The full-stack NVIDIA accelerated computing platform has once again demonstrated exceptional performance in the latest MLPerf Training v4.0 benchmarks. NVIDIA more than tripled the performance on the large language model (LLM) benchmark, based on GPT-3 175B, compared to the record-setting NVIDIA submission made last year. Using an AI supercomputer featuring 11,616 NVIDIA H100 Tensor Core GPUs connected with NVIDIA Quantum-2 InfiniBand networking, NVIDIA achieved this remarkable feat through larger scale - more than triple that of the 3,584 H100 GPU submission a year ago - and extensive full-stack engineering.

Thanks to the scalability of the NVIDIA AI platform, Eos can now train massive AI models like GPT-3 175B even faster, and this great AI performance translates into significant business opportunities. For example, in NVIDIA's recent earnings call, we described how LLM service providers can turn a single dollar invested into seven dollars in just four years running the Llama 3 70B model on NVIDIA HGX H200 servers. This return assumes an LLM service provider serving Llama 3 70B at $0.60/M tokens, with an HGX H200 server throughput of 24,000 tokens/second.

ASRock Rack Inc., the leading innovative server company, today is set to showcase a comprehensive range of servers for diverse AI workloads catering to scenarios from the edge, on-premises, and to the cloud at booth #1737 at SC 23 held at the Colorado Convention Center in Denver, USA. The event is from November 13th to 16th, and ASRock Rack will feature the following significant highlights:

At SC 23, ASRock Rack will demonstrate the NVIDIA-Qualified 2U4G-GENOA/M3 and 4U8G series GPU server solutions along with the NVIDIA H100 PCIe. The ASRock Rack 4U8G and 4U10G series GPU servers are able to accommodate eight to ten 400 W dual-slot GPU cards and 24 hot-swappable 2.5" drives, designed to deliver exceptional performance for demanding AI workloads deployed in the cloud environment. The 2U4G-GENOA/M3, tailored for lighter workloads, is powered by a single AMD EPYC 9004 series processor and is able to support four 400 W dual-slot GPUs while having additional PCIe and OCP NIC 3.0 slots for expansions.

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.

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.

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.