Supermicro, Inc., a Total IT Solution Provider for AI, Cloud, Storage, and 5G/Edge, is expanding its AI reach with the upcoming support for the new NVIDIA HGX H200 built with H200 Tensor Core GPUs. Supermicro's industry leading AI platforms, including 8U and 4U Universal GPU Systems, are drop-in ready for the HGX H200 8-GPU, 4-GPU, and with nearly 2x capacity and 1.4x higher bandwidth HBM3e memory compared to the NVIDIA H100 Tensor Core GPU. In addition, the broadest portfolio of Supermicro NVIDIA MGX systems supports the upcoming NVIDIA Grace Hopper Superchip with HBM3e memory. With unprecedented performance, scalability, and reliability, Supermicro's rack scale AI solutions accelerate the performance of computationally intensive generative AI, large language Model (LLM) training, and HPC applications while meeting the evolving demands of growing model sizes. Using the building block architecture, Supermicro can quickly bring new technology to market, enabling customers to become more productive sooner.

Supermicro is also introducing the industry's highest density server with NVIDIA HGX H100 8-GPUs systems in a liquid cooled 4U system, utilizing the latest Supermicro liquid cooling solution. The industry's most compact high performance GPU server enables data center operators to reduce footprints and energy costs while offering the highest performance AI training capacity available in a single rack. With the highest density GPU systems, organizations can reduce their TCO by leveraging cutting-edge liquid cooling solutions.
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(PR) GIGABYTE Demonstrates the Future of Computing at Supercomputing 2023 with Advanced Cooling and Scaled Data Centers
GIGABYTE Technology, Giga Computing, a subsidiary of GIGABYTE and an industry leader in high-performance servers, server motherboards, and workstations, continues to be a leader in cooling IT hardware efficiently and in developing diverse server platforms for Arm and x86 processors, as well as AI accelerators. At SC23, GIGABYTE (booth #355) will showcase some standout platforms, including for the NVIDIA GH200 Grace Hopper Superchip and next-gen AMD Instinct APU. To better introduce its extensive lineup of servers, GIGABYTE will address the most important needs in supercomputing data centers, such as how to cool high-performance IT hardware efficiently and power AI that is capable of real-time analysis and fast time to results.

Advanced Cooling
For many data centers, it is becoming apparent that their cooling infrastructure must radically shift to keep pace with new IT hardware that continues to generate more heat and requires rapid heat transfer. Because of this, GIGABYTE has launched advanced cooling solutions that allow IT hardware to maintain ideal performance while being more energy-efficient and maintaining the same data center footprint. At SC23, its booth will have a single-phase immersion tank, the A1P0-EA0, which offers a one-stop immersion cooling solution. GIGABYTE is experienced in implementing immersion cooling with immersion-ready servers, immersion tanks, oil, tools, and services spanning the globe. Another cooling solution showcased at SC23 will be direct liquid cooling (DLC), and in particular, the new GIGABYTE cold plates and cooling modules for the NVIDIA Grace CPU Superchip, NVIDIA Grace Hopper Superchip, AMD EPYC 9004 processor, and 4th Gen Intel Xeon processor.
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(PR) MSI Introduces New AI Server Platforms with Liquid Cooling Feature at SC23
MSI, a leading global server provider, is showcasing its latest GPU and CXL memory expansion servers powered by AMD EPYC processors and 4th Gen Intel Xeon Scalable processors, which are optimized for enterprises, organizations and data centers, at SC23, booth #1592 in the Colorado Convention Center in Denver from November 13 to 16.

"The exponential growth of human- and machine-generated data demands increased data center compute performance. To address this demand, liquid cooling has emerged as a key trend, said Danny Hsu, General Manager of Enterprise Platform Solutions. "MSI's server platforms offer a well-balanced hardware foundation for modern data centers. These platforms can be tailored to specific workloads, optimizing performance and aligning with the liquid cooling trend."
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(PR) NVIDIA and IQM Quantum Computers to Advance Future Hybrid Quantum Applications
IQM Quantum Computers (IQM), a global leader in building quantum computers, today announced a collaboration with NVIDIA to advance future hybrid quantum applications through NVIDIA CUDA Quantum, an open-source platform for integrating and programming quantum processing units in one system. As part of this collaboration, users of IQM's quantum processing units across enterprises and research institutions can program and develop the next generation of hybrid quantum-classical applications with NVIDIA CUDA Quantum.

