CoreWeave x NVIDIA Dynamo Meetup

Overview

Join CoreWeave and NVIDIA Dynamo for an evening on the infrastructure behind production inference and reinforcement learning post-training.

In RL post-training, training and inference start to blend together. The policy generates rollouts, training produces new weights, and those weights need to be serving again before the next round can start. How fast that loop turns depends on how quickly your inference stack can pick up a new checkpoint.

We'll start with the recent CoreWeave Forge launch from Fully Connected 2026. One new piece is RL Rollouts on CoreWeave Dedicated Inference, built on NVIDIA Dynamo. It hot-loads updated checkpoints into a live deployment with minimal downtime, so each round of rollouts uses the latest policy. CoreWeave, NVIDIA and You.com used it to post-train NVIDIA Nemotron 3.5 Lightning with RL in NeMo Gym, using You.com's web search API. Model reload latency improved 15x over baseline.

This meetup is for developers and researchers building and scaling inference and post-training systems. Topics include high-throughput serving, disaggregated inference, efficient rollouts, weight hot-swapping, SFT and RL pipelines, and closing the loop from production signal to a better model. Expect technical talks, real lessons from teams running these systems, and plenty of time to connect.

Agenda:

• 6:00 pm: Doors open

• 6:30 pm: CoreWeave talk: CoreWeave Forge: from production inference to post-training

• 6:45 pm: NVIDIA Dynamo talk: Inference at scale and fast weight updates for RL rollouts

• 7:00–9:00 pm: Mingle with fellow developers!

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