Elevate Your Research with Marlowe & NVIDIA
We’re thrilled to announce a new Marlowe–NVIDIA joint initiative designed to connect Stanford researchers with NVIDIA solutions architects and research teams.
This collaboration offers a unique opportunity to:
Gain early-stage software support
Receive expert advice on scaling and optimization
Unlock a final performance boost using NVIDIA’s advanced software libraries
Build high-visibility collaborations that can amplify the impact of your research
How it works
These are informal, private sessions focused on your ongoing research. Whether you’re exploring new ideas or optimizing mature workflows, NVIDIA experts will provide tailored guidance to help you move faster and further.
Interested in participating?
If your group would like to present in this series or explore collaboration opportunities with NVIDIA, please reach out:
Craig Kapfer, Senior Director, Research Data Science; email
Sophia C. An, Marlowe Program Manager; email
We’re excited about what’s ahead—from infrastructure upgrades to new collaborative pathways—and look forward to supporting your research every step of the way. Stay tuned on Slack, submit those project applications, and consider taking advantage of this new opportunity to work directly with NVIDIA.
Let’s keep pushing the boundaries of what’s possible with Marlowe!
ICYMI: Marlowe Workshop Series
Please join us on January 28 at 2:00 PM for the first Marlowe workshop of 2026! This session covers the foundational knowledge of GPUs, including their architecture, functionality, and applications in computing. It provides an introduction to GPU computing through the lens of the Marlowe SuperPod and covers the breadth of compute options available to researchers at Stanford, including Sherlock, Carina, Nero GCP, and Farmshare.
This article is a part of the Stanford Data Science legacy publication. Read more about the HAI and Stanford Data Science merger.
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