Keynote: PyTorch Performance for Agents on Vera Rubin

PyTorch Conference North America 2026

Oct 20, 2026 · 10:15–10:25 · Timezone not confirmed

In this keynote, Ujval will explore what agentic workloads need from AI systems and how the PyTorch stack can address these needs. Agentic systems introduce new bottlenecks and optimization opportunities. A single request can trigger long chains of reasoning, tool calls, code execution, data movement, and distributed inference. Training and inference serving software needs to be optimized across CPUs, GPUs, memory, and networking. Using Vera Rubin as a case study, he will show how co-design across hardware and software can improve end-to-end performance, efficiency, and developer experience for agents at scale.

Session status: scheduled

Room: Grand Ballroom

Track: Keynote Session

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Speakers and their event affiliations

• Ujval Kapasi

  Affiliation at this event: NVIDIA

Parent event

In person · San Jose Convention Center, San Jose, California, United States

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Companies participating in the parent event

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• Adaption · Speaker company Source
• Agentic AI Foundation · Speaker company Source
• Amazon · Speaker company Source
• Amazon Web Services · Speaker company Source
• Amazon Web Services · Sponsor Source
• Amazon.com · Speaker company Source
• AMD · Speaker company Source
• AMD · Sponsor Source
• Annapurna Labs · Speaker company Source
• Annapurna ML, Amazon · Speaker company Source
• Anyscale · Sponsor Source
• Apple · Speaker company Source
• Argonne National Laboratory · Speaker company Source
• Arm · Speaker company Source
• Arm · Sponsor Source
• AWS Annapurna Labs · Speaker company Source
• Baseten · Speaker company Source
• Baseten · Sponsor Source
• Beijing Academy of Artificial Intelligence · Speaker company Source
• Bird of Paradise AI · Speaker company Source
• Boson AI Inc. · Speaker company Source
• BosonAI · Speaker company Source
• ByteDance · Speaker company Source
• Capital One · Speaker company Source

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