Qualcomm Snapdragon X is out to change the thin-and-light notebook market, and is out to eat the lunches of U-segment and possibly P-segment processors from Intel and AMD. The Arm based processor promises to be a competitor to Apple's M2 and M2 Max SoCs powering the latest generation of Macbooks, so Windows 11 and Chrome OS-based thin-and-lights could offer similar levels of performance and battery life. Geekerwan put the Adreno iGPU of the Snapdragon X Elite through a couple of benchmarks to show how they compare to the iGPUs of contemporary 15 W to 28 W class SoCs across Arm and x64 machine architectures, and a discrete NVIDIA GeForce RTX 3050 Laptop GPU.

In the 3DMark Wildlife Extreme benchmark, designed for graphics solutions of this class, the Snapdragon X Elite scored 39.2 FPS (average), compared to 60 FPS of the Apple M2 Max, 40 FPS of the Apple M2. The Core i7-13700H "Raptor Lake" is a 45 W mobile processor with an Intel Xe-LP based iGPU that has 96 EU. This chip scored just 22.5 FPS in this test. The surprise here is the Radeon 780M, the iGPU of the AMD Ryzen 7 7840HS, based on the latest RDNA3 architecture, with 12 compute units (768 stream processors). This chip did just 28 FPS, falling behind even the M2. The other benchmark is "Control" at 1080p with its lowest graphics settings, and here the results are fundamentally different. With "Control," we see the Snapdragon X Elite post a respectable 53 FPS, which is almost as fast as the 56 FPS by the Radeon 780M powering the Ryzen 7 7740HS, but ahead of the 43 FPS put by the Apple M2, and a whopping 145 FPS by the M2 Max.

During the Q3 2023 earnings call, Intel CEO Pat Gelsinger was answering some questions from analysts regarding the company's future and its position on emerging competition. One of the most significant problems the company could face is the potential Arm-based chip development not coming from x86 vendors like Intel and AMD. Instead, there could be fierce competition in the near future with the recently announced Qualcomm Snapdragon Elite X, possible NVIDIA Arm-based PC processor, and in the future, even more Arm CPU providers that Intel would have to compete against in the client segment. During the call, Pat Gelsinger noted that "Arm and Windows client alternatives, generally, they've been relegated to pretty insignificant roles in the PC business. And we take all competition seriously. But I think history as our guide here, we don't see these potentially being all that significant overall. Our momentum is strong. We have a strong roadmap."

Additionally, the CEO noted: "When thinking about other alternative architectures like Arm, we also say, wow, what a great opportunity for our foundry business." If the adoption of Arm-based CPUs for Windows PCs becomes more present, Intel plans to compete with its next-generation x86 offerings like Meteor Lake, Arrow Lake, Lunar Lake, and even Panther Lake in the future. As stated, the CEO expects the competition to manufacture its chips at Intel's foundries so that Intel can provide a platform for these companies to serve the PC ecosystem.

According to sources close to Reuters, NVIDIA is reportedly developing its custom CPUs based on Arm instruction set architecture (ISA), specifically tailored for the client ecosystem, also known as PC. NVIDIA has already developed an Arm-based CPU codenamed Grace, which is designed to handle server and HPC workloads in combination with the company's Hopper GPU. However, as we learn today, NVIDIA also wants to provide CPUs for PC users and to power Microsoft's Windows operating system. The push for more vendors of Arm-based CPUs is also supported by Microsoft, which is losing PC market share to Apple and its M-series of processors.

The creation of custom processors for PCs that Arm ISA would power makes the decades of x86-based applications either obsolete or in need of recompilation. Apple allows users to emulate x86 applications using the x86-to-Arm translation layer, and even Microsoft allows it for Windows-on-Arm devices. We are left to see how NVIDIA's solution would compete in the entire market of PC processors, which are expected to arrive in 2025. Still, the company could make some compelling solutions given its incredible silicon engineering history and performant Arm design like Grace. With the upcoming Arm-based processors hitting the market, we expect the Windows-on-Arm ecosystem to thrive and get massive investment from independent software vendors.

Phytium, a Chinese semiconductor company that faced U.S. government sanctions from 2021, has introduced its latest data center processor, the 64-core Feiteng Tengyun S2500. Designed for cloud and high-performance computing applications, this processor features a large-capacity shared L3 cache, enhanced security capabilities for cloud servers, and improved memory subsystem reliability. The Feiteng Tengyun S2500 features 64 FTC661 cores developed by Phytium, which are based on Armv8 ISA. Reportedly, the CPU features 64 MB of L3 cache and 512 KB of L2 per core, bringing the total to 96 MB of processor cache. Compared to the previous generation line, the S2500 brings an L3 cache and TDP of 150 Watts, up from 90 Watts of previous generation.

This is Phytium's first new CPU in several years, raising questions about its production capacity and access to foundries, given its sanctions-related restrictions. It is currently unknown which foundry will manufacture the Feiteng Tengyun S2500, and we expect to hear more about it as (if) units get shipped. So far only display units have made appearance. Nonetheless, the company has continued its hardware development efforts and garnered interest in collaborating with Huawei to unify hardware and software ecosystems, which has yet to come to fruition.

Realizing the full potential of next-generation deep learning requires highly efficient AI infrastructure. For a computing platform to be scalable and cost efficient, optimizing every layer of the AI stack, from algorithms to hardware, is essential. Advances in narrow-precision AI data formats and associated optimized algorithms have been pivotal to this journey, allowing the industry to transition from traditional 32-bit floating point precision to presently only 8 bits of precision (i.e. OCP FP8).

Narrower formats allow silicon to execute more efficient AI calculations per clock cycle, which accelerates model training and inference times. AI models take up less space, which means they require fewer data fetches from memory, and can run with better performance and efficiency. Additionally, fewer bit transfers reduces data movement over the interconnect, which can enhance application performance or cut network costs.

Socionext today announced a collaboration with Arm and TSMC for the development of an innovative power-optimized 32-core CPU chiplet in TSMCʼs 2 nm silicon technology, delivering scalable performance for hyperscale data center server, 5/6G infrastructure, DPU and edge-of- network markets.

The engineering samples are targeted to be available in 1H2025. This advanced CPU chiplet proof-of-concept using Arm Neoverse CSS technology is designed for single or multiple instantiations within a single package, along with IO and application-specific custom chiplets to optimize performance for a variety of end applications.

The drawn out merger talks between Kioxia and Western Digital's memory and NAND flash manufacturing businesses appears to have hit an unexpected bump on the road, in the shape of SK Hynix according to the Nikkei. As it happens, SK Hynix holds an indirect stake in Kioxia and as such, they need to approve the merger for it to be able to happen. Today, SK Hynix is the second biggest manufacturer of NAND flash, somewhat behind Samsung, but if the Kioxia WD merger were to take place, SK Hynix would be pushed into a third place in the market, which wouldn't benefit the company.

As such, SK Hynix is trying to push for a rather odd option for Kioxia, where SK Hynix wants Japanese SoftBank—who owns among other things, Arm—to step in as a partner with Kioxia. However, what SK Hynix seems to have forgotten is that WD's memory chips are made in the same fab as Kioxia's and it's highly unlikely that WD would be keen on seeing this last minute proposal by SK Hynix play out. The Kioxia WD merger would result in a new company where Kioxia would own 63 percent and WD 37 percent, based on current assets. However, WD is meant to add further capital to the merger, so it can get a 50.1 percent stake in the final company for its shareholders, with Kioxia ending up with 49.9 percent.

Synopsys today announced it has expanded its collaboration with Arm to provide optimized IP and EDA solutions for the newest Arm technology, including the Arm Neoverse V2 platform and Arm Neoverse Compute Subsystem (CSS). Synopsys has joined Arm Total Design where Synopsys will leverage their deep design expertise, the Synopsys.ai full-stack AI-driven EDA suite, and Synopsys Interface, Security, and Silicon Lifecycle Management IP to help mutual customers speed development of their Arm-based CSS solutions. The expanded partnership builds on three decades of collaboration to enable mutual customers to quickly develop specialized silicon at lower cost, with less risk and faster time to market.

"With Arm Total Design, our aim is to enable rapid innovation on Arm Neoverse CSS and engage critical ecosystem expertise at every stage of SoC development," said Mohamed Awad, senior vice president and general manager, Infrastructure Line of Business at Arm. "Our deep technical collaboration with Synopsys to deliver pre-integrated and validated IP and EDA tools will help our mutual customers address the industry's most complex computing challenges with specialized compute."

GIGABYTE Technology, Giga Computing, a subsidiary of GIGABYTE and an industry leader in high-performance servers, server motherboards, and workstations, today announced four new GIGABYTE R-series servers for AmpereOne Family of processors for cloud-native computing where high compute density per rack and power-efficiency matter.

For cloud-native computing, hyperscalers or cloud service providers (CSPs) rely on predictable high-performance, scalable infrastructure, and power efficient nodes. GIGABYTE servers running the AmpereOne Family platform achieve those expectations, but this is not the first time GIGABYTE has worked with Ampere Computing. The partnership first started in 2020 with the launch of the Ampere Altra platform. And this new family of AmpereOne processors will not supersede the Altra platform, rather it is an extension of what Arm architecture is capable of by Ampere Computing. For instance, the CPU core count goes beyond 128 cores in Altra to 136-192 cores in AmpereOne for new levels of performance and VM density. On top of that, the private L2 cache per core has doubled and there is support for DDR5 memory and PCIe Gen 5.

Ever since the creation of A64FX for the Fugaku supercomputer, Fujitsu has been plotting the development of next-generation CPU design for accelerating AI and general-purpose HPC workloads in the data center. Codenamed Monaka, the CPU is the latest creation for TSMC's 2 nm semiconductor manufacturing node. Based on Armv9-A ISA, the CPU will feature up to 150 cores with Scalable Vector Extensions 2 (SVE2), so it can process a wide variety of vector data sets in parallel. Using a 3D chiplet design, the 150 cores will be split into different dies and placed alongside SRAM and I/O controller. The current width of the SVE2 implementation is unknown.

The CPU is designed to support DDR5 memory and PCIe 6.0 connection for attaching storage and other accelerators. To bring cache coherency among application-specific accelerators, CXL 3.0 is present as well. Interestingly, Monaka is planned to arrive in FY2027, which starts in 2026 on January 1st. The CPU will supposedly use air cooling, meaning the design aims for power efficiency. Additionally, it is essential to note that Monaka is not a processor that will power the post-Fugaku supercomputer. The post-Fugaku supercomputer will use post-Monaka design, likely iterating on the design principles that Monaka uses and refining them for the launch of the post-Fugaku supercomputer scheduled for 2030. Below are the slides from Fujitsu's presentation, in Japenese, which highlight the design goals of the CPU.

Qualcomm is poised to significantly rebrand its PC chip lineup as it transitions from the existing 8cx series to the Snapdragon X Series, designed to differentiate its PC chips from Snapdragon processors in mobile devices. The new Snapdragon X Series will incorporate Qualcomm's Oryon CPU SKU, based on Nuvia's IP and praised for its advanced performance and power efficiency. In addition to the new CPU core, Qualcomm also plans to use a dedicated NPU for accelerating on-device AI applications. However, questions remain regarding the reactions of hardware partners, particularly in response to Qualcomm's request for proprietary power management integrated circuits (PMICs) to be used alongside Oryon SoCs.

