Training & Agent Efficiency: a Snowflake NeurIPS Mixer

Snowflake's AI Research team is building AI into the core of our platform. Our work spans training and inference systems, agent quality and efficiency, and contributes to open-source projects like DeepSpeed and vLLM.

Join us during NeurIPS 2026 for an evening of technical talks, open Q&A and networking with fellow researchers, founders, and investors.

Who should attend

ML researchers and engineers interested in training systems and AI efficiency

Founders and researchers at Neolabs and AI-native startups working on post-training, RL, inference or agents

Investors focused on AI infrastructure and research-led companies

Agenda

5:00 PM | Arrivals and Networking

Drinks, bites, and conversation.

6:00 PM | Cortex Training: Rethinking the Training Loop

Samyam Rajbhandari, Principal AI Architect, Snowflake (DeepSpeed co-founder)

How Cortex Training lets you keep control of the training loop while managed infrastructure handles the GPU-heavy work, and how multiplexing gets more out of each GPU.

6:30 PM | CoCo: Quality and Efficiency in AI Agents

Anupam Datta, Principal Research Scientist, Snowflake (TruLens co-creator)

The research behind Snowflake CoCo: how the team measures agent quality and cuts token spend.

7:00 PM | Networking

Keep the conversation going.

8:00 PM | Close

We're keeping the group small to make room for meaningful conversations. Secure your spot today!. Request your spot now!