Argonne Deploys New Groq System to ALCF AI Testbed, Providing AI Accelerator Access to Researchers Globally

October 17, 2023

MOUNTAIN VIEW, Calif. and LEMONT, Ill., Oct. 17, 2023 — Groq, an artificial intelligence (AI) solutions company, and the U.S. Department of Energy’s (DOE’s) Argonne National Laboratory announced today that Groq hardware is now available to researchers through the Argonne Leadership Computing Facility’s (ALCF) AI Testbed. The ALCF is a DOE Office of Science user facility that provides high-performance computing (HPC) resources and AI technologies for open science.

The Groq software and hardware ecosystem is designed to accelerate the time to solution for complex AI problems, in particular AI inference, and the GroqRack deployment at Argonne will provide benefits to researchers working on critical scientific challenges such as imaging sciences, fusion energy, material design, and drug discovery. The unique Groq architecture and generalized compiler will deliver improved performance for a wide range of AI models.

“Standing up a GroqRack at Argonne National Laboratory reflects both the hard work of the Groq team and our strong partnership with Argonne, which will provide researchers the flexibility they need to innovate and push the boundaries of what’s possible with the ALCF AI Testbed,” said Jonathan Ross, CEO and founder of Groq.

The Groq system’s inference capabilities will be particularly useful in advancing Argonne’s efforts to develop and support an integrated research infrastructure that seamlessly integrates advanced computing resources with experimental facilities, such as light sources and fusion experiments, to accelerate the pace of discovery.

There will be a Groq AI Workshop that will introduce users to the Groq system deployed at the ALCF AI Testbed. This hands-on training session is targeted to researchers at universities, national labs, and industries working on open science and will help researchers get started on their science campaigns.

“Inference is a critical part of leveraging AI for science as it allows researchers to use trained machine learning models to make predictions or discover patterns in complex data,” said Michael E. Papka, ALCF’s director, and deputy associate laboratory director for Argonne’s Computing, Environment and Life Sciences directorate. “Incorporating Groq inference-based solutions into the ALCF AI Testbed further strengthens our portfolio of AI accelerator offerings to our research community.”

Argonne researchers are using Groq’s AI platform to improve predictive capabilities in real time for fusion energy science, helping to identify a safe operating region for plasma within a tokamak. The team is also exploring how to build workflows for fusion applications to connect traditional HPC to AI accelerators to mitigate large-scale disruptions in burning plasmas in experimental tokamak systems.

In another effort, Argonne and Groq partnered to advance drug discovery for COVID-19 by accelerating the time to results from days to minutes. In creating models of the virus and helping researchers screen them against a database of billions of candidate drug molecules at an accelerated rate, the AI models helped identify high-potential lead compounds to be used in clinical therapy trials. These same techniques are being deployed in drug discovery for cancer.

Aileen Black, President of Groq Government & Sales Public Sector, shared, “We’re thrilled to build upon our successful partnership with Argonne and collaborate with other DOE labs to advance LLM innovation. Our drug discovery work was just the beginning–we’re committed to enabling energy-efficient and scalable AI solutions for a sustainable computing future.”

The ALCF AI Testbed’s GroqRack compute cluster is open globally to researchers in academia, industry or national labs. Anyone interested in using the system can submit project proposals via the ALCF’s Director’s Discretionary Program.

Additionally, Groq, Argonne, and other AI vendors will hold a tutorial at SC23 to introduce researchers to novel AI accelerators for scientific computing. Join us for the tutorial.

About Argonne National Laboratory

Argonne National Laboratory seeks solutions to pressing national problems in science and technology. The nation’s first national laboratory, Argonne conducts leading-edge basic and applied scientific research in virtually every scientific discipline. Argonne researchers work closely with researchers from hundreds of companies, universities, and federal, state and municipal agencies to help them solve their specific problems, advance America’s scientific leadership and prepare the nation for a better future. With employees from more than 60 nations, Argonne is managed by  UChicago Argonne, LLC for the  U.S. Department of Energy’s Office of Science.

About Groq

Groq is an AI solutions company and the inventor of the Language Processing Unit accelerator that is purpose-built and software-driven to power Large Language Models (LLMs) for the exploding AI market. For more information, visit www.groq.com.


Source: Mariah Larwood And Beth Cerny, Argonne

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!

Yes, Big Data Is Still a Thing (It Never Really Went Away)

July 3, 2024

A funny thing happened on the way to the AI promised land: People realized they need data. In fact, they realized they need large quantities of a wide variety of data, and that it would be better if it was fresh, trusted Read more…

Point and Click HPC: High-Performance Desktops

July 3, 2024

Recently, an interesting paper appeared on Arvix called Use Cases for High-Performance Research Desktops. To be clear, the term desktop in this context does not refer to a machine but rather a computing desktop environme Read more…

Quantinuum, CU Succeed Implementing Nonlocal qLDPC Code

July 2, 2024

Trapped ion quantum computing specialist Quantinuum and University of Colorado (Boulder) researchers reported yesterday they had implemented nonlocal qLDPC codes for the first time and exceeded the breakeven point (error 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. Next up on the product roadmap is Forte Enterprise, intende Read more…

Best Networking Experience on the Planet: Join the 2024 SCinet CommUNITY Program

July 1, 2024

Join the SC24 SCinet team in Atlanta, GA, and learn high-performance networking while you network with high-performance people! Applications close July 15. Apply Now The CommUNITY@SC24 Professional Development program Read more…

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 hardware to keep up with newer AI models to drive revenue and prod Read more…

Point and Click HPC: High-Performance Desktops

July 3, 2024

Recently, an interesting paper appeared on Arvix called Use Cases for High-Performance Research Desktops. To be clear, the term desktop in this context does not 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…

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…

Shutterstock 2338659951

AI-augmented HPC and the Inflation of Science and Technology

June 27, 2024

Everyone is aware of the inflationary model of the early universe in which the volume of space expands exponentially then slows down. AI-augmented HPC (AHPC for Read more…

Summer Reading: DARPA Showcases Quantum Benchmarking Progress

June 25, 2024

Last week, the Defense Advanced Research Projects Agency (DARPA) issued an interim progress update from the second phase of its Quantum Benchmark (QB) program. Read more…

Spelunking the HPC and AI GPU Software Stacks

June 21, 2024

As AI continues to reach into every domain of life, the question remains as to what kind of software these tools will run on. The choice in software stacks – Read more…

HPE and NVIDIA Join Forces and Plan Conquest of Enterprise AI Frontier

June 20, 2024

The HPE Discover 2024 conference is currently in full swing, and the keynote address from Hewlett-Packard Enterprise (HPE) CEO Antonio Neri on Tuesday, June 18, Read more…

Slide Shows Samsung May be Developing a RISC-V CPU for In-memory AI Chip

June 19, 2024

Samsung may have unintentionally revealed its intent to develop a RISC-V CPU, which a presentation slide showed may be used in an AI chip. The company plans to 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…

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…

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…

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…

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…

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…

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…

Leading Solution Providers

Contributors

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…

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…

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…

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…

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…

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…

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…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire