Giga Computing, a subsidiary of GIGABYTE and an industry leader in generative AI servers and advanced cooling technologies, today announced participation at NVIDIA GTC 2025 to bring to the market the best in GPU-based solutions for generative AI, media acceleration, and large language models (LLM). To this end, GIGABYTE booth #1409 at NVIDIA GTC showcases a rack-scale turnkey AI solution, GIGAPOD, that offers both air and liquid-cooling designs for the NVIDIA HGX B300 NVL16 system. Also, on display at the booth is a compute node from the newly announced NVIDIA GB300 NVL72 rack-scale solution. And for modularized compute architecture are two servers supporting the newly announced NVIDIA RTX PRO 6000 Blackwell Server Edition.

Complete AI solution - GIGAPOD
With the depth of expertise in hardware and system design, Giga Computing has combined infrastructure hardware, platform software, and architecting service to deliver scalable units composed of GIGABYTE GPU servers with NVIDIA GPU baseboards, while running GIGABYTE POD Manager, a powerful software suite designed to enhance operational efficiency, streamline management, and optimize resource utilization. GIGAPOD's scalable unit is designed for either nine air-cooled racks or five liquid-cooled racks. Giga Computing offers two approaches for the same goal, one powerful GPU cluster using NVIDIA HGX Hopper and Blackwell GPU platforms at scale to meet demand for all AI data centers.

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.

GIGABYTE Technology and Giga Computing, a subsidiary of GIGABYTE and an industry leader in enterprise solutions, will showcase their solutions at the GIGABYTE booth #1224 at NVIDIA GTC, a global AI developer conference running through March 21. This event will offer GIGABYTE the chance to connect with its valued partners and customers, and together explore what the future in computing holds.

The GIGABYTE booth will focus on GIGABYTE's enterprise products that demonstrate AI training and inference delivered by versatile computing platforms based on NVIDIA solutions, as well as direct liquid cooling (DLC) for improved compute density and energy efficiency. Also not to be missed at the NVIDIA booth is the MGX Pavilion, which features a rack of GIGABYTE servers for the NVIDIA GH200 Grace Hopper Superchip architecture.

AMI is pleased to announce that it has become one of the first Independent Firmware Vendors (IFV) to receive the Arm SystemReady SR v2.4 with Security Interface Extension (SIE) v1.2 certificate for the NVIDIA GH200 P4352 Reference Platform with AMI's Aptio V System Firmware solution. This marks another noteworthy achievement for AMI's solutions as they continue to enable Arm SystemReady SR certificates on NVIDIA GH200-based platforms. "The certification allows them to bet on a wide range of software applications, infrastructure solutions, firmware, and even entire operating systems with drivers that may have never been run before on our latest silicon before with the confidence that it "just works," says Ian Finder, Principal Product Lead, Grace at NVIDIA.

As the leading UEFI and BMC firmware provider for the Arm and x86 ecosystem, AMI recognizes the significance of the Arm SystemReady certification program, ensuring that Arm-based systems and solutions "just work" out of the box with standard operating systems, hypervisors, and software. AMI is focused on delivering interoperable, scalable, and secure foundational firmware solutions to the Arm ecosystem to reduce development and maintenance costs while enhancing reliability and hardware support.

Supermicro, Inc., a Total IT Solution manufacturer for AI, Cloud, Storage, and 5G/Edge, is announcing one of the industry's broadest portfolios of new GPU systems based on the NVIDIA reference architecture, featuring the latest NVIDIA GH200 Grace Hopper and NVIDIA Grace CPU Superchip. The new modular architecture is designed to standardize AI infrastructure and accelerated computing in compact 1U and 2U form factors while providing ultimate flexibility and expansion ability for current and future GPUs, DPUs, and CPUs. Supermicro's advanced liquid-cooling technology enables very high-density configurations, such as a 1U 2-node configuration with 2 NVIDIA GH200 Grace Hopper Superchips integrated with a high-speed interconnect. Supermicro can deliver thousands of rack-scale AI servers per month from facilities worldwide and ensures Plug-and-Play compatibility.

"Supermicro is a recognized leader in driving today's AI revolution, transforming data centers to deliver the promise of AI to many workloads," said Charles Liang, president and CEO of Supermicro. "It is crucial for us to bring systems that are highly modular, scalable, and universal for rapidly evolving AI technologies. Supermicro's NVIDIA MGX-based solutions show that our building-block strategy enables us to bring the latest systems to market quickly and are the most workload-optimized in the industry. By collaborating with NVIDIA, we are helping accelerate time to market for enterprises to develop new AI-enabled applications, simplifying deployment and reducing environmental impact. The range of new servers incorporates the latest industry technology optimized for AI, including NVIDIA GH200 Grace Hopper Superchips, BlueField, and PCIe 5.0 EDSFF slots."

Giga Computing, a subsidiary of GIGABYTE and an industry leader in high-performance servers, server motherboards, and workstations, today announced a major presence at Computex 2023, held May 30 to June 2, with a GIGABYTE booth that inspires while showcasing more than fifty servers that span GIGABYTE's comprehensive enterprise portfolio, including green computing solutions that feature liquid cooled servers and immersion cooling technology. The international computer expo attracts over 100,000 visitors annually and GIGABYTE will be ready with a spacious and attractive booth that will draw in curious minds, and at the same time there will be plenty of knowledgeable staff to answer questions about how our products are being utilized today.

The slogan for Computex 2023 is "Together we create." And just like parts that make a whole, GIGABYTE's slogan of "Future of COMPUTING" embodies all the distinct computing products from consumer to enterprise applications. For the enterprise business unit, there will be sections with themes: "Win Big with AI HPC," "Advance Data Centers," and "Embrace Sustainability." Each theme will show off cutting edge technologies that span x86 and ARM platforms, and great attention is placed on solutions that address challenges that come with more powerful computing.

NVIDIA today announced a supercomputer built on the NVIDIA Grace CPU Superchip, adding to a wave of new energy-efficient supercomputers based on the Arm Neoverse platform. The Isambard 3 supercomputer to be based at the Bristol & Bath Science Park, in the U.K., will feature 384 Arm-based NVIDIA Grace CPU Superchips to power medical and scientific research, and is expected to deliver 6x the performance and energy efficiency of Isambard 2, placing it among Europe's most energy-efficient systems.

It will achieve about 2.7 petaflops of FP64 peak performance and consume less than 270 kilowatts of power, ranking it among the world's three greenest non-accelerated supercomputers. The project is being led by the University of Bristol, as part of the research consortium the GW4 Alliance, together with the universities of Bath, Cardiff and Exeter.

In tests of real workloads, the NVIDIA Grace CPU Superchip scored 2x performance gains over x86 processors at the same power envelope across major data center CPU applications. That opens up a whole new set of opportunities. It means data centers can handle twice as much peak traffic. They can slash their power bills by as much as half. They can pack more punch into the confined spaces at the edge of their networks - or any combination of the above.

Data center managers need these options to thrive in today's energy-efficient era. Moore's law is effectively dead. Physics no longer lets engineers pack more transistors in the same space at the same power. That's why new x86 CPUs typically offer gains over prior generations of less than 30%. It's also why a growing number of data centers are power capped. With the added threat of global warming, data centers don't have the luxury of expanding their power, but they still need to respond to the growing demands for computing.

NVIDIA designed the Grace CPU, a processor in the classical sense, to replace the Intel Xeon or AMD EPYC processors it was having to cram into its pre-built HPC compute servers for serial-processing roles, and mainly because those half-a-dozen GPU HPC processors need to be interconnected by a CPU. The company studied the CPU-level limitations and bottlenecks not just with I/O, but also the machine-architecture, and realized its compute servers need a CPU purpose-built for the role, with an architecture that's heavily optimized for NVIDIA's APIs. This, the NVIDIA Grace CPU was born.

This is NVIDIA's first outing with a CPU with a processing footprint rivaling server processors from Intel and AMD. Built on the TSMC N4 (4 nm EUV) silicon fabrication process, it is a monolithic chip that's deployed standalone with an H100 HPC processor on a single board that NVIDIA calls a "Superchip." A board with a Grace and an H100, makes up a "Grace Hopper" Superchip. A board with two Grace CPUs makes a Grace CPU Superchip. Each Grace CPU contains a 900 GB/s switching fabric, a coherent interface, which has seven times the bandwidth of PCI-Express 5.0 x16. This is key to connecting the companion H100 processor, or neighboring Superchips on the node, with coherent memory access.

GIGABYTE Technology, (TWSE: 2376), an industry leader in high-performance servers and workstations, today announced its participation in Computex, which runs from May 24-27. GIGABYTE's booth will showcase the latest in accelerated computing, liquid & immersion cooling, and edge solutions, as well as provide an opportunity for attendees to get a glimpse at next gen enterprise hardware. GIGABYTE also announced plans to support the NVIDIA Grace CPU Superchip and NVIDIA Grace Hopper Superchip. With the new hardware innovations, GIGABYTE is charting a path to meet the requirements for the foreseeable future in data centers, accordingly many of those important technological modernizations that will be on show at Computex, as well as behind the NDA curtain.

Computex is unquestionably the world's largest computer expo, which has been held annually in Taiwan for over 20 years. Computex has continued to generate great interest and anticipation from the international community. The Nangang Exhibition Center will once again have a strong presence of manufacturers and component buyers encompassing the consumer PC market to enterprise.

NVIDIA today announced that Taiwan's leading computer makers are set to release the first wave of systems powered by the NVIDIA Grace CPU Superchip and Grace Hopper Superchip for a wide range of workloads spanning digital twins, AI, high performance computing, cloud graphics and gaming. Dozens of server models from ASUS, Foxconn Industrial Internet, GIGABYTE, QCT, Supermicro and Wiwynn are expected starting in the first half of 2023. The Grace-powered systems will join x86 and other Arm-based servers to offer customers a broad range of choice for achieving high performance and efficiency in their data centers.

"A new type of data center is emerging—AI factories that process and refine mountains of data to produce intelligence—and NVIDIA is working closely with our Taiwan partners to build the systems that enable this transformation," said Ian Buck, vice president of Hyperscale and HPC at NVIDIA. "These new systems from our partners, powered by our Grace Superchips, will bring the power of accelerated computing to new markets and industries globally."

When NVIDIA announced its Grace CPU Superchip, the company officially showed its efforts of creating an HPC-oriented processor to compete with Intel and AMD. The Grace CPU Superchip combines two Grace CPU modules that use the NVLink-C2C technology to deliver 144 Arm v9 cores and 1 TB/s of memory bandwidth. Each core is Arm Neoverse N2 Perseus design, configured to achieve the highest throughput and bandwidth. As far as performance is concerned, the only detail NVIDIA provides on its website is the estimated SPECrate 2017_int_base score of over 740. Thanks to the colleges over at Tom's Hardware, we have another performance figure to look at.

NVIDIA has made a slide about comparison with Intel's Ice Lake server processors. One Grace CPU Superchip was compared to two Xeon Platinum 8360Y Ice Lake CPUs configured in a dual-socket server node. The Grace CPU Superchip outperformed the Ice Lake configuration by two times and provided 2.3 times the efficiency in WRF simulation. This HPC application is CPU-bound, allowing the new Grace CPU to show off. This is all thanks to the Arm v9 Neoverse N2 cores pairing efficiently with outstanding performance. NVIDIA made a graph showcasing all HPC applications running on Arm today, with many more to come, which you can see below. Remember that NVIDIA provides this information, so we have to wait for the 2023 launch to see it in action.