified with different cloud service providers themselves), Silicon Motion is opting for a different approach. The flexibility and customization possibilities can make platforms like the MonTitan appeal to flash array vendors.
Storage
Intel Sells Its Arm Shares, Reduces Stakes in Other Companies
Intel has divested its entire stake in Arm Holdings during the second quarter, raising approximately $147 million. Alongside this, Intel sold its stake in cybersecurity firm ZeroFox and reduced its holdings in Astera Labs, all as part of a broader effort to manage costs and recover cash amid significant financial challenges.
The sale of Intel's 1.18 million shares in Arm Holdings, as reported in a recent SEC filing, comes at a time when the company is struggling with substantial financial losses. Despite the $147 million generated from the sale, Intel reported a $120 million net loss on its equity investments for the quarter, which is a part of a larger $1.6 billion loss that Intel faced during this period.
In addition to selling its stake in Arm, Intel also exited its investment in ZeroFox and reduced its involvement with Astera Labs, a company known for developing connectivity platforms for enterprise hardware. These moves are in line with Intel's strategy to reduce costs and stabilize its financial position as it faces ongoing market challenges.
Despite the divestment, Intel's past investment in Arm was likely driven by strategic considerations. Arm Holdings is a significant force in the semiconductor industry, with its designs powering most mobile devices, and, for obvious reasons, Intel would like to address these. Intel and Arm are also collaborating on datacenter platforms tailored for Intel's 18A process technology. Additionally, Arm might view Intel as a potential licensee for its technologies and a valuable partner for other companies that license Arm's designs.
Intel's investment in Astera Labs was also a strategic one as the company probably wanted to secure steady supply of smart retimers, smart cable modems, and CXL memory controller, which are used in volumes in datacenters and Intel is certainly interested in selling as many datacenter CPUs as possible.
Intel's financial struggles were highlighted earlier this month when the company released a disappointing earnings report, which led to a 33% drop in its stock value, erasing billions of dollars of capitalization. To counter these difficulties, Intel announced plans to cut 15,000 jobs and implement other expense reductions. The company has also suspended its dividend, signaling the depth of its efforts to conserve cash and focus on recovery. When it comes to divestment of Arm stock, the need for immediate financial stabilization has presumably taken precedence, leading to the decision.
CPUs
Silicon Motion Demonstrates Flexible Data Placement on MonTitan Gen 5 Enterprise SSD Platform
At FMS 2024, the technological requirements from the storage and memory subsystem took center stage. Both SSD and controller vendors had various demonstrations touting their suitability for different stages of the AI data pipeline - ingestion, preparation, training, checkpointing, and inference. Vendors like Solidigm have different types of SSDs optimized for different stages of the pipeline. At the same time, controller vendors have taken advantage of one of the features introduced recently in the NVM Express standard - Flexible Data Placement (FDP).
FDP involves the host providing information / hints about the areas where the controller could place the incoming write data in order to reduce the write amplification. These hints are generated based on specific block sizes advertised by the device. The feature is completely backwards-compatible, with non-FDP hosts working just as before with FDP-enabled SSDs, and vice-versa.
Silicon Motion's MonTitan Gen 5 Enterprise SSD Platform was announced back in 2022. Since then, Silicon Motion has been touting the flexibility of the platform, allowing its customers to incorporate their own features as part of the customization process. This approach is common in the enterprise space, as we have seen with Marvell's Bravera SC5 SSD controller in the DapuStor SSDs and Microchip's Flashtec controllers in the Longsys FORESEE enterprise SSDs.
At FMS 2024, the company was demonstrating the advantages of flexible data placement by allowing a single QLC SSD based on their MonTitan platform to take part in different stages of the AI data pipeline while maintaining the required quality of service (minimum bandwidth) for each process. The company even has a trademarked name (PerformaShape) for the firmware feature in the controller that allows the isolation of different concurrent SSD accesses (from different stages in the AI data pipeline) to guarantee this QoS. Silicon Motion claims that this scheme will enable its customers to get the maximum write performance possible from QLC SSDs without negatively impacting the performance of other types of accesses.
Silicon Motion and Phison have market leadership in the client SSD controller market with similar approaches. However, their enterprise SSD controller marketing couldn't be more different. While Phison has gone in for a turnkey solution with their Gen 5 SSD platform (to the extent of not adopting the white label route for this generation, and instead opting to get the SSDs qualified with different cloud service providers themselves), Silicon Motion is opting for a different approach. The flexibility and customization possibilities can make platforms like the MonTitan appeal to flash array vendors.
Storage
Silicon Motion Demonstrates Flexible Data Placement on MonTitan Gen 5 Enterprise SSD Platform
At FMS 2024, the technological requirements from the storage and memory subsystem took center stage. Both SSD and controller vendors had various demonstrations touting their suitability for different stages of the AI data pipeline - ingestion, preparation, training, checkpointing, and inference. Vendors like Solidigm have different types of SSDs optimized for different stages of the pipeline. At the same time, controller vendors have taken advantage of one of the features introduced recently in the NVM Express standard - Flexible Data Placement (FDP).
FDP involves the host providing information / hints about the areas where the controller could place the incoming write data in order to reduce the write amplification. These hints are generated based on specific block sizes advertised by the device. The feature is completely backwards-compatible, with non-FDP hosts working just as before with FDP-enabled SSDs, and vice-versa.
Silicon Motion's MonTitan Gen 5 Enterprise SSD Platform was announced back in 2022. Since then, Silicon Motion has been touting the flexibility of the platform, allowing its customers to incorporate their own features as part of the customization process. This approach is common in the enterprise space, as we have seen with Marvell's Bravera SC5 SSD controller in the DapuStor SSDs and Microchip's Flashtec controllers in the Longsys FORESEE enterprise SSDs.
At FMS 2024, the company was demonstrating the advantages of flexible data placement by allowing a single QLC SSD based on their MonTitan platform to take part in different stages of the AI data pipeline while maintaining the required quality of service (minimum bandwidth) for each process. The company even has a trademarked name (PerformaShape) for the firmware feature in the controller that allows the isolation of different concurrent SSD accesses (from different stages in the AI data pipeline) to guarantee this QoS. Silicon Motion claims that this scheme will enable its customers to get the maximum write performance possible from QLC SSDs without negatively impacting the performance of other types of accesses.
Silicon Motion and Phison have market leadership in the client SSD controller market with similar approaches. However, their enterprise SSD controller marketing couldn't be more different. While Phison has gone in for a turnkey solution with their Gen 5 SSD platform (to the extent of not adopting the white label route for this generation, and instead opting to get the SSDs qualified with different cloud service providers themselves), Silicon Motion is opting for a different approach. The flexibility and customization possibilities can make platforms like the MonTitan appeal to flash array vendors.
Storage
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
MediaTek to Add NVIDIA G-Sync Support to Monitor Scalers, Make G-Sync Displays More Accessible
NVIDIA on Tuesday said that future monitor scalers from MediaTek will support its G-Sync technologies. NVIDIA is partnering with MediaTek to integrate its full range of G-Sync technologies into future monitors without requiring a standalone G-Sync module, which makes advanced gaming features more accessible across a broader range of displays.
Traditionally, G-Sync technology relied on a dedicated G-sync module – based on an Altera FPGA – to handle syncing display refresh rates with the GPU in order to reduce screen tearing, stutter, and input lag. As a more basic solution, in 2019 NVIDIA introduced G-Sync Compatible certification and branding, which leveraged the industry-standard VESA AdaptiveSync technology to handle variable refresh rates. In lieu of using a dedicated module, leveraging AdaptiveSync allowed for cheaper monitors, with NVIDIA's program serving as a stamp of approval that the monitor worked with NVIDIA GPUs and met NVIDIA's performance requirements. Still, G-Sync Compatible monitors still lack some features that, to date, require the dedicated G-Sync module.
Through this new partnership with MediaTek, MediaTek will bring support for all of NVIDIA's G-Sync technologies, including the latest G-Sync Pulsar, directly into their scalers. G-Sync Pulsar enhances motion clarity and reduces ghosting, providing a smoother gaming experience. In addition to variable refresh rates and Pulsar, MediaTek-based G-Sync displays will support such features as variable overdrive, 12-bit color, Ultra Low Motion Blur, low latency HDR, and Reflex Analyzer. This integration will allow more monitors to support a full range of G-Sync features without having to incorporate an expensive FPGA.
