Nvidia Launches Four Arm-based Grace Server Designs

By Tiffany Trader

May 25, 2022

Nvidia is lining up Arm-based server platforms for a diverse range of HPC, AI and cloud applications. The new systems employ Nvidia’s custom Grace Arm CPUs in four different configurations, including a Grace Hopper HGX baseboard that has already racked up two supercomputing design wins (CSCS and Los Alamos National Laboratory).

Nvidia announced that its first Grace CPU-powered system designs will be coming to market in the first half of next year. The new details come on the heels of Grace and Grace Hopper Superchip disclosures made at the company’s March GPU Technology Conference.

The Grace Hopper Superchip inside the Grace Hopper HGX blade pairs an Nvidia Hopper GPU with a Grace CPU over NVLink-C2C in an integrated module. Graphic credit: Nvidia.

The new HGX Grace and HGX Grace Hopper platforms are designed for a 2U server chassis from Nvidia OEM partners, Nvidia said. Four HGX Grace blades fit in a single 2U footprint, with each blade providing up to a terabyte of LPDDR5X memory and up to a terabyte per second of memory bandwidth.

The HGX Grace Hopper 2U chassis implements two Grace Hopper blades, with each providing 512 gigabytes of LPDDR5X as well as 80 gigabytes of HBM3 memory and memory bandwidth up to 3.5 terabytes per second.

The Grace and Grace Hopper 2U chassis can be air or liquid-cooled and consume up to 2,000 watts.

“For these HGX references, Nvidia will of course provide the Grace Hopper and the Grace CPU Superchip modules as well as the corresponding PCB reference designs,” said Paresh Kharya, senior director of product management and marketing for accelerated computing at Nvidia, during a media briefing held in conjunction with Computex (which is taking place in Taipei this week). “Our partners can modify these reference designs and quickly spin up the motherboard, leveraging their existing system architectures.”

Connectivity between the Grace blades will be handled by Nvidia’s BlueField-3 DPU, and OEM partners will also have the option of employing a different interconnect in the servers, Kharya said. HGX Grace Hopper adds the option to connect nodes using NVLink.

Nvidia also announced Arm-based OVX and CGX blueprint systems. While HGX and DGX invoke Hyperscale and Datacenter respectively, OVX and CGX are a nod to Omniverse and Cloud. OVX Grace follows the x86-based OVX platform that Nvidia announced in March targeting digital twins and Omniverse applications. The Arm-based version employs one Grace CPU Superchip, one BlueField-3 DPU and and four Nvidia GPUs for visual computing (specific GPU unspecified at this time).

CGX systems are intended for cloud graphics and gaming. The Arm-based platform features the Grace CPU Superchip, one BlueField-3 DPU and two Nvidia A16 GPUs.

Source: Nvidia

While Nvidia is going all-in on Arm, Kharya emphasized that the company has no plans to stop supporting x86 CPUs on its platforms. “x86 is a very important CPU that is pretty much all of the market of Nvidia’s GPUs today. We’ll continue to support x86 and we’ll continue to support Arm-based CPUs, offering our customers and market the choice for wherever they want to deploy accelerated computing,” he said.

Kharya added that all the server form factors and reference designs being launched on Grace next year are already available on x86.

“Together [with our partners] we offer hundreds of configurations of x86 and Arm systems to power the world’s need for HPC and AI, and we are preparing new systems for Hopper and BlueField,” said Nvidia Director of Product Ying Yin Shih, during Nvidia’s Monday night Computex keynote. “These systems are open for all partners to expand their markets by leveraging our ecosystem.”

OEM hardware partners at launch include Asus, Gigabyte, QCT, Supermicro, Foxconn and Wiwynn. These Taiwanese computer makers will be bringing dozens of server models to market, according to Nvidia. Broader OEM support is expected.

When the Grace Hopper Superchip was unveiled in April 2021, early customer announcements included the Swiss National Supercomputing Centre (CSCS) and the U.S. Department of Energy’s Los Alamos National Laboratory. The centers said they are working with HPE and Nvidia to deploy Grace systems based on the HPE Cray XE architecture in 2023.

Nvidia also revisited its retooled datacenter roadmap and cadence, announced by CEO Jensen Huang at GTC 2021. The company’s roadmap now includes three chips: the GPU, the CPU and the DPU. “Each chip architecture will have a two-year rhythm,” said Brian Kelleher, senior vice president, hardware engineering at Nvidia, during the company’s Computex keynote. “One year we’ll focus on x86 platforms; one year we’ll focus on Arm platforms.”

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!

ARM, Fujitsu Targeting Open-source Software for Power Efficiency in 2-nm Chip

July 19, 2024

Fujitsu and ARM are relying on open-source software to bring power efficiency to an air-cooled supercomputing chip that will ship in 2027. Monaka chip, which will be made using the 2-nanometer process, is based on the Read more…

SCALEing the CUDA Castle

July 18, 2024

In a previous article, HPCwire has reported on a way in which AMD can get across the CUDA moat that protects the Nvidia CUDA castle (at least for PyTorch AI projects.). Other tools have joined the CUDA castle siege. AMD Read more…

Quantum Watchers – Terrific Interview with Caltech’s John Preskill by CERN

July 17, 2024

In case you missed it, there's a fascinating interview with John Preskill, the prominent Caltech physicist and pioneering quantum computing researcher that was recently posted by CERN’s department of experimental physi Read more…

Aurora AI-Driven Atmosphere Model is 5,000x Faster Than Traditional Systems

July 16, 2024

While the onset of human-driven climate change brings with it many horrors, the increase in the frequency and strength of storms poses an enormous threat to communities across the globe. As climate change is warming ocea Read more…

Researchers Say Memory Bandwidth and NVLink Speeds in Hopper Not So Simple

July 15, 2024

Researchers measured the real-world bandwidth of Nvidia's Grace Hopper superchip, with the chip-to-chip interconnect results falling well short of theoretical claims. A paper published on July 10 by researchers in the U. Read more…

Belt-Tightening in Store for Most Federal FY25 Science Budets

July 15, 2024

If it’s summer, it’s federal budgeting time, not to mention an election year as well. There’s an excellent summary of the curent state of FY25 efforts reported in AIP’s policy FYI: Science Policy News. Belt-tight Read more…

SCALEing the CUDA Castle

July 18, 2024

In a previous article, HPCwire has reported on a way in which AMD can get across the CUDA moat that protects the Nvidia CUDA castle (at least for PyTorch AI pro Read more…

Aurora AI-Driven Atmosphere Model is 5,000x Faster Than Traditional Systems

July 16, 2024

While the onset of human-driven climate change brings with it many horrors, the increase in the frequency and strength of storms poses an enormous threat to com Read more…

Shutterstock 1886124835

Researchers Say Memory Bandwidth and NVLink Speeds in Hopper Not So Simple

July 15, 2024

Researchers measured the real-world bandwidth of Nvidia's Grace Hopper superchip, with the chip-to-chip interconnect results falling well short of theoretical c Read more…

Shutterstock 2203611339

NSF Issues Next Solicitation and More Detail on National Quantum Virtual Laboratory

July 10, 2024

After percolating for roughly a year, NSF has issued the next solicitation for the National Quantum Virtual Lab program — this one focused on design and imple Read more…

NCSA’s SEAS Team Keeps APACE of AlphaFold2

July 9, 2024

High-performance computing (HPC) can often be challenging for researchers to use because it requires expertise in working with large datasets, scaling the softw Read more…

Anders Jensen on Europe’s Plan for AI-optimized Supercomputers, Welcoming the UK, and More

July 8, 2024

The recent ISC24 conference in Hamburg showcased LUMI and other leadership-class supercomputers co-funded by the EuroHPC Joint Undertaking (JU), including three Read more…

Generative AI to Account for 1.5% of World’s Power Consumption by 2029

July 8, 2024

Generative AI will take on a larger chunk of the world's power consumption to keep up with the hefty hardware requirements to run applications. "AI chips repres Read more…

US Senators Propose $32 Billion in Annual AI Spending, but Critics Remain Unconvinced

July 5, 2024

Senate leader, Chuck Schumer, and three colleagues want the US government to spend at least $32 billion annually by 2026 for non-defense related AI systems.  T Read more…

Atos Outlines Plans to Get Acquired, and a Path Forward

May 21, 2024

Atos – via its subsidiary Eviden – is the second major supercomputer maker outside of HPE, while others have largely dropped out. The lack of integrators and Atos' financial turmoil have the HPC market worried. If Atos goes under, HPE will be the only major option for building large-scale systems. Read more…

Everyone Except Nvidia Forms Ultra Accelerator Link (UALink) Consortium

May 30, 2024

Consider the GPU. An island of SIMD greatness that makes light work of matrix math. Originally designed to rapidly paint dots on a computer monitor, it was then 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…

Shutterstock_1687123447

Nvidia Economics: Make $5-$7 for Every $1 Spent on GPUs

June 30, 2024

Nvidia is saying that companies could make $5 to $7 for every $1 invested in GPUs over a four-year period. Customers are investing billions in new Nvidia hardwa Read more…

Nvidia Shipped 3.76 Million Data-center GPUs in 2023, According to Study

June 10, 2024

Nvidia had an explosive 2023 in data-center GPU shipments, which totaled roughly 3.76 million units, according to a study conducted by semiconductor analyst fir Read more…

AMD Clears Up Messy GPU Roadmap, Upgrades Chips Annually

June 3, 2024

In the world of AI, there's a desperate search for an alternative to Nvidia's GPUs, and AMD is stepping up to the plate. AMD detailed its updated GPU roadmap, w 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…

Intel’s Next-gen Falcon Shores Coming Out in Late 2025 

April 30, 2024

It's a long wait for customers hanging on for Intel's next-generation GPU, Falcon Shores, which will be released in late 2025.  "Then we have a rich, a very Read more…

Leading Solution Providers

Contributors

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…

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…

IonQ Plots Path to Commercial (Quantum) Advantage

July 2, 2024

IonQ, the trapped ion quantum computing specialist, delivered a progress report last week firming up 2024/25 product goals and reviewing its technology roadmap. 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…

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…

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…

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire