Argonne National Laboratory

In partnership with the National Institutes of Health and National Cancer Institute

At Argonne National Laboratory, researchers work to gain a deeper understanding of our planet, our climate, and the cosmos. However, when working with the NIH and NCI on drug discovery for cancer treatment, they ran into major challenges associated with scaling large AI models across a cluster of GPUs. ANL contacted us to explore how Cerebras Systems could accelerate their important work – ultimately reducing training time from weeks to hours.

Cerebras allowed us to reduce the experiment turnaround time on our cancer prediction models by 300X, ultimately enabling us to explore questions that previously would have taken years, in mere months.

Rick Stevens

Associate Laboratory Director of Computing, Environment and Life Sciences @ Argonne National Laboratory

  • Intelligent Resolution: Integrating Cryo-EM with AI-driven Multi-resolution Simulations to Observe the SARS-CoV-2 Replication-Transcription Machinery in Action

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  • At SC21, ANL joined us for a fireside chat on our close partnership and the ALCF AI Testbed

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  • ANL brings computational tools to the forefront of COVID-19 research.

    Read Press Release
  • A Giant, Superfast AI Chip is Being Used to Find Better Cancer Drugs

    Read News Article
  • Stream-AI-MD: streaming AI-driven adaptive molecular simulations for heterogeneous computing platforms

    Read Research Paper
  • Watch this video to learn how Argonne National Laboratory is working with Cerebras Systems to accelerate cancer research.

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Cerebras Systems and Argonne National Laboratory (ANL) Fireside Chat at SC21

Cerebras Introduction

Cerebras Introduction