Micron Technology, Inc., today announced the sampling of its next-generation GDDR7 graphics memory with the industry's highest bit density. Leveraging Micron's 1β (1-beta) DRAM technology and innovative architecture, Micron GDDR7 delivers 32 Gb/s high-performance memory in a power-optimized design. With over 1.5 TB/s of system bandwidth, which is up to 60% higher bandwidth than GDDR6, and four independent channels to optimize workloads, Micron GDDR7 memory enables faster response times, smoother gameplay and reduced processing times.

GDDR7 also provides a greater than 50% power-efficiency improvement compared to GDDR6 to better thermals and lengthen battery life, while the new sleep mode reduces standby power by up to 70%. Advanced reliability, availability and serviceability (RAS) features on Micron GDDR7 enhance device dependability and data integrity without compromising performance, broadening the spectrum of applications for Micron GDDR7 to AI, gaming and high-performance computing workloads.

In addition to new PC cases, Phanteks brought several new cooling products to the Computex 2024 show, including a whole new NEXLINQ cooling system, Glacier EZ-Fit series of liquid cooling components and kits, as well as a rather interesting fan prototype that will hopefully find its way to the market.

The big part of the Phanteks showcase was the NEXLINQ, a set of cooling components, or an ecosystem as Phanteks likes to describe it, which includes the M25 G2 fans, Glacier One M25 G2 AIO, and a NEXLINQ Hub. The NEXLINQ and components will feature support for the whole new LINQ-6 connector that will be able to provide both power and D-RGB lighting to the fans.

At Computex 2024, ASUS unveiled major updates to its popular laptop lineups, designed for the "Copilot+" era of AI computing. The first is the Zenbook S16 is a premium 16-inch laptop series powered by AMD's latest Ryzen AI 9 HX 370 processors with dedicated AI acceleration. Remarkably, ASUS has managed to pack this high-performance silicon into an ultra-portable 1.1 cm thin chassis weighing just 1.5 kg. The Zenbook S16 integrates AMD's new NPU capable of a 50 TOPS of AI compute for accelerating AI/ML workloads. The centerpiece is the laptop's stunning 16-inch 3K OLED display made with ASUS Lumina technology. It offers 100% vibrant DCI-P3 color gamut coverage, a blazing-fast 120 Hz refresh rate with 0.2 ms response time, and up to 600 nits brightness. ASUS paired this premium visual experience with a six-speaker audio system for an immersive multimedia experience.

GIGABYTE debuted its LCD Edge View display for showcasing real-time system information. Designed as a small and compact LCD display, it acts as a desktop-standing box capable of displaying critical system information like CPU and GPU temperatures, fan speeds of GPUs and CPU coolers, PC fans, as well as everything else happening inside of a PC. Interestingly, it isn't just a fixed-function display. It can show custom images/videos and display custom text, serving as a small display companion to the main monitor for users to look at occasionally or just monitor system health. The design of the LCD Edge View is to be a plug-and-play white box that could easily be positioned on any desktop, blending seamlessly with the user's setup.

It requires external power connection, and can be driven by any GPU/video output. It also features a USB port.

During Computex 2024, GIGABYTE unveiled its new "AI TOP" series designed to empower users to develop and run AI applications locally on their systems. The AI TOP lineup includes AI-optimized motherboards, graphics cards, and complete system solutions. The flagship motherboard is called TRX50 AI TOP, which boasts support for AMD's Ryzen Threadripper 7000 PRO and a regular series of CPUs. The flagship TRX50 AI TOP motherboard features a special VRM design with beefy heatsinks, four PCIe 5.0 x16 slots for quad-GPU setup, eight-channel DDR5 memory with room for eight DIMMs, and a few M.2 PCIe Gen 5 slots. Next in the AI TOP line is the GIGABYTE GeForce RTX 4070 Ti SUPER AI TOP edition. Formed as a blower-style cooler, the RTX 4070 Ti SUPER AI TOP is envisioned for tight spaces and parallel installation with other GPUs to accelerate local AI development and inference.

Supposedly, there will be more AI TOP motherboards and GPUs than what is showcased. GIGABYTE may have an AI TOP makeover for Intel's upcoming Z890 AORUS Xtreme, and there could be more GPUs in the future with the blower-style AI TOP design. The goal of AI TOP series is optimization for AI workloads, which require lots of GPUs and lots of memory, like the TRX50 AI TOP motherboard shows.

According to a report by KED Global, Korean chipmaking giant Samsung is ramping up its efforts to compete with global giants like TSMC and Intel. The latest partnership on the horizon is AMD's collaboration with Samsung. AMD is planning to utilize Samsung's cutting-edge 3 nm technology for its future chips. More specifically, AMD wants to utilize Samsung's gate-all-around FETs (GAAFETs). During ITF World 2024, AMD CEO Lisa Su noted that the company intends to use 3 nm GAA transistors for its future products. The only company offering GAAFETs on a 3 nm process is Samsung. Hence, this report from KED gains more credibility.

While we don't have any official information, AMD's utilization of a second foundry as a manufacturing partner would be a first for the company in years. This strategic move signifies a shift towards dual-sourcing, aiming to diversify its supply chain and reduce dependency on a single manufacturer, previously TSMC. We still don't know what specific AMD products will use GAAFETs. AMD could use them for CPUs, GPUs, DPUs, FPGAs, and even data center accelerators like Instinct MI series.

AMD, Broadcom, Cisco, Google, Hewlett Packard Enterprise (HPE), Intel, Meta and Microsoft today announced they have aligned to develop a new industry standard dedicated to advancing high-speed and low latency communication for scale-up AI systems linking in Data Centers.

Called the Ultra Accelerator Link (UALink), this initial group will define and establish an open industry standard that will enable AI accelerators to communicate more effectively. By creating an interconnect based upon open standards, UALink will enable system OEMs, IT professionals and system integrators to create a pathway for easier integration, greater flexibility and scalability of their AI-connected data centers.

In addition to its two new CPU cores, Arm has announced three new GPU cores, namely the Immortalis-G925, Mali-G725 and Mali-G625. Starting from the top, the Immortalis-G925 is said to bring up to 37 percent better performance at 30 percent lower power usage compared to last year's Immortalis-G720 GPU core, whilst having two additional GPU cores in the test scenario. It's also said to bring up to 52 percent better ray tracing performance and up to 36 percent improved inference in AI/ML workloads. It's also been given a big overhaul when it comes to ray tracing—due to it being aimed towards gaming phones—and Arm claims that it can either offer up to 52 percent increased performance by reducing the accuracy in scenes with intricate objects, or 27 percent more performance with maintained accuracy.

The Immortalis-G925 supports 50 percent more shader cores and it supports configurations of up to 24 cores, compared to 16 cores for the Immortalis-G720. The Mali-G725 will be available with between six and nine cores, whereas the Mali-G625 will sport between one and five cores. The Mali-G625 is intended for smartwatches and entry-level mobile devices where a more complex GPU might not be suitable due to power draw. The Mali-G725 on the other hand is targeting upper mid-range devices and the Immortalis-G925 is aimed towards flagship devices or gaming phones as mentioned above. In related news, Arm said it's working with Epic Games to get its Unreal Engine 5 desktop renderer up and running on Android, which could lead to more complex games on mobile devices.

According to Jon Peddie Research latest report, the global GPU and CPU markets ended Q1 2024 on growth. GPU shipments reached 70 million units, while PC CPU shipments increased by 33% year-over-year, the second consecutive yearly increase in over two decades. Over the next five years, discrete GPUs are projected to achieve 22% penetration in the PC market as the overall GPU installed approaches 3 billion units by 2026. Among major GPU vendors, AMD's market share dipped 0.7% from last quarter, while Intel gained 0.3% and Nvidia rose 0.4%. However, overall GPU shipments declined 9.9% quarter-over-quarter. The total GPU attach rate for PCs was 113%, slightly down from the prior quarter. Desktop graphics add-in board shipments also decreased 14.8%.

While Q1 is typically flat or down versus Q4, Jon Peddie Research's president suggests this quarter's performance could signal a return to normal seasonality. With Microsoft, AMD and Intel promoting AI PCs, and forecasts pointing to growth in Q2, there are optimistic signs - although semiconductor suppliers are guiding 7.9% down on average for next quarter.

ZOTAC Technology, a global manufacturer focused on innovative and high-performance hardware solutions, will return to COMPUTEX 2024 to showcase its biggest push yet into brand-new product categories. At this year's exhibition, ZOTAC will unveil its first attempt at creating a unique Handheld Gaming PC with advanced controls and features, allowing gamers to enjoy their favorite games on the go like never before with maximum competitive advantage.

Also in ZOTAC's extensive lineup is a full-fledged selection of AI-focused computational hardware, including a new workstation-grade External GPU Box series for hassle-free GPU compute and AI acceleration, ZBOX mini PCs powered by Intel Core Ultra CPUs equipped with integrated neural processing units (NPU), as well as other enterprise-grade solutions, such as GPU Servers and Arm-based NVIDIA Jetson systems, offering users a broad selection of AI accelerators in applications big and small.

USB4 hasn't exactly taken off as yet, largely due to a shortage of devices in the market and with a limited number of device controllers, the competition in the market is also slow. With Thunderbolt compatibility, there are plenty of USB4 compatible hosts out there though, even though you only get 32 Gbps rather than 40 Gbps of data throughput when a USB4 device is connected to Thunderbolt 3 or 4, although Thunderbolt 5 will allow for the full 40 Gbps. A company called ADT-Link has launched a product it calls the UT3G which is pretty much a retail ready bridge solution that allows techies and tinkerers to try out whatever PCIe devices they have over USB4. The adapter has a full-length PCIe x16 slot, but it's limited to a four lane PCIe interface which is compatible with PCIe 4.0, albeit not at the full 64 Gbps that such an interface can deliver.

In addition to the USB4 Type-C port on the PCB there's a standard 24-pin ATX power supply connector for power, which means that this isn't really a portable solution. However, the company has tested the UT3G with various graphics cards from both AMD and NVIDIA to make sure you can use it as an external graphics card dock. The UT3G has also been tested to be compatible with Windows, Linux and macOS, although macOS is limited to AMD GPUs. The board is built around the ASMedia ASM2464PD USB4 to PCIe 4.0 bridge and this shouldn't come as a surprise, as so far this is the only such device controller. ADT-Link doesn't appear to be selling the UT3G to consumers, but it can be picked up online from DFRobot starting at US$129 for a single unit.

The US Trade Representative (USTR) under Biden administration is preparing to reinstate tariffs on certain technology products imported from China, including GPUs and motherboards. The 25% duties, initially imposed by the Trump administration in 2019 but later suspended, are being revived as part of broader efforts to address concerns over China's economic and trade practices. The tariffs are intended to protect American companies from what the administration describes as unfair Chinese trade actions like intellectual property theft and forced technology transfers that undermine U.S. competitiveness. While no specific effective date was provided, the reinstated tariffs are expected to impact major Chinese computing component suppliers significantly. The revival of the Trump-era tariffs marks a reversal from the previous administration's move to temporarily suspend the duties in 2020 as a goodwill gesture during broader trade negotiations with Beijing.

However, those talks ultimately stalled amid the COVID-19 pandemic and rising bilateral tensions over economic and national security issues. Industry groups have expressed concerns that reviving the tariffs could disrupt tech supply chains, increase costs for U.S. companies and consumers, and potentially invite further Chinese retaliation. The tariffs would apply to GPUs, motherboards and other computing components assembled in China regardless of whether the raw components themselves originated from the country. With tensions already elevated over issues like Taiwan and advanced semiconductor production, the tariff announcement could set the stage for further economic friction between the world's two largest economies absent a negotiated resolution on tech trade.

AMD has quietly added some interesting codenames to its ROCm hardware support list. The biggest surprise is the appearance of "RDNA 4" and "Navi 44" codenames, hinting at a potential successor to the current RDNA 3 GPU architecture powering AMD's Radeon RX 7000 series graphics cards. The upcoming Radeon RX 8000 series could see Navi 44 SKU with a codename "gfx1200". While details are scarce, the inclusion of RDNA 4 and Navi 44 in the ROCm list suggests AMD is working on a new GPU microarchitecture that could bring significant performance and efficiency gains. While RDNA 4 may be destined for future Radeon gaming GPUs, in the data center GPU compute market, AMD is preparing a CDNA 4 based successors to the MI300 series. However, it appears that we haven't seen all the MI300 variants first. Equally intriguing is the "MI300X1" codename, which appears to reference an upcoming AI-focused accelerator from AMD.

While we wait for more information, we can't decipher whether the Navi 44 GPU SKU is for the high-end or low-end segment. If previous generations are for reference, then the Navi 44 SKU would target the low end of the GPU performance spectrum. The previous generation RDNA 3 had Navi 33 as an entry-level model, whereas the RDNA 2 had a Navi 24 SKU for entry-level GPUs. We have reported on RDNA 4 merely being a "bug correction" generation to fix the perf/Watt curve and offer better efficiency overall. What happens finally, we have to wait and see. AMD could announce more details in its upcoming Computex keynote.

NVIDIA today announced at Microsoft Build new AI performance optimizations and integrations for Windows that help deliver maximum performance on NVIDIA GeForce RTX AI PCs and NVIDIA RTX workstations. Large language models (LLMs) power some of the most exciting new use cases in generative AI and now run up to 3x faster with ONNX Runtime (ORT) and DirectML using the new NVIDIA R555 Game Ready Driver. ORT and DirectML are high-performance tools used to run AI models locally on Windows PCs.

WebNN, an application programming interface for web developers to deploy AI models, is now accelerated with RTX via DirectML, enabling web apps to incorporate fast, AI-powered capabilities. And PyTorch will support DirectML execution backends, enabling Windows developers to train and infer complex AI models on Windows natively. NVIDIA and Microsoft are collaborating to scale performance on RTX GPUs. These advancements build on NVIDIA's world-leading AI platform, which accelerates more than 500 applications and games on over 100 million RTX AI PCs and workstations worldwide.

Today at Microsoft Build, AMD (NASDAQ: AMD) showcased its latest end-to-end compute and software capabilities for Microsoft customers and developers. By using AMD solutions such as AMD Instinct MI300X accelerators, ROCm open software, Ryzen AI processors and software, and Alveo MA35D media accelerators, Microsoft is able to provide a powerful suite of tools for AI-based deployments across numerous markets. The new Microsoft Azure ND MI300X virtual machines (VMs) are now generally available, giving customers like Hugging Face, access to impressive performance and efficiency for their most demanding AI workloads.

"The AMD Instinct MI300X and ROCm software stack is powering the Azure OpenAI Chat GPT 3.5 and 4 services, which are some of the world's most demanding AI workloads," said Victor Peng, president, AMD. "With the general availability of the new VMs from Azure, AI customers have broader access to MI300X to deliver high-performance and efficient solutions for AI applications."

Today, Lenovo launched the Lenovo Yoga Slim 7x and Lenovo ThinkPad T14s Gen 6, its first next generation Copilot+ PCs powered by Snapdragon X Elite. As the PC industry enters a new phase of the artificial intelligence era, Lenovo is poised to offer new levels of personalization in personal computing across its PC portfolio. Intelligent software-powered local processing of tasks, and increased productivity, creativity, and security, these Copilot+ PC's combine to deliver a whole new experience in PC interaction. Lenovo is expanding its already comprehensive portfolio of AI-ready devices, software, and optimized services with two new laptops for consumers and business users—the Lenovo Yoga Slim 7x and the Lenovo ThinkPad T14s Gen 6.

Powered by Qualcomm Technologies' new Snapdragon X Elite processor featuring the 12-core Qualcomm Oryon CPU, Qualcomm Adreno GPU and a dedicated Qualcomm Hexagon NPU (neural processing unit), the new laptops deliver leading PC performance per watt with the fastest to date AI NPU processing up to 45 trillion operations per second (TOPS). With the latest enhancements from Microsoft and Copilot+, users can now access Large Language Model (LLM) capabilities even when offline, offering seamless productivity and creativity. The latest Lenovo laptops allow users to tap into the extensive Copilot+ knowledge base, empowering them to explore endless creative possibilities. By leveraging generative AI and machine learning, Copilot+ assists in composing compelling text, crafting engaging visuals, and streamlining common productivity tasks. With the ability to work offline with the same fluidity as online, the Yoga Slim 7x and the ThinkPad T14s Gen 6 set new standards in AI PC innovation, promising a futuristic and streamlined user experience for end users.

Intel's upcoming Falcon Shores GPU is shaping up to be a powerhouse for AI and high-performance computing (HPC) workloads, but it will also be an extreme power hog. The processor, combining Gaudi and Ponte Vecchio successors into a single GPU, is expected to consume an astonishing 1500 W of power - more than even Nvidia's beefy B200 accelerator, which draws 1000 W. This immense power consumption will require advanced cooling solutions to ensure the Falcon Shores GPU operates efficiently and safely. Intel's partners may turn to liquid cooling or even full immersion liquid cooling, a technology Intel has been promoting for power-hungry data center hardware. The high power draw is the cost of the Falcon Shores GPU's formidable performance promises. Intel claims it will deliver 5x higher performance per watt and 5x more memory capacity and bandwidth compared to its Ponte Vecchio products.

Intel may need to develop proprietary hardware modules or a new Open Accelerator Module (OAM) spec to support such extreme power levels, as the current OAM 2.0 tops out around 1000 W. Slated for release in 2025, the Falcon Shores GPU will be Intel's GPU IP based on its next-gen Xe graphics architecture. It aims to be a major player in the AI accelerator market, backed by Intel's robust oneAPI software development ecosystem. While the 1500 W power consumption is sure to raise eyebrows, Intel is betting that the Falcon Shores GPU's supposedly impressive performance will make it an enticing option for AI and HPC customers willing to invest in robust cooling infrastructure. The ultra-high-end accelerator market is heating up, and the HPC accelerator market needs a Ponte Vecchio successor.

Intel released the latest version of Arc GPU Graphics Drivers today. The latest version 101.5522 WHQL brings mostly game ready support for titles like Senua's Saga: Hellblade II, Starfield May Update, Wuthering Waves, and XDefiant. With the support for Starfield May Update, Intel has prepared performance improvements when the game runs on DirectX 12 API. This brings up to 8% average FPS uplift at 1080p with Ultra settings and up to 7% average FPS uplift at 1440p with High settings, which is a notable improvement coming only from the driver. You can download the drivers from the link below.DOWNLOAD: Intel Arc GPU Graphics Drivers 101.5522 WHQL.

Intel has prepared the Core Ultra 5-238V, a Lunar Lake-MX CPU that integrates 32 GB of LPDDR5X memory into the CPU package. This new design represents a significant departure from the traditional approach of using separate memory modules, promising enhanced performance and efficiency, similar to what Apple is doing with its M series of processors. The Core Ultra 5-238V is the first of its kind for Intel to hit mass consumers. Previous attempt was with Lakefield, which didn't take off, but had advanced 3D stacked Foveros packaging. With 32 GB of high-bandwidth, low-power LPDDR5X memory directly integrated into the CPU package, the Core Ultra 5-238V eliminates the need for separate memory modules, reducing latency and improving overall system responsiveness. This seamless integration results in faster data transfer rates and lower power consumption with LPDDR5X memory running at 8533 MT.

Applications that demand intensive memory usage, such as video editing, 3D rendering, and high-end gaming, will be the first to experience performance gains. Users can expect smoother multitasking, quicker load times, and more efficient handling of memory-intensive tasks. The Core Ultra 5-238V is equipped with four big Lion Cove and four little Skymont cores, in combination with seven Xe2-LPG cores based on Battlemage GPU microarchitecture. The bigger siblings to Core Ultra 5, the Core Ultra 7 series, will feature eight Xe2-LPG cores instead of seven, with the same CPU core count, while all of them will run the fourth generation NPU.

Today, Lenovo launched the Lenovo ThinkPad P14s Gen 5 designed for professionals who need top-notch performance in a portable 14-inch chassis. Featuring a stunning 16:10 display, this mobile workstation is powered by AMD Ryzen PRO 8040 HS-Series processors. These processors are ultra-advanced and energy-efficient, making them perfect for use in thin and light mobile workstations. The AMD Ryzen PRO HS- Series processors also come with built-in Artificial Intelligence (AI) capabilities, including an integrated Neural Processing Unit (NPU) for optimized performance in AI workflows.

The Lenovo ThinkPad P14s Gen 5 is provided with independent software vendor (ISV) certifications and integrated AMD Radeon graphics, making it ideal for running applications like AutoCAD, Revit, and SOLIDWORKS with seamless performance. This mobile workstation is ideal for mobile power users, offering advanced ThinkShield security features and passes comprehensive MIL-SPEC testing for ultimate durability.

According to ServeTheHome, Intel has decided to discontinue its high-performance computing (HPC) product line, Ponte Vecchio, and shift its focus towards developing its next-generation data center GPU, codenamed Falcon Shores. This decision comes as Intel aims to streamline its operations and concentrate its resources on the most promising and competitive offerings. The Ponte Vecchio GPU, released in January of 2023, was intended to be Intel's flagship product for the HPC market, competing against the likes of NVIDIA's H100 and AMD's Instinct MI series. However, despite its impressive specifications and features, Ponte Vecchio faced significant delays and challenges in its development and production cycle. Intel's decision to abandon Ponte Vecchio is pragmatic, recognizing the intense competition and rapidly evolving landscape of the data center GPU market.

By pivoting its attention to Falcon Shores, Intel aims to deliver a more competitive and cutting-edge solution that can effectively challenge the dominance of its rivals. Falcon Shores, slated for release in 2025, is expected to leverage Intel's latest process node and architectural innovations. Currently, Intel has Gaudi 2 and Gaudi 3 accelerators for AI. However, the HPC segment is left without a clear leader in the company's product offerings. Intel's Ponte Vecchio is powering Aurora exascale supercomputer, which is the latest submission to the TOP500 supercomputer lists. This is also coming after the Rialto Bridge cancellation, which was supposed to be an HPC-focused card. In the future, the company will focus only on the Falcon Shores accelerator, which will unify HPC and AI needs for high-precision FP64 and lower-precision FP16/INT8.

The 63rd edition of the TOP500 reveals that Frontier has once again claimed the top spot, despite no longer being the only exascale machine on the list. Additionally, a new system has found its way into the Top 10.

The Frontier system at Oak Ridge National Laboratory in Tennessee, USA remains the most powerful system on the list with an HPL score of 1.206 EFlop/s. The system has a total of 8,699,904 combined CPU and GPU cores, an HPE Cray EX architecture that combines 3rd Gen AMD EPYC CPUs optimized for HPC and AI with AMD Instinct MI250X accelerators, and it relies on Cray's Slingshot 11 network for data transfer. On top of that, this machine has an impressive power efficiency rating of 52.93 GFlops/Watt - putting Frontier at the No. 13 spot on the GREEN500.

Quantum computing. Drug discovery. Fusion energy. Scientific computing and physics-based simulations are poised to make giant steps across domains that benefit humanity as advances in accelerated computing and AI drive the world's next big breakthroughs. NVIDIA unveiled at GTC in March the NVIDIA Blackwell platform, which promises generative AI on trillion-parameter large language models (LLMs) at up to 25x less cost and energy consumption than the NVIDIA Hopper architecture.

Blackwell has powerful implications for AI workloads, and its technology capabilities can also help to deliver discoveries across all types of scientific computing applications, including traditional numerical simulation. By reducing energy costs, accelerated computing and AI drive sustainable computing. Many scientific computing applications already benefit. Weather can be simulated at 200x lower cost and with 300x less energy, while digital twin simulations have 65x lower cost and 58x less energy consumption versus traditional CPU-based systems and others.

Driving a fundamental shift in the high-performance computing industry toward AI-powered systems, NVIDIA today announced nine new supercomputers worldwide are using NVIDIA Grace Hopper Superchips to speed scientific research and discovery. Combined, the systems deliver 200 exaflops, or 200 quintillion calculations per second, of energy-efficient AI processing power.

New Grace Hopper-based supercomputers coming online include EXA1-HE, in France, from CEA and Eviden; Helios at Academic Computer Centre Cyfronet, in Poland, from Hewlett Packard Enterprise (HPE); Alps at the Swiss National Supercomputing Centre, from HPE; JUPITER at the Jülich Supercomputing Centre, in Germany; DeltaAI at the National Center for Supercomputing Applications at the University of Illinois Urbana-Champaign; and Miyabi at Japan's Joint Center for Advanced High Performance Computing - established between the Center for Computational Sciences at the University of Tsukuba and the Information Technology Center at the University of Tokyo.

NVIDIA today announced that it will accelerate quantum computing efforts at national supercomputing centers around the world with the open-source NVIDIA CUDA-Q platform. Supercomputing sites in Germany, Japan and Poland will use the platform to power the quantum processing units (QPUs) inside their NVIDIA-accelerated high-performance computing systems.

QPUs are the brains of quantum computers that use the behavior of particles like electrons or photons to calculate differently than traditional processors, with the potential to make certain types of calculations faster. Germany's Jülich Supercomputing Centre (JSC) at Forschungszentrum Jülich is installing a QPU built by IQM Quantum Computers as a complement to its JUPITER supercomputer, supercharged by the NVIDIA GH200 Grace Hopper Superchip. The ABCI-Q supercomputer, located at the National Institute of Advanced Industrial Science and Technology (AIST) in Japan, is designed to advance the nation's quantum computing initiative. Powered by the NVIDIA Hopper architecture, the system will add a QPU from QuEra. Poland's Poznan Supercomputing and Networking Center (PSNC) has recently installed two photonic QPUs, built by ORCA Computing, connected to a new supercomputer partition accelerated by NVIDIA Hopper.