Meet Rafay at NVIDIA GTC 2026

From NVIDIA GPUs to Production-Ready AI Factories ‍ Find Rafay at Booth #136 or book time with the team in South Hall Meeting Room #6262

March 16-19, 2026 at the San Jose Convention Center

NVIDIA GTC brings together the builders and operators shaping the future of AI infrastructure. Rafay is attending GTC to engage with enterprises, GPU cloud operators, and platform teams who are moving beyond raw GPU deployments toward scalable, production-ready AI factories.

Rafay provides the critical platform layer that transforms NVIDIA infrastructure into governed, multi-tenant AI platforms—enabling self-service access, operational control, and faster time to value. We’re here to share proven patterns, learn what’s next from the ecosystem, and help teams turn AI infrastructure into predictable, scalable platforms.

Join us at our ancillary events:

Registrations are subject to host approval. ‍

• Rafay and Netris Dinner - March 16
• Executive Breakfast - March 18
• Rafay and Visionbay.ai Happy Hour - March 18

Rafay's Valued Partnerships:

Featured Resources

Unlock Your AI Potential with Cisco and Rafay: Transform AI PODs into a Self-Service GPU Cloud \
Cisco provides AI-optimized infrastructure. Rafay makes it usable across teams, tenants, and use cases in days.\
Learn More](/content/resources/white-papers/cisco-rafay-ai-pods-gpu-cloud/index.html)

GPU cloud evaluation report \
Evaluating how the Rafay Platform delivers a GPU cloud for enterprises and cloud service providers by PivotNine.\
Learn More](/content/resources/white-papers/gpu-cloud-evaluation-report/index.html)

From GPUs to Revenue: A Practical Guide to AI Factory Builds \
This white paper breaks down what it actually takes to turn GPU investments into measurable business outcomes.\
Learn More](/content/resources/white-papers/from-gpus-to-revenue-a-practical-guide-to-ai-factory-builds/index.html)

AI Token Factory \
AI Token Factory extends the Rafay Platform to deliver AI services through APIs and token-metered consumption. Production-ready AI APIs run on GPU infrastructure while maintaining governance, multi-tenancy, and operational control. Token-metered consumption provides visibility into usage and enables internal chargeback or monetization models.\
Learn More](/content/resources/datasheets/ai-token-factory/index.html)