The first monitors to feature full G-Sync support without needing an NVIDIA module include the AOC Agon Pro AG276QSG2, Acer Predator XB273U F5, and ASUS ROG Swift 360Hz PG27AQNR. These monitors offer 360Hz refresh rates, 1440p resolution, and HDR support.
What remains to be seen is which specific MediaTek's scalers will support NVIDIA's G-Sync technology – or if the company is going to implement support into all of their scalers going forward. It also remains to be seen whether monitors with NVIDIA's dedicated G-Sync modules retain any advantages over displays with MediaTek's scalers.
Monitors
Western Digital Introduces 4 TB microSDUC, 8 TB SDUC, and 16 TB External SSDs
Western Digital's BiCS8 218-layer 3D NAND is being put to good use in a wide range of client and enterprise platforms, including WD's upcoming Gen 5 client SSDs and 128 TB-class datacenter SSD. On the external storage front, the company demonstrated four different products: for card-based media, 4 TB microSDUC and 8 TB SDUC cards with UHS-I speeds, and on the portable SSD front we had two 16 TB drives. One will be a SanDisk Desk Drive with external power, and the other in the SanDisk Extreme Pro housing with a lanyard opening in the case.
All of these are using BiCS8 QLC NAND, though I did hear booth talk (as I was taking leave) that they were not supposed to divulge the use of QLC in these products. The 4 TB microSDUC and 8 TB SDUC cards are rated for UHS-I speeds. They are being marketed under the SanDisk Ultra branding.
The SanDisk Desk Drive is an external SSD with a 18W power adapter, and it has been in the market for a few months now. Initially launched in capacities up to 8 TB, Western Digital had promised a 16 TB version before the end of the year. It appears that the product is coming to retail quite soon. One aspect to note is that this drive has been using TLC for the SKUs that are currently in the market, so it appears unlikely that the 16 TB version would be QLC. The units (at least up to the 8 TB capacity point) come with two SN850XE drives. Given the recent introduction of the 8 TB SN850X, an 'E' version with tweaked firmware is likely to be present in the 16 TB Desk Drive.
The 16 TB portable SSD in the SanDisk Extreme housing was a technology demonstration. It is definitely the highest capacity bus-powered portable SSD demonstrated by any vendor at any trade show thus far. Given the 16 TB Desk Drive's imminent market introduction, it is just a matter of time before the technology demonstration of the bus-powered version becomes a retail reality.
Storage
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
Kioxia Demonstrates RAID Offload Scheme for NVMe Drives
![](https://twitter.com/share?url=https://compbuddey.blogspot.com/2024/04/intel-teases-lunar-lake-at-intel-vision_4.html&text=Intel Teases Lunar Lake At Intel Vision 2024: 100+ TOPS Overall, 45 TOPS From NPU Alone <p align="center"><a href="https://www.anandtech.com/show/21346/intel-teases-lunar-lake-at-intel-vision-2024-100-tops-overall-45-tops-from-npu-alone"><img src="https://images.anandtech.com/doci/21346/K9S4RdVcA8G6EvnE5Uib4A-970-80ss_575px.jpg" alt="" /></a></p><p><p>During the main keynote at Intel Vision 2024, Intel CEO Pat Gelsinger flashed a completed Lunar Lake chip off, much like EVP and General Manager of Intel's Client Computing Group (CCG) Michelle Johnston Holthaus did back at CES 2024. The contrast between the two glimpses of the Lunar Lake chip is that Pat Gelsinger gave us something juicier than just a photo op. He clarified and claimed the levels of AI performance we can expect to see when Lunar Lake launches.</p>
<p>According to Intel's CEO Pat Gelsinger, Lunar Lake, scheduled to be launched towards the end of this year, is set to raise the bar even further regarding on-chip AI capabilities and performance. At Intel's own Vision event, aptly named Intel Vision, current CEO of Intel Pat Gelsinger stated during his presentation that Lunar Lake will be the 'flagship SoC' for the next generation of AI PCs. Intel claims that Lunar Lake will have 3X the AI performance of their current Meteor Lake SoC, which is impressive as Meteor Lake is estimated to be running around 34 TOPS combined with the NPU, GPU, and CPU.</p>
<p align="center"><a href="https://www.anandtech.com/show/21346/intel-teases-lunar-lake-at-intel-vision-2024-100-tops-overall-45-tops-from-npu-alone"><img alt="" src="https://images.anandtech.com/doci/21346/GKvk0HjaAAA0jp7dd_575px.jpg" /></a></p>
<p>Factoring in the NPU within Meteor Lake, 11 of the 34 TOPS come solely from the NPU. Still, Intel claims that the NPU on Lunar Lake will hit a large 45 TOPs, akin to the Hailo-10 add-in card and similar to Qualcomm's Snapdragon X Elite processor. Factoring in the integrated graphics and the compute cores, Intel is claiming a combined total of over 100 TOPS, and with Microsoft's self-imposed guidelines of what constitutes an 'AI PC' coming in at 40 TOPS, Intel's NPU fits the bill.</p>
<p>Intel also alludes to how they are gaining a load of TOPS performance from the NPU, whether that be with new technologies; the NPU will likely be built in a more advanced node, perhaps Intel 18A. Another thing Intel didn't highlight was how they were measuring the TOPS performance, whether that be INT8 or INT4.</p>
<p>Still, one thing is clear: Intel wants to increase on-chip AI capabilities in desktop PCs and notebooks with each generation. Intel is also attempting to leverage more AI performance to help boost its goal to ship 100 million AI PCs by the end of 2025. Intel has already announced that it's shipped 5 million thus far and plans to sell another 40 million units by the end of the year.</p>
</p> CPUs){kind=link}
![](https://www.pinterest.com/pin/create/button/?url=https://compbuddey.blogspot.com/2024/04/intel-teases-lunar-lake-at-intel-vision_4.html&media=https://lh3.googleusercontent.com/blogger_img_proxy/AEn0k_tnw1eIY90aAdEwE34K5PM7_PoG1WZ5XwXyYHAmsEwugiwJ51_soJWidBfB9_jYvVyZZ9H_8mB9wMs4FQ_psX50NVEhrUR4leh5trg4cubqdeANwPm4PQEXCozxqBFARYo4CYWnAMB737mYK2UtiDfz4JqKrw&description=Intel Teases Lunar Lake At Intel Vision 2024: 100+ TOPS Overall, 45 TOPS From NPU Alone <p align="center"><a href="https://www.anandtech.com/show/21346/intel-teases-lunar-lake-at-intel-vision-2024-100-tops-overall-45-tops-from-npu-alone"><img src="https://images.anandtech.com/doci/21346/K9S4RdVcA8G6EvnE5Uib4A-970-80ss_575px.jpg" alt="" /></a></p><p><p>During the main keynote at Intel Vision 2024, Intel CEO Pat Gelsinger flashed a completed Lunar Lake chip off, much like EVP and General Manager of Intel's Client Computing Group (CCG) Michelle Johnston Holthaus did back at CES 2024. The contrast between the two glimpses of the Lunar Lake chip is that Pat Gelsinger gave us something juicier than just a photo op. He clarified and claimed the levels of AI performance we can expect to see when Lunar Lake launches.</p>
<p>According to Intel's CEO Pat Gelsinger, Lunar Lake, scheduled to be launched towards the end of this year, is set to raise the bar even further regarding on-chip AI capabilities and performance. At Intel's own Vision event, aptly named Intel Vision, current CEO of Intel Pat Gelsinger stated during his presentation that Lunar Lake will be the 'flagship SoC' for the next generation of AI PCs. Intel claims that Lunar Lake will have 3X the AI performance of their current Meteor Lake SoC, which is impressive as Meteor Lake is estimated to be running around 34 TOPS combined with the NPU, GPU, and CPU.</p>
<p align="center"><a href="https://www.anandtech.com/show/21346/intel-teases-lunar-lake-at-intel-vision-2024-100-tops-overall-45-tops-from-npu-alone"><img alt="" src="https://images.anandtech.com/doci/21346/GKvk0HjaAAA0jp7dd_575px.jpg" /></a></p>
<p>Factoring in the NPU within Meteor Lake, 11 of the 34 TOPS come solely from the NPU. Still, Intel claims that the NPU on Lunar Lake will hit a large 45 TOPs, akin to the Hailo-10 add-in card and similar to Qualcomm's Snapdragon X Elite processor. Factoring in the integrated graphics and the compute cores, Intel is claiming a combined total of over 100 TOPS, and with Microsoft's self-imposed guidelines of what constitutes an 'AI PC' coming in at 40 TOPS, Intel's NPU fits the bill.</p>
<p>Intel also alludes to how they are gaining a load of TOPS performance from the NPU, whether that be with new technologies; the NPU will likely be built in a more advanced node, perhaps Intel 18A. Another thing Intel didn't highlight was how they were measuring the TOPS performance, whether that be INT8 or INT4.</p>
<p>Still, one thing is clear: Intel wants to increase on-chip AI capabilities in desktop PCs and notebooks with each generation. Intel is also attempting to leverage more AI performance to help boost its goal to ship 100 million AI PCs by the end of 2025. Intel has already announced that it's shipped 5 million thus far and plans to sell another 40 million units by the end of the year.</p>
</p> CPUs){kind=link}
![](https://web.whatsapp.com/send?text=Intel Teases Lunar Lake At Intel Vision 2024: 100+ TOPS Overall, 45 TOPS From NPU Alone <p align="center"><a href="https://www.anandtech.com/show/21346/intel-teases-lunar-lake-at-intel-vision-2024-100-tops-overall-45-tops-from-npu-alone"><img src="https://images.anandtech.com/doci/21346/K9S4RdVcA8G6EvnE5Uib4A-970-80ss_575px.jpg" alt="" /></a></p><p><p>During the main keynote at Intel Vision 2024, Intel CEO Pat Gelsinger flashed a completed Lunar Lake chip off, much like EVP and General Manager of Intel's Client Computing Group (CCG) Michelle Johnston Holthaus did back at CES 2024. The contrast between the two glimpses of the Lunar Lake chip is that Pat Gelsinger gave us something juicier than just a photo op. He clarified and claimed the levels of AI performance we can expect to see when Lunar Lake launches.</p>
<p>According to Intel's CEO Pat Gelsinger, Lunar Lake, scheduled to be launched towards the end of this year, is set to raise the bar even further regarding on-chip AI capabilities and performance. At Intel's own Vision event, aptly named Intel Vision, current CEO of Intel Pat Gelsinger stated during his presentation that Lunar Lake will be the 'flagship SoC' for the next generation of AI PCs. Intel claims that Lunar Lake will have 3X the AI performance of their current Meteor Lake SoC, which is impressive as Meteor Lake is estimated to be running around 34 TOPS combined with the NPU, GPU, and CPU.</p>
<p align="center"><a href="https://www.anandtech.com/show/21346/intel-teases-lunar-lake-at-intel-vision-2024-100-tops-overall-45-tops-from-npu-alone"><img alt="" src="https://images.anandtech.com/doci/21346/GKvk0HjaAAA0jp7dd_575px.jpg" /></a></p>
<p>Factoring in the NPU within Meteor Lake, 11 of the 34 TOPS come solely from the NPU. Still, Intel claims that the NPU on Lunar Lake will hit a large 45 TOPs, akin to the Hailo-10 add-in card and similar to Qualcomm's Snapdragon X Elite processor. Factoring in the integrated graphics and the compute cores, Intel is claiming a combined total of over 100 TOPS, and with Microsoft's self-imposed guidelines of what constitutes an 'AI PC' coming in at 40 TOPS, Intel's NPU fits the bill.</p>
<p>Intel also alludes to how they are gaining a load of TOPS performance from the NPU, whether that be with new technologies; the NPU will likely be built in a more advanced node, perhaps Intel 18A. Another thing Intel didn't highlight was how they were measuring the TOPS performance, whether that be INT8 or INT4.</p>
<p>Still, one thing is clear: Intel wants to increase on-chip AI capabilities in desktop PCs and notebooks with each generation. Intel is also attempting to leverage more AI performance to help boost its goal to ship 100 million AI PCs by the end of 2025. Intel has already announced that it's shipped 5 million thus far and plans to sell another 40 million units by the end of the year.</p>
</p> CPUs | https://compbuddey.blogspot.com/2024/04/intel-teases-lunar-lake-at-intel-vision_4.html){kind=link}
![](mailto:?subject=Intel Teases Lunar Lake At Intel Vision 2024: 100+ TOPS Overall, 45 TOPS From NPU Alone <p align="center"><a href="https://www.anandtech.com/show/21346/intel-teases-lunar-lake-at-intel-vision-2024-100-tops-overall-45-tops-from-npu-alone"><img src="https://images.anandtech.com/doci/21346/K9S4RdVcA8G6EvnE5Uib4A-970-80ss_575px.jpg" alt="" /></a></p><p><p>During the main keynote at Intel Vision 2024, Intel CEO Pat Gelsinger flashed a completed Lunar Lake chip off, much like EVP and General Manager of Intel's Client Computing Group (CCG) Michelle Johnston Holthaus did back at CES 2024. The contrast between the two glimpses of the Lunar Lake chip is that Pat Gelsinger gave us something juicier than just a photo op. He clarified and claimed the levels of AI performance we can expect to see when Lunar Lake launches.</p>
