Supermicro Unveils New GPU Systems with NVIDIA GH200 Grace Hopper Architecture for Advanced AI Infrastructure

October 19, 2023

SAN JOSE, Calif., Oct. 19, 2023 — Supermicro, Inc. 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.”

Learn more about Supermicro’s NVIDIA MGX systems at: www.supermicro.com/mgx

To Register and View the Supermicro MGX Webinar, click here.

“NVIDIA and Supermicro have long collaborated on some of the most performant AI systems available,” said Ian Buck, vice president of hyperscale and HPC at NVIDIA. “The NVIDIA MGX modular reference design, combined with Supermicro’s server expertise, will create new generations of AI systems that include our Grace and Grace Hopper Superchips to benefit customers and industries worldwide.”

Supermicro’s NVIDIA MGX Platform Overview

Supermicro’s NVIDIA MGX platforms are designed to deliver a range of servers that will accommodate future AI technologies. This new product line addresses AI-based servers’ unique thermal, power, and mechanical challenges.

Supermicro’s new NVIDIA MGX line of servers includes:

  • ARS-111GL-NHR – 1 NVIDIA GH200 Grace Hopper Superchip, Air-Cooled
  • ARS-111GL-NHR-LCC – 1 NVIDIA GH200 Grace Hopper Superchip, Liquid-Cooled
  • ARS-111GL-DHNR-LCC – 2 NVIDIA GH200 Grace Hopper Superchips, 2 Nodes, Liquid-Cooled
  • ARS-121L-DNR – 2 NVIDIA Grace CPU Superchips in each of 2 Nodes, 288 Cores in total
  • ARS-221GL-NR – 1 NVIDIA Grace CPU Superchip in 2U
  • SYS-221GE-NR – Dual-socket 4th Gen Intel Xeon Scalable processors with up to 4 NVIDIA H100 Tensor Core or 4 NVIDIA PCIe GPUs

Every MGX platform can be enhanced with NVIDIA BlueField-3 DPU and/or NVIDIA ConnectX-7 interconnects for high-performance InfiniBand or Ethernet networking.

Technical Specifications

Supermicro’s 1U NVIDIA MGX systems have up to 2 NVIDIA GH200 Grace Hopper Superchips featuring 2 NVIDIA H100 GPUs and 2 NVIDIA Grace CPUs. Each comes with 480GB LPDDR5X memory for the CPU and 96GB of HBM3 or 144GB of HBM3e memory for the GPU. The memory-coherent, high-bandwidth, low-latency NVIDIA-C2C interconnects the CPU, GPU, and memory at 900GB/s — 7 times faster than PCIe 5.0. The modular architecture provides multiple PCIe 5.0 x16 FHFL slots to accommodate DPUs for cloud and data management and expandability for additional GPUs, networking, and storage.

With the 1U 2-node design featuring 2 NVIDIA GH200 Grace Hopper Superchips, Supermicro’s proven direct-to-chip liquid cooling solutions can reduce OPEX by more than 40% while increasing computing density and simplifying rack-scale deployment for large language model (LLM) clusters and HPC applications.

The 2U Supermicro NVIDIA MGX platform supports both NVIDIA Grace and x86 CPUs with up to 4 full-size data center GPUs, such as the NVIDIA H100 PCIe, H100 NVL, or L40S. It also provides three additional PCIe 5.0 x16 slots for I/O connectivity, and eight hot-swap EDSFF storage bays.

Supermicro offers NVIDIA networking to secure and accelerate AI workloads on the MGX platform. This includes a combination of NVIDIA BlueField-3 DPUs, which provide 2x 200Gb/s connectivity for accelerating user-to-cloud and data storage access, and ConnectX-7 adapters, which provide up to 400Gb/s InfiniBand or Ethernet connectivity between GPU servers.

Developers can quickly use these new systems and NVIDIA software offerings for any industry workload. These offerings include NVIDIA AI Enterprise, enterprise-grade software that powers the NVIDIA AI platform and streamlines the development and deployment of production-ready generative AI, computer vision, speech AI, and more. Additionally, the NVIDIA HPC software development kit provides the essential tools needed to fuel the advancement of scientific computing.

Every aspect of Supermicro NVIDIA MGX systems is designed to increase efficiency, ranging from intelligent thermal design to component selection. NVIDIA Grace Superchip CPUs feature 144 cores and deliver up to 2x the performance per watt compared to today’s industry-standard x86 CPUs. Specific Supermicro NVIDIA MGX systems can be configured with two nodes in 1U, totaling 288 cores on two Grace CPU Superchips to provide groundbreaking compute densities and energy efficiency in hyperscale and edge data centers.

For more information, please visit the Supermicro NVIDIA MGX systems website: www.supermicro.com/mgx.

About Super Micro Computer, Inc.

Supermicro (NASDAQ: SMCI) is a global leader in Application-Optimized Total IT Solutions. Founded and operating in San Jose, California, Supermicro is committed to delivering first to market innovation for Enterprise, Cloud, AI, and 5G Telco/Edge IT Infrastructure. We are a Total IT Solutions manufacturer with server, AI, storage, IoT, switch systems, software, and support services. Supermicro’s motherboard, power, and chassis design expertise further enables our development and production, enabling next-generation innovation from cloud to edge for our global customers. Our products are designed and manufactured in-house (in the US, Taiwan, and the Netherlands), leveraging global operations for scale and efficiency and optimized to improve TCO and reduce environmental impact (Green Computing). The award-winning portfolio of Server Building Block Solutions allows customers to optimize for their exact workload and application by selecting from a broad family of systems built from our flexible and reusable building blocks that support a comprehensive set of form factors, processors, memory, GPUs, storage, networking, power, and cooling solutions (air-conditioned, free air cooling or liquid cooling).


Source: Supermicro

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industry updates delivered to you every week!

Google Announces Sixth-generation AI Chip, a TPU Called Trillium

May 17, 2024

On Tuesday May 14th, Google announced its sixth-generation TPU (tensor processing unit) called Trillium.  The chip, essentially a TPU v6, is the company's latest weapon in the AI battle with GPU maker Nvidia and clou Read more…

ISC 2024 Student Cluster Competition

May 16, 2024

The 2024 ISC 2024 competition welcomed 19 virtual (remote) and eight in-person teams. The in-person teams participated in the conference venue and, while the virtual teams competed using the Bridges-2 supercomputers at t Read more…

Grace Hopper Gets Busy with Science 

May 16, 2024

Nvidia’s new Grace Hopper Superchip (GH200) processor has landed in nine new worldwide systems. The GH200 is a recently announced chip from Nvidia that eliminates the PCI bus from the CPU/GPU communications pathway.  Read more…

Europe’s Race towards Quantum-HPC Integration and Quantum Advantage

May 16, 2024

What an interesting panel, Quantum Advantage — Where are We and What is Needed? While the panelists looked slightly weary — their’s was, after all, one of the last panels at ISC 2024 — the discussion was fascinat Read more…

The Future of AI in Science

May 15, 2024

AI is one of the most transformative and valuable scientific tools ever developed. By harnessing vast amounts of data and computational power, AI systems can uncover patterns, generate insights, and make predictions that Read more…

Some Reasons Why Aurora Didn’t Take First Place in the Top500 List

May 15, 2024

The makers of the Aurora supercomputer, which is housed at the Argonne National Laboratory, gave some reasons why the system didn't make the top spot on the Top500 list of the fastest supercomputers in the world. At s Read more…

Google Announces Sixth-generation AI Chip, a TPU Called Trillium

May 17, 2024

On Tuesday May 14th, Google announced its sixth-generation TPU (tensor processing unit) called Trillium.  The chip, essentially a TPU v6, is the company's l Read more…

Europe’s Race towards Quantum-HPC Integration and Quantum Advantage

May 16, 2024

What an interesting panel, Quantum Advantage — Where are We and What is Needed? While the panelists looked slightly weary — their’s was, after all, one of Read more…

The Future of AI in Science

May 15, 2024

AI is one of the most transformative and valuable scientific tools ever developed. By harnessing vast amounts of data and computational power, AI systems can un Read more…

Some Reasons Why Aurora Didn’t Take First Place in the Top500 List

May 15, 2024

The makers of the Aurora supercomputer, which is housed at the Argonne National Laboratory, gave some reasons why the system didn't make the top spot on the Top Read more…

ISC 2024 Keynote: High-precision Computing Will Be a Foundation for AI Models

May 15, 2024

Some scientific computing applications cannot sacrifice accuracy and will always require high-precision computing. Therefore, conventional high-performance c Read more…

Shutterstock 493860193

Linux Foundation Announces the Launch of the High-Performance Software Foundation

May 14, 2024

The Linux Foundation, the nonprofit organization enabling mass innovation through open source, is excited to announce the launch of the High-Performance Softw Read more…

ISC 2024: Hyperion Research Predicts HPC Market Rebound after Flat 2023

May 13, 2024

First, the top line: the overall HPC market was flat in 2023 at roughly $37 billion, bogged down by supply chain issues and slowed acceptance of some larger sys Read more…

Top 500: Aurora Breaks into Exascale, but Can’t Get to the Frontier of HPC

May 13, 2024

The 63rd installment of the TOP500 list is available today in coordination with the kickoff of ISC 2024 in Hamburg, Germany. Once again, the Frontier system at Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Some Reasons Why Aurora Didn’t Take First Place in the Top500 List

May 15, 2024

The makers of the Aurora supercomputer, which is housed at the Argonne National Laboratory, gave some reasons why the system didn't make the top spot on the Top Read more…

Leading Solution Providers

Contributors

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

Eyes on the Quantum Prize – D-Wave Says its Time is Now

January 30, 2024

Early quantum computing pioneer D-Wave again asserted – that at least for D-Wave – the commercial quantum era has begun. Speaking at its first in-person Ana Read more…

The GenAI Datacenter Squeeze Is Here

February 1, 2024

The immediate effect of the GenAI GPU Squeeze was to reduce availability, either direct purchase or cloud access, increase cost, and push demand through the roof. A secondary issue has been developing over the last several years. Even though your organization secured several racks... Read more…

Intel Plans Falcon Shores 2 GPU Supercomputing Chip for 2026  

August 8, 2023

Intel is planning to onboard a new version of the Falcon Shores chip in 2026, which is code-named Falcon Shores 2. The new product was announced by CEO Pat Gel Read more…

The NASA Black Hole Plunge

May 7, 2024

We have all thought about it. No one has done it, but now, thanks to HPC, we see what it looks like. Hold on to your feet because NASA has released videos of wh Read more…

GenAI Having Major Impact on Data Culture, Survey Says

February 21, 2024

While 2023 was the year of GenAI, the adoption rates for GenAI did not match expectations. Most organizations are continuing to invest in GenAI but are yet to Read more…

How the Chip Industry is Helping a Battery Company

May 8, 2024

Chip companies, once seen as engineering pure plays, are now at the center of geopolitical intrigue. Chip manufacturing firms, especially TSMC and Intel, have b Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire