Sabrent Rocket nano V2 External SSD Review: Phison U18 in a Solid Offering
Sabrent's lineup of internal and external SSDs is popular among enthusiasts. The primary reason is the company's tendency to be among the first to market with products based on the latest controllers, while also delivering an excellent value proposition. The company has a long-standing relationship with Phison and adopts its controllers for many of their products. The company's 2 GBps-class portable SSD - the Rocket nano V2 - is based on Phison's U18 native controller. Read on for a detailed look at the Rocket nano V2 External SSD, including an analysis of its performance consistency, power consumption, and thermal profile.
Storage
Posted by The Techinical Support
U.S. Signs $1.5B in CHIPS Act Agreements With Amkor and SKhynix for Chip Packaging Plants 
Under the CHIPS & Science Act, the U.S. government provided tens of billions of dollars in grants and loans to the world's leading maker of chips, such as Intel, Samsung, and TSMC, which will significantly expand the country's semiconductor production industry in the coming years. However, most chips are typically tested, assembled, and packaged in Asia, which has left the American supply chain incomplete. Addressing this last gap in the government's domestic chip production plans, these past couple of weeks the U.S. government signed memorandums of understanding worth about $1.5 billion with Amkor and SK hynix to support their efforts to build chip packaging facilities in the U.S.
Amkor to Build Advanced Packaging Facility with Apple in Mind
Amkor plans to build a $2 billion advanced packaging facility near Peoria, Arizona, to test and assemble chips produced by TSMC at its Fab 21 near Phoenix, Arizona. The company signed a MOU that offers $400 million in direct funding and access to $200 million in loans under the CHIPS & Science Act. In addition, the company plans to take advantage of a 25% investment tax credit on eligible capital expenditures.
Set to be strategically positioned near TSMC's upcoming Fab 21 complex in Arizona, Amkor's Peoria facility will occupy 55 acres and, when fully completed, will feature over 500,000 square feet (46,451 square meters) of cleanroom space, more than twice the size of Amkor's advanced packaging site in Vietnam. Although the company has not disclosed the exact capacity or the specific technologies the facility will support, it is expected to cater to a wide range of industries, including automotive, high-performance computing, and mobile technologies. This suggests the new plant will offer diverse packaging solutions, including traditional, 2.5D, and 3D technologies.
Amkor has collaborated extensively with Apple on the vision and initial setup of the Peoria facility, as Apple is slated to be the facility's first and largest customer, marking a significant commitment from the tech giant. This partnership highlights the importance of the new facility in reinforcing the U.S. semiconductor supply chain and positioning Amkor as a key partner for companies relying on TSMC's manufacturing capabilities. The project is expected to generate around 2,000 jobs and is scheduled to begin operations in 2027.
SK hynix to Build HBM4 in the U.S.
This week SK hynix also signed a preliminary agreement with the U.S. government to receive up to $450 million in direct funding and $500 million in loans to build an advanced memory packaging facility in West Lafayette, Indiana.
The proposed facility is scheduled to begin operations in 2028, which means that it will assemble HBM4 or HBM4E memory. Meanwhile, DRAM devices for high bandwidth memory (HBM) stacks will still be produced in South Korea. Nonetheless, packing finished HBM4/HBM4E in the U.S. and possibly integrating these memory modules with high-end processors is a big deal.
In addition to building its packaging plant, SK hynix plans to collaborate with Purdue University and other local research institutions to advance semiconductor technology and packaging innovations. This partnership is intended to bolster research and development in the region, positioning the facility as a hub for AI technology and skilled employment.
Semiconductors
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)
U.S. Signs $1.5B in CHIPS Act Agreements With Amkor and SKhynix for Chip Packaging Plants
Under the CHIPS & Science Act, the U.S. government provided tens of billions of dollars in grants and loans to the world's leading maker of chips, such as Intel, Samsung, and TSMC, which will significantly expand the country's semiconductor production industry in the coming years. However, most chips are typically tested, assembled, and packaged in Asia, which has left the American supply chain incomplete. Addressing this last gap in the government's domestic chip production plans, these past couple of weeks the U.S. government signed memorandums of understanding worth about $1.5 billion with Amkor and SK hynix to support their efforts to build chip packaging facilities in the U.S.
Amkor to Build Advanced Packaging Facility with Apple in Mind
Amkor plans to build a $2 billion advanced packaging facility near Peoria, Arizona, to test and assemble chips produced by TSMC at its Fab 21 near Phoenix, Arizona. The company signed a MOU that offers $400 million in direct funding and access to $200 million in loans under the CHIPS & Science Act. In addition, the company plans to take advantage of a 25% investment tax credit on eligible capital expenditures.
Set to be strategically positioned near TSMC's upcoming Fab 21 complex in Arizona, Amkor's Peoria facility will occupy 55 acres and, when fully completed, will feature over 500,000 square feet (46,451 square meters) of cleanroom space, more than twice the size of Amkor's advanced packaging site in Vietnam. Although the company has not disclosed the exact capacity or the specific technologies the facility will support, it is expected to cater to a wide range of industries, including automotive, high-performance computing, and mobile technologies. This suggests the new plant will offer diverse packaging solutions, including traditional, 2.5D, and 3D technologies.
Amkor has collaborated extensively with Apple on the vision and initial setup of the Peoria facility, as Apple is slated to be the facility's first and largest customer, marking a significant commitment from the tech giant. This partnership highlights the importance of the new facility in reinforcing the U.S. semiconductor supply chain and positioning Amkor as a key partner for companies relying on TSMC's manufacturing capabilities. The project is expected to generate around 2,000 jobs and is scheduled to begin operations in 2027.
SK hynix to Build HBM4 in the U.S.
This week SK hynix also signed a preliminary agreement with the U.S. government to receive up to $450 million in direct funding and $500 million in loans to build an advanced memory packaging facility in West Lafayette, Indiana.
The proposed facility is scheduled to begin operations in 2028, which means that it will assemble HBM4 or HBM4E memory. Meanwhile, DRAM devices for high bandwidth memory (HBM) stacks will still be produced in South Korea. Nonetheless, packing finished HBM4/HBM4E in the U.S. and possibly integrating these memory modules with high-end processors is a big deal.
In addition to building its packaging plant, SK hynix plans to collaborate with Purdue University and other local research institutions to advance semiconductor technology and packaging innovations. This partnership is intended to bolster research and development in the region, positioning the facility as a hub for AI technology and skilled employment.
Semiconductors
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)
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
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
![](https://twitter.com/share?url=https://compbuddey.blogspot.com/2025/01/sabrent-rocket-nano-v2-external-ssd_52.html&text=Sabrent Rocket nano V2 External SSD Review: Phison U18 in a Solid Offering <p align="center"><a href="https://www.anandtech.com/show/21539/sabrent-rocket-nano-v2-external-ssd-review-phison-u18-in-a-solid-offering"><img src="https://images.anandtech.com/doci/21539/carousel_575px.jpg" alt="" /></a></p><p><p>Sabrent's lineup of internal and external SSDs is popular among enthusiasts. The primary reason is the company's tendency to be among the first to market with products based on the latest controllers, while also delivering an excellent value proposition. The company has a long-standing relationship with Phison and adopts its controllers for many of their products. The company's 2 GBps-class portable SSD - the Rocket nano V2 - is based on Phison's U18 native controller. Read on for a detailed look at the Rocket nano V2 External SSD, including an analysis of its performance consistency, power consumption, and thermal profile.</p>
</p> Storage){kind=link}
![](https://www.pinterest.com/pin/create/button/?url=https://compbuddey.blogspot.com/2025/01/sabrent-rocket-nano-v2-external-ssd_52.html&media=https://lh3.googleusercontent.com/blogger_img_proxy/AEn0k_vIDk6IAQgIVsVH_SKaqCedqYnXbHJavOxO8l3jWrYxZOK4i3cUO5NMvRjT2IEUG3PqRxq2Pz36Yy10v32ZLjnqn4pg6hdzTdo1JlxZ7zZXQDFjGACUfY8yvLLJPJk&description=Sabrent Rocket nano V2 External SSD Review: Phison U18 in a Solid Offering <p align="center"><a href="https://www.anandtech.com/show/21539/sabrent-rocket-nano-v2-external-ssd-review-phison-u18-in-a-solid-offering"><img src="https://images.anandtech.com/doci/21539/carousel_575px.jpg" alt="" /></a></p><p><p>Sabrent's lineup of internal and external SSDs is popular among enthusiasts. The primary reason is the company's tendency to be among the first to market with products based on the latest controllers, while also delivering an excellent value proposition. The company has a long-standing relationship with Phison and adopts its controllers for many of their products. The company's 2 GBps-class portable SSD - the Rocket nano V2 - is based on Phison's U18 native controller. Read on for a detailed look at the Rocket nano V2 External SSD, including an analysis of its performance consistency, power consumption, and thermal profile.</p>
</p> Storage){kind=link}
![](https://web.whatsapp.com/send?text=Sabrent Rocket nano V2 External SSD Review: Phison U18 in a Solid Offering <p align="center"><a href="https://www.anandtech.com/show/21539/sabrent-rocket-nano-v2-external-ssd-review-phison-u18-in-a-solid-offering"><img src="https://images.anandtech.com/doci/21539/carousel_575px.jpg" alt="" /></a></p><p><p>Sabrent's lineup of internal and external SSDs is popular among enthusiasts. The primary reason is the company's tendency to be among the first to market with products based on the latest controllers, while also delivering an excellent value proposition. The company has a long-standing relationship with Phison and adopts its controllers for many of their products. The company's 2 GBps-class portable SSD - the Rocket nano V2 - is based on Phison's U18 native controller. Read on for a detailed look at the Rocket nano V2 External SSD, including an analysis of its performance consistency, power consumption, and thermal profile.</p>
</p> Storage | https://compbuddey.blogspot.com/2025/01/sabrent-rocket-nano-v2-external-ssd_52.html){kind=link}
![](mailto:?subject=Sabrent Rocket nano V2 External SSD Review: Phison U18 in a Solid Offering <p align="center"><a href="https://www.anandtech.com/show/21539/sabrent-rocket-nano-v2-external-ssd-review-phison-u18-in-a-solid-offering"><img src="https://images.anandtech.com/doci/21539/carousel_575px.jpg" alt="" /></a></p><p><p>Sabrent's lineup of internal and external SSDs is popular among enthusiasts. The primary reason is the company's tendency to be among the first to market with products based on the latest controllers, while also delivering an excellent value proposition. The company has a long-standing relationship with Phison and adopts its controllers for many of their products. The company's 2 GBps-class portable SSD - the Rocket nano V2 - is based on Phison's U18 native controller. Read on for a detailed look at the Rocket nano V2 External SSD, including an analysis of its performance consistency, power consumption, and thermal profile.</p>
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CXL Gathers Momentum at FMS 2024 
The CXL consortium has had a regular presence at FMS (which rechristened itself from 'Flash Memory Summit' to the 'Future of Memory and Storage' this year). Back at FMS 2022, the company had announced v3.0 of the CXL specifications. This was followed by CXL 3.1's introduction at Supercomputing 2023. Having started off as a host to device interconnect standard, it had slowly subsumed other competing standards such as OpenCAPI and Gen-Z. As a result, the specifications started to encompass a wide variety of use-cases by building a protocol on top of the the ubiquitous PCIe expansion bus. The CXL consortium comprises of heavyweights such as AMD and Intel, as well as a large number of startup companies attempting to play in different segments on the device side. At FMS 2024, CXL had a prime position in the booth demos of many vendors.
The migration of server platforms from DDR4 to DDR5, along with the rise of workloads demanding large RAM capacity (but not particularly sensitive to either memory bandwidth or latency), has opened up memory expansion modules as one of the first set of widely available CXL devices. Over the last couple of years, we have had product announcements from Samsung and Micron in this area.
SK hynix CMM-DDR5 CXL Memory Module and HMSDK
At FMS 2024, SK hynix was showing off their DDR5-based CMM-DDR5 CXL memory module with a 128 GB capacity. The company was also detailing their associated Heterogeneous Memory Software Development Kit (HMSDK) - a set of libraries and tools at both the kernel and user levels aimed at increasing the ease of use of CXL memory. This is achieved in part by considering the memory pyramid / hierarchy and relocating the data between the server's main memory (DRAM) and the CXL device based on usage frequency.