This strategic rebranding also entails new logos and badges for the system, symbolizing the shift in the product lineup, and the company plans to introduce a simplified tiering structure for its PC ecosystem. Qualcomm currently holds a dominant position as an Arm-based SoC manufacturer for Windows-on-Arm devices. With this rebranding, Qualcomm hopes to position itself competitively in performance and in marketing as well, with established PC chip providers like AMD and Intel, potentially expanding Arm's market share in the PC industry. Further insights and details regarding the Snapdragon X Series will be revealed during the forthcoming Snapdragon Summit, scheduled from October 24 to 26.

It has been over four years since the release of the Raspberry Pi 4, and in that time a lot has changed in the maker board and single-board computer landscape. For the Raspberry Pi Foundation there were struggles with worldwide demand and production capacity brought on by the global pandemic starting in 2020, and plenty of new competitors came to the scene to offer ready to order alternatives to the venerable RPi 4. Today however the production woes have been assuaged and a new generation of Raspberry Pi is here; the Raspberry Pi 5.

Raspberry Pi 5 is being announced in advance of availability unlike every prior RPi device launch. Pre-orders are open with many of the listed Approved Resellers on RPi's website starting today but unit shipments aren't expected until near the end of October 2023. As part of this pre-order scheme, RPi Foundation is withholding pre-orders from bulk customers and will be dealing in single-unit sales for individuals until at least the end of the year, as well as running some promotions with The MagPi and HackSpace magazines to give priority access to their subscribers. Genuinely nice to see, considering how hard it was to obtain a Pi 4 for the average Joe over the last couple years. The two announced prices for the RPi 5 are $60 USD for the 4 GB variant, and $80 USD for the 8 GB variant; or about $5 USD more than current reseller pricing on comparable configurations of the Raspberry Pi 4.

Taiwan Semiconductor Manufacturing Company (TSMC) yesterday made the announcement that it has approved an investment in Arm Holdings Plc. The market leader in contract chipmaker is prepared to spend around $100 million, upon the UK-headquartered semiconductor design firm going public. Regulatory filing information has SoftBank Group aiming to raise about $4.87 billion with its initial public offering (IPO) of Arm. The listing has, so far, attracted a number of "cornerstone investors" including NVIDIA, Intel, AMD, Apple, Samsung Electronics and Alphabet.

Mark Liu, TSMC's chairman, stated last week that "Arm is an important element of our ecosystem, our technology and our customers' ecosystem. We want it to be successful, we want it to be healthy. That's the bottom line." The spending spree announcements also extended to something Team Blue related—TSMC declared that it has reached an agreement with Intel to purchase a 10% equity interest in IMS Nanofabrication Global, LLC. This deal is valued at roughly $432.8 million. Intel has already sold 20% of IMS to Bain Capital, but it still retains majority ownership—the two business deals valued IMS Nanofabrication at approximately $4.3 billion, according to an Intel statement.

British semiconductor specialist firm, Arm Ltd., has has confirmed that it will be offering its clients the option to license "SoC solutions," as opposed to the usual model of paying for intellectual properties. A new Bloomberg article reaffirms previous claims that Arm's engineering department was beavering away on reference chip designs. An IPO filing, registered with the SEC, reveals that various system-on-chip designs are in the pipeline—likely targeting fast-growing tech markets.

An Arm statement explained: "More recently, we have invested in a holistic, solution-focused approach to design, expanding beyond individual design IP elements to providing a more complete system. By delivering SoC solutions optimized for specific use cases, we can ensure that the entire system works together seamlessly to provide maximum performance and efficiency. At the same time, by designing an increasingly greater portion of the overall chip design, we are further reducing incremental development investment and risk borne by our customers while also enabling us to capture more value per device." Arm is probably keen to boost its profit margins, and become more attractive in the eyes of potential investors—lately their designs have been implemented in more expensive product segments, namely automotive, client PCs, and cloud data center solutions.

We heard rumblings about Intel considering a stake in Arm earlier this summer—Reuters picked up on the multinational corporation's leadership negotiating with Japan's SoftBank about becoming a potential anchor investor in the latter's initial public offering (IPO) of Arm Holdings plc. Several big players have reportedly been courted as key strategic partners—Arm already counts some of these corporations as major clients and business partners. The looming IPO has an estimated value of around $60 billion and $70 billion. Intel has made their investment public today, as announced this morning by Stuart Pann, Senior Vice President and General Manager of Foundry Services.