The collaboration aims to accelerate the development and utilization of quantum computing in various applications, fostering innovation, collaboration, and potential breakthroughs in science and industry. Leading institutions, such as CSC - IT Centre for Science and the VTT Technical Research Centre of Finland, plan to utilise CUDA Quantum on VTT's 5-qubit quantum computer developed in co-innovation partnership by IQM and VTT.
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(PR) AMD Announces New Radeon PRO W7700 Workstation Graphics Card
AMD today announced the AMD Radeon PRO W7700, the most powerful professional workstation graphics card under $1,000, offering an ideal combination of reliability, stability and extraordinary price/performance for content creation, CAD and AI applications. The new workstation graphics card is designed to meet the evolving demands of professional workflows, including increasingly complex computer-generated designs, the continual growth in the development of visual effects and animations, a global surge in construction, and the explosive growth in advanced AI applications. The AMD Radeon PRO W7700 graphics card unleashes professionals' creativity through exceptional performance, stunning visuals and future-ready capabilities.

"We built and optimized the AMD Radeon PRO W7700 graphics cards to create premium workstation graphics experiences, enabling our customers to boost innovation and productivity," said Dan Wood, corporate vice president, Radeon product management at AMD.
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(PR) Intel Advances Scientific Research and Performance for New Wave of Supercomputers
At SC23, Intel showcased AI-accelerated high performance computing (HPC) with leadership performance for HPC and AI workloads across Intel Data Center GPU Max Series, Intel Gaudi 2 AI accelerators and Intel Xeon processors. In partnership with Argonne National Laboratory, Intel shared progress on the Aurora generative AI (genAI) project, including an update on the 1 trillion parameter GPT-3 LLM on the Aurora supercomputer that is made possible by the unique architecture of the Max Series GPU and the system capabilities of the Aurora supercomputer. Intel and Argonne demonstrated the acceleration of science with applications from the Aurora Early Science Program (ESP) and the Exascale Computing Project. The company also showed the path to Intel Gaudi 3 AI accelerators and Falcon Shores.

"Intel has always been committed to delivering innovative technology solutions to meet the needs of the HPC and AI community. The great performance of our Xeon CPUs along with our Max GPUs and CPUs help propel research and science. That coupled with our Gaudi accelerators demonstrate our full breadth of technology to provide our customers with compelling choices to suit their diverse workloads," said Deepak Patil, Intel corporate vice president and general manager of Data Center AI Solutions.
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(PR) ASUS Demonstrates AI and Immersion-Cooling Solutions at SC23
ASUS today announced a showcase of the latest AI solutions to empower innovation and push the boundaries of supercomputing, at Supercomputing 2023 (SC23) in Denver, Colorado, from 12-17 November, 2023. ASUS will demonstrate the latest AI advances, including generative-AI solutions and sustainability breakthroughs with Intel, to deliver the latest hybrid immersion-cooling solutions, plus lots more - all at booth number 257.

At SC23, ASUS will showcase the latest NVIDIA-qualified ESC N8A-E12 HGX H100 eight-GPU server empowered by dual-socket AMD EPYC 9004 processors and is designed for enterprise-level generative AI with market-leading integrated capabilities. Related to NVIDIA announcement on the latest NVIDIA H200 Tensor Core GPU at SC23, which is the first GPU to offer HBM3E for faster, larger memory to fuel the acceleration of generative AI and large language models, ASUS will offer an update of H100-based system with an H200-based drop-in replacement in 2024.
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(PR) NVIDIA Supercharges Hopper, the World's Leading AI Computing Platform
NVIDIA today announced it has supercharged the world's leading AI computing platform with the introduction of the NVIDIA HGX H200. Based on NVIDIA Hopper architecture, the platform features the NVIDIA H200 Tensor Core GPU with advanced memory to handle massive amounts of data for generative AI and high performance computing workloads.

The NVIDIA H200 is the first GPU to offer HBM3e - faster, larger memory to fuel the acceleration of generative AI and large language models, while advancing scientific computing for HPC workloads. With HBM3e, the NVIDIA H200 delivers 141 GB of memory at 4.8 terabytes per second, nearly double the capacity and 2.4x more bandwidth compared with its predecessor, the NVIDIA A100. H200-powered systems from the world's leading server manufacturers and cloud service providers are expected to begin shipping in the second quarter of 2024.
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(PR) NVIDIA Grace Hopper Superchip Powers 40+ AI Supercomputers
Dozens of new supercomputers for scientific computing will soon hop online, powered by NVIDIA's breakthrough GH200 Grace Hopper Superchip for giant-scale AI and high performance computing. The NVIDIA GH200 enables scientists and researchers to tackle the world's most challenging problems by accelerating complex AI and HPC applications running terabytes of data.

At the SC23 supercomputing show, NVIDIA today announced that the superchip is coming to more systems worldwide, including from Dell Technologies, Eviden, Hewlett Packard Enterprise (HPE), Lenovo, QCT and Supermicro. Bringing together the Arm-based NVIDIA Grace CPU and Hopper GPU architectures using NVIDIA NVLink-C2C interconnect technology, GH200 also serves as the engine behind scientific supercomputing centers across the globe. Combined, these GH200-powered centers represent some 200 exaflops of AI performance to drive scientific innovation.
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