The CMM-DDR5 CXL memory module comes in the SDFF form-factor (E3.S 2T) with a PCIe 3.0 x8 host interface. The internal memory is based on 1α technology DRAM, and the device promises DDR5-class bandwidth and latency within a single NUMA hop. As these memory modules are meant to be used in datacenters and enterprises, the firmware includes features for RAS (reliability, availability, and serviceability) along with secure boot and other management features.
SK hynix was also demonstrating Niagara 2.0 - a hardware solution (currently based on FPGAs) to enable memory pooling and sharing - i.e, connecting multiple CXL memories to allow different hosts (CPUs and GPUs) to optimally share their capacity. The previous version only allowed capacity sharing, but the latest version enables sharing of data also. SK hynix had presented these solutions at the CXL DevCon 2024 earlier this year, but some progress seems to have been made in finalizing the specifications of the CMM-DDR5 at FMS 2024.
Microchip and Micron Demonstrate CZ120 CXL Memory Expansion Module
Micron had unveiled the CZ120 CXL Memory Expansion Module last year based on the Microchip SMC 2000 series CXL memory controller. At FMS 2024, Micron and Microchip had a demonstration of the module on a Granite Rapids server.
Additional insights into the SMC 2000 controller were also provided.
The CXL memory controller also incorporates DRAM die failure handling, and Microchip also provides diagnostics and debug tools to analyze failed modules. The memory controller also supports ECC, which forms part of the enterprise... Storage
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
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U.S. Signs $1.5B in CHIPS Act Agreements With Amkor and SKhynix for Chip Packaging Plants
Under the CHIPS & Science Act, the U.S. government provided tens of billions of dollars in grants and loans to the world's leading maker of chips, such as Intel, Samsung, and TSMC, which will significantly expand the country's semiconductor production industry in the coming years. However, most chips are typically tested, assembled, and packaged in Asia, which has left the American supply chain incomplete. Addressing this last gap in the government's domestic chip production plans, these past couple of weeks the U.S. government signed memorandums of understanding worth about $1.5 billion with Amkor and SK hynix to support their efforts to build chip packaging facilities in the U.S.
Amkor to Build Advanced Packaging Facility with Apple in Mind
Amkor plans to build a $2 billion advanced packaging facility near Peoria, Arizona, to test and assemble chips produced by TSMC at its Fab 21 near Phoenix, Arizona. The company signed a MOU that offers $400 million in direct funding and access to $200 million in loans under the CHIPS & Science Act. In addition, the company plans to take advantage of a 25% investment tax credit on eligible capital expenditures.
Set to be strategically positioned near TSMC's upcoming Fab 21 complex in Arizona, Amkor's Peoria facility will occupy 55 acres and, when fully completed, will feature over 500,000 square feet (46,451 square meters) of cleanroom space, more than twice the size of Amkor's advanced packaging site in Vietnam. Although the company has not disclosed the exact capacity or the specific technologies the facility will support, it is expected to cater to a wide range of industries, including automotive, high-performance computing, and mobile technologies. This suggests the new plant will offer diverse packaging solutions, including traditional, 2.5D, and 3D technologies.
Amkor has collaborated extensively with Apple on the vision and initial setup of the Peoria facility, as Apple is slated to be the facility's first and largest customer, marking a significant commitment from the tech giant. This partnership highlights the importance of the new facility in reinforcing the U.S. semiconductor supply chain and positioning Amkor as a key partner for companies relying on TSMC's manufacturing capabilities. The project is expected to generate around 2,000 jobs and is scheduled to begin operations in 2027.
SK hynix to Build HBM4 in the U.S.
This week SK hynix also signed a preliminary agreement with the U.S. government to receive up to $450 million in direct funding and $500 million in loans to build an advanced memory packaging facility in West Lafayette, Indiana.
The proposed facility is scheduled to begin operations in 2028, which means that it will assemble HBM4 or HBM4E memory. Meanwhile, DRAM devices for high bandwidth memory (HBM) stacks will still be produced in South Korea. Nonetheless, packing finished HBM4/HBM4E in the U.S. and possibly integrating these memory modules with high-end processors is a big deal.
In addition to building its packaging plant, SK hynix plans to collaborate with Purdue University and other local research institutions to advance semiconductor technology and packaging innovations. This partnership is intended to bolster research and development in the region, positioning the facility as a hub for AI technology and skilled employment.
Semiconductors
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