<p>According to Intel's CEO Pat Gelsinger, Lunar Lake, scheduled to be launched towards the end of this year, is set to raise the bar even further regarding on-chip AI capabilities and performance. At Intel's own Vision event, aptly named Intel Vision, current CEO of Intel Pat Gelsinger stated during his presentation that Lunar Lake will be the 'flagship SoC' for the next generation of AI PCs. Intel claims that Lunar Lake will have 3X the AI performance of their current Meteor Lake SoC, which is impressive as Meteor Lake is estimated to be running around 34 TOPS combined with the NPU, GPU, and CPU.</p>
<p align="center"><a href="https://www.anandtech.com/show/21346/intel-teases-lunar-lake-at-intel-vision-2024-100-tops-overall-45-tops-from-npu-alone"><img alt="" src="https://images.anandtech.com/doci/21346/GKvk0HjaAAA0jp7dd_575px.jpg" /></a></p>
<p>Factoring in the NPU within Meteor Lake, 11 of the 34 TOPS come solely from the NPU. Still, Intel claims that the NPU on Lunar Lake will hit a large 45 TOPs, akin to the Hailo-10 add-in card and similar to Qualcomm's Snapdragon X Elite processor. Factoring in the integrated graphics and the compute cores, Intel is claiming a combined total of over 100 TOPS, and with Microsoft's self-imposed guidelines of what constitutes an 'AI PC' coming in at 40 TOPS, Intel's NPU fits the bill.</p>
<p>Intel also alludes to how they are gaining a load of TOPS performance from the NPU, whether that be with new technologies; the NPU will likely be built in a more advanced node, perhaps Intel 18A. Another thing Intel didn't highlight was how they were measuring the TOPS performance, whether that be INT8 or INT4.</p>
<p>Still, one thing is clear: Intel wants to increase on-chip AI capabilities in desktop PCs and notebooks with each generation. Intel is also attempting to leverage more AI performance to help boost its goal to ship 100 million AI PCs by the end of 2025. Intel has already announced that it's shipped 5 million thus far and plans to sell another 40 million units by the end of the year.</p>
</p> CPUs&body=https://compbuddey.blogspot.com/2024/04/intel-teases-lunar-lake-at-intel-vision_4.html){kind=link}
At FMS 2024, Kioxia had a proof-of-concept demonstration of their proposed a new RAID offload methodology for enterprise SSDs. The impetus for this is quite clear: as SSDs get faster in each generation, RAID arrays have a major problem of maintaining (and scaling up) performance. Even in cases where the RAID operations are handled by a dedicated RAID card, a simple write request in, say, a RAID 5 array would involve two reads and two writes to different drives. In cases where there is no hardware acceleration, the data from the reads needs to travel all the way back to the CPU and main memory for further processing before the writes can be done.
Kioxia has proposed the use of the PCIe direct memory access feature along with the SSD controller's controller memory buffer (CMB) to avoid the movement of data up to the CPU and back. The required parity computation is done by an accelerator block resident within the SSD controller.
In Kioxia's PoC implementation, the DMA engine can access the entire host address space (including the peer SSD's BAR-mapped CMB), allowing it to receive and transfer data as required from neighboring SSDs on the bus. Kioxia noted that their offload PoC saw close to 50% reduction in CPU utilization and upwards of 90% reduction in system DRAM utilization compared to software RAID done on the CPU. The proposed offload scheme can also handle scrubbing operations without taking up the host CPU cycles for the parity computation task.
Kioxia has already taken steps to contribute these features to the NVM Express working group. If accepted, the proposed offload scheme will be part of a standard that could become widely available across multiple SSD vendors.
Storage
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Intel Sells Its Arm Shares, Reduces Stakes in Other Companies
Intel has divested its entire stake in Arm Holdings during the second quarter, raising approximately $147 million. Alongside this, Intel sold its stake in cybersecurity firm ZeroFox and reduced its holdings in Astera Labs, all as part of a broader effort to manage costs and recover cash amid significant financial challenges.
The sale of Intel's 1.18 million shares in Arm Holdings, as reported in a recent SEC filing, comes at a time when the company is struggling with substantial financial losses. Despite the $147 million generated from the sale, Intel reported a $120 million net loss on its equity investments for the quarter, which is a part of a larger $1.6 billion loss that Intel faced during this period.
In addition to selling its stake in Arm, Intel also exited its investment in ZeroFox and reduced its involvement with Astera Labs, a company known for developing connectivity platforms for enterprise hardware. These moves are in line with Intel's strategy to reduce costs and stabilize its financial position as it faces ongoing market challenges.
Despite the divestment, Intel's past investment in Arm was likely driven by strategic considerations. Arm Holdings is a significant force in the semiconductor industry, with its designs powering most mobile devices, and, for obvious reasons, Intel would like to address these. Intel and Arm are also collaborating on datacenter platforms tailored for Intel's 18A process technology. Additionally, Arm might view Intel as a potential licensee for its technologies and a valuable partner for other companies that license Arm's designs.
Intel's investment in Astera Labs was also a strategic one as the company probably wanted to secure steady supply of smart retimers, smart cable modems, and CXL memory controller, which are used in volumes in datacenters and Intel is certainly interested in selling as many datacenter CPUs as possible.
Intel's financial struggles were highlighted earlier this month when the company released a disappointing earnings report, which led to a 33% drop in its stock value, erasing billions of dollars of capitalization. To counter these difficulties, Intel announced plans to cut 15,000 jobs and implement other expense reductions. The company has also suspended its dividend, signaling the depth of its efforts to conserve cash and focus on recovery. When it comes to divestment of Arm stock, the need for immediate financial stabilization has presumably taken precedence, leading to the decision.
CPUs
Silicon Motion Demonstrates Flexible Data Placement on MonTitan Gen 5 Enterprise SSD Platform
At FMS 2024, the technological requirements from the storage and memory subsystem took center stage. Both SSD and controller vendors had various demonstrations touting their suitability for different stages of the AI data pipeline - ingestion, preparation, training, checkpointing, and inference. Vendors like Solidigm have different types of SSDs optimized for different stages of the pipeline. At the same time, controller vendors have taken advantage of one of the features introduced recently in the NVM Express standard - Flexible Data Placement (FDP).
FDP involves the host providing information / hints about the areas where the controller could place the incoming write data in order to reduce the write amplification. These hints are generated based on specific block sizes advertised by the device. The feature is completely backwards-compatible, with non-FDP hosts working just as before with FDP-enabled SSDs, and vice-versa.
Silicon Motion's MonTitan Gen 5 Enterprise SSD Platform was announced back in 2022. Since then, Silicon Motion has been touting the flexibility of the platform, allowing its customers to incorporate their own features as part of the customization process. This approach is common in the enterprise space, as we have seen with Marvell's Bravera SC5 SSD controller in the DapuStor SSDs and Microchip's Flashtec controllers in the Longsys FORESEE enterprise SSDs.
At FMS 2024, the company was demonstrating the advantages of flexible data placement by allowing a single QLC SSD based on their MonTitan platform to take part in different stages of the AI data pipeline while maintaining the required quality of service (minimum bandwidth) for each process. The company even has a trademarked name (PerformaShape) for the firmware feature in the controller that allows the isolation of different concurrent SSD accesses (from different stages in the AI data pipeline) to guarantee this QoS. Silicon Motion claims that this scheme will enable its customers to get the maximum write performance possible from QLC SSDs without negatively impacting the performance of other types of accesses.
Silicon Motion and Phison have market leadership in the client SSD controller market with similar approaches. However, their enterprise SSD controller marketing couldn't be more different. While Phison has gone in for a turnkey solution with their Gen 5 SSD platform (to the extent of not adopting the white label route for this generation, and instead opting to get the SSDs qualified with different cloud service providers themselves), Silicon Motion is opting for a different approach. The flexibility and customization possibilities can make platforms like the MonTitan appeal to flash array vendors.
Storage
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