Pann elaborated on his company's major strategic decision, during proceedings at the Goldman Sachs Communacopia & Technology Conference: "80% of TSMC wafers have an Arm processor in them...The fact that our organization, the IFS organization, is embracing Arm at this level, investing in Arm, doing partnerships with Arm should give you a signpost that we are absolutely serious about playing this business. Because if you are not working with Arm, you cannot be a foundries provider." Despite competing in several market segements, Intel Foundry Services (IFS) and Arm announced a multi-generation agreement, earlier this year, to enable chip designers to build low-power compute system-on-chips (SoCs) on the former's 18A process. The now tighter relationship appears to be steering Team Blue back to formerly abandoned pastures—Pann stated: "Our focus will be for now, much more on ARM and around RISC-V, because that is where the volumes is at, but expect more to come out in the coming months...For example, we announced something with Arm, we will do more with them, clearly as they expand their base. They have multiple interests in multiple areas, and they have been a superb partner."

Maxon, developers of professional software solutions for editors, filmmakers, motion designers, visual effects artists and creators of all types, is thrilled to announce the highly anticipated release of Cinebench 2024. This latest iteration of the industry-standard benchmarking software, which has been a cornerstone in computer performance evaluation for two decades, sets a new standard for performance evaluation, embracing cutting-edge technology to provide artists, designers, and creators with a more accurate and relevant representation of their hardware capabilities.

Redshift Rendering Engine Integration
Cinebench 2024 ushers in a new era by embracing the power of Redshift, Cinema 4D's default rendering engine. Unlike its predecessors, which utilized Cinema 4D's standard renderer, Cinebench 2024 utilizes the same render algorithms across both CPU and GPU implementations. This leap to the Redshift engine ensures that performance testing aligns seamlessly with the demands of modern creative workflows, delivering accurate and consistent results.

Arm's impending IPO, valued between $60 billion and $70 billion, has reportedly garnered substantial backing from industry giants such as Apple, NVIDIA, Intel, and Samsung, as per sources cited in a Bloomberg report. This much-anticipated public offering serves as a litmus test for investor interest in new chip-related stocks and could reshape the tech industry landscape. While the information remains unofficial, it underscores the significant support Arm has received from major licensees, including Apple, AMD, Cadence, Intel, Google, NVIDIA, Samsung, and Synopsys, with each potentially contributing between $25 million and $100 million, a testament to their confidence in Arm's future prospects. Originally, SoftBank aimed to raise $8 billion to $10 billion through the IPO, but a strategic shift to retain a larger Arm stake revised the target to $5 billion to $7 billion.

This IPO's success holds paramount importance for SoftBank and its CEO, Masayoshi Son, particularly following the Vision Fund's substantial $30 billion loss in the previous fiscal year. Masayoshi Son is reportedly committed to maintaining significant control over Arm, planning to release no more than 10% of the company's shares during this initial phase, aligning with SoftBank's recent acquisition of the Vision Fund's Arm stake and reinforcing their belief in Arm's long-term potential. Arm has enlisted renowned global financial institutions such as Barclays, Goldman Sachs Group, JPMorgan Chase & Co., and Mizuho Financial Group to prepare for the IPO, highlighting the widespread interest in the offering and the anticipated benefits for these financial institutions.

Ampere Computing, known for its Altra (Max) and upcoming AmpereOne families of AArch64 server processors tailored for data centers, has released a guide for enthusiasts on running Steam for Linux on these ARM64 processors. This includes using Steam Play (Proton) to play Windows games on these Linux-powered servers. Over the summer, Ampere Computing introduced a GitHub repository detailing the process of running Steam for Linux on their AArch64 platforms, including Steam Play/Proton. While the guide is primarily designed for Ampere Altra/Altra Max and AmpereOne hardware, it can be adapted for other 64-bit Arm platforms. However, a powerful processor is essential to appreciate the gaming experience truly. Additionally, for the 3D OpenGL/Vulkan graphics to function optimally, an Ampere workstation system is more suitable than a headless server.

The guide recommends the Ampere Altra Developer platform paired with an NVIDIA RTX A6000 series graphics card, which supports AArch64 proprietary drivers. The guide uses Box86 and Box64 to run Steam x86 binaries and other x86/x86-64 games for emulation. While there are other options like FEX-Emu and Hangover to enhance the Linux binary experience on AArch64, Box86/Box64 is the preferred choice for gaming on Ampere workstations, as indicated by its mention in Ampere Computing's Once the AArch64 Linux graphics drivers are accelerated and Box86/Box64 emulation is set up, users can install Steam for Linux. By activating Proton within Steam, it becomes feasible to play Windows-exclusive x86/x86-64 games on Ampere AArch64 workstations or server processors. However, the guide doesn't provide insights into the performance of such a configuration.

NVIDIA's latest financial report for FY2Q24 reveals that its data center business reached US$10.32 billion—a QoQ growth of 141% and YoY increase of 171%. The company remains optimistic about its future growth. TrendForce believes that the primary driver behind NVIDIA's robust revenue growth stems from its data center's AI server-related solutions. Key products include AI-accelerated GPUs and AI server HGX reference architecture, which serve as the foundational AI infrastructure for large data centers.

TrendForce further anticipates that NVIDIA will integrate its software and hardware resources. Utilizing a refined approach, NVIDIA will align its high-end, mid-tier, and entry-level GPU AI accelerator chips with various ODMs and OEMs, establishing a collaborative system certification model. Beyond accelerating the deployment of CSP cloud AI server infrastructures, NVIDIA is also partnering with entities like VMware on solutions including the Private AI Foundation. This strategy extends NVIDIA's reach into the edge enterprise AI server market, underpinning steady growth in its data center business for the next two years.

Tachyum today announced that new EDA tools, utilized during the physical design phase of the Prodigy Universal Processor, have allowed the company to achieve significantly better results with chip specifications than previously anticipated, after the successful change in physical design tools - including an increase in the number of Prodigy cores to 192.

After RTL design coding, Tachyum began work on completing the physical design (the actual placement of transistors and wires) for Prodigy. After the Prodigy design team had to replace IPs, it also had to replace RTL simulation and physical design tools. Armed with a new set of EDA tools, Tachyum was able to optimize settings and options that increased the number of cores by 50 percent, and SERDES from 64 to 96 on each chip. Die size grew minimally, from 500mm2 to 600mm2 to accommodate improved physical capabilities. While Tachyum could add more of its very efficient cores and still fit into the 858mm2 reticle limit, these cores would be memory bandwidth limited, even with 16 DDR5 controllers running in excess of 7200MT/s. Tachyum cores have much higher performance than any other processor cores.

QNAP Systems, Inc., a leading computing, networking and storage solution innovator, today unveiled the new-generation AI NAS TS-AI642. Adopting an ARM 8-core processor with 6 TOPS NPU, the TS-AI642 is perfect for AI image recognition and smart surveillance applications. Achieving both high performance and power-efficiency with 2.5 GbE connectivity, 10GbE expandability via PCIe and dual 4K HDMI output, the TS-AI642 fulfills the image storage, backup, and video surveillance demands of SMBs.

"According to professional technology media and global technology firms, 2023 is the year of Edge AI. Research shows that companies and organizations are leveraging more efficient and budget-friendly Edge AI solutions due to the market and economic uncertainty." said Jerry Deng, Product Manager of QNAP. "The QNAP TS-AI642 is the first ARM-based AI NAS on the market. Incorporating NPU for boosting AI image recognition performance with a low power design, the TS-AI642 is a cost-optimized entry-level ARM-based AI image storage and Surveillance NAS for SMBs."

NVIDIA today announced the next-generation NVIDIA GH200 Grace Hopper platform - based on a new Grace Hopper Superchip with the world's first HBM3e processor - built for the era of accelerated computing and generative AI. Created to handle the world's most complex generative AI workloads, spanning large language models, recommender systems and vector databases, the new platform will be available in a wide range of configurations. The dual configuration - which delivers up to 3.5x more memory capacity and 3x more bandwidth than the current generation offering - comprises a single server with 144 Arm Neoverse cores, eight petaflops of AI performance and 282 GB of the latest HBM3e memory technology.

"To meet surging demand for generative AI, data centers require accelerated computing platforms with specialized needs," said Jensen Huang, founder and CEO of NVIDIA. "The new GH200 Grace Hopper Superchip platform delivers this with exceptional memory technology and bandwidth to improve throughput, the ability to connect GPUs to aggregate performance without compromise, and a server design that can be easily deployed across the entire data center."

ASUS IoT, the leading global AIoT solution provider, today announced Tinker Board 3N series, a versatile, Arm -based single-board computer (SBC) that empowers easy system integration, broad adaptability and superb expandability - elevating it to the perfect choice for the emerging Industrial Internet of Things (IIoT) era.

The NUC-sized SBC series is equipped with rich I/O and supports Linux Debian, Yocto, and Android operating systems, presenting an all-new premium option for developers and system integrators' diverse IIoT projects. Its optimized thermal design simplifies deployment of embedded applications, ensuring efficient operation in demanding environments. With its durable and reliable design, Tinker Board 3N offers enhanced computing performance, low power consumption and a wide range of interfaces, so it's primed and ready for smart manufacturing applications powering the IoT revolution.

The escalating challenges in acquiring high-performance x86 servers have prompted Chinese data center companies to accelerate the shift to Arm-based system-on-chips (SoCs). Investment banking firm Bernstein reports that approximately 40% of all Arm-powered servers globally are currently being used in China. While most servers operate on x86 processors from AMD and Intel, there's a growing preference for Arm-based SoCs, especially in the Chinese market. Several global tech giants, including AWS, Ampere, Google, Fujitsu, Microsoft, and Nvidia, have already adopted or developed Arm-powered SoCs. However, Arm-based SoCs are increasingly favorable for Chinese firms, given the difficulty in consistently sourcing Intel's Xeon or AMD's EPYC. Chinese companies like Alibaba, Huawei, and Phytium are pioneering the development of these Arm-based SoCs for client and data center processors.

However, the US government's restrictions present some challenges. Both Huawei and Phytium, blacklisted by the US, cannot access TSMC's cutting-edge process technologies, limiting their ability to produce competitive processors. Although Alibaba's T-Head can leverage TSMC's latest innovations, it can't license Arm's high-performance computing Neoverse V-series CPU cores due to various export control rules. Despite these challenges, many chip designers are considering alternatives such as RISC-V, an unrestricted, rapidly evolving open-source instruction set architecture (ISA) suitable for designing highly customized general-purpose cores for specific workloads. Still, with the backing of influential firms like AWS, Google, Nvidia, Microsoft, Qualcomm, and Samsung, the Armv8 and Armv9 instruction set architectures continue to hold an edge over RISC-V. These companies' support ensures that the software ecosystem remains compatible with their CPUs, which will likely continue to drive the adoption of Arm in the data center space.

Make health and fitness journeys smoother with the Exynos W930—the wearable processor that keeps smartwatches ahead of the curve, with new leaps in performance and power saving.

Watch it work wonders
Exynos W930 is equipped with the Arm Cortex-A55 dual-core CPU, boosting CPU speed to 1.4 GHz for an 18% jump over our last generation processor. In-package DRAM expands to 2 GB in the Exynos W930, passing the last generation by 33%, so you can switch between apps up to 25% faster and manage your workouts and your work life better with a suite of apps performing at their best.