Ray Summit 2026
Ray Summit is Anyscale's annual conference on the Ray distributed computing framework. The 2026 edition is in San Francisco, dates to be confirmed.
Presented by
Tuesday, September 22 – Thursday, September 24, 2026
3-day technical conference
TBA (SF)
TBA, San Francisco, CA
Who attends
ML platform engineers · LLM training/serving teams · distributed systems engineers
About this event
Ray Summit — what to expect
Ray Summit is Anyscale's annual conference on the Ray distributed computing framework. The 2026 edition is in San Francisco, dates to be confirmed.
Programming centers on distributed AI training, LLM serving, and ML infrastructure built on Ray. The audience is heavily technical — ML platform engineers and the teams running large-scale training and inference.
One of the most technical AI events on the calendar. Ray powers LLM training at OpenAI, Cohere, Uber, and many others.
Why it matters for Robot.com
Three reasons to track this event
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Ray is foundational ML infrastructure
Many large-scale ML systems use Ray for training and serving. Robotics teams scaling model training benefit from these patterns.
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LLM serving cost optimization
The serving sessions go deep on inference cost — KV cache management, batching, quantization. Directly applicable to robotics teams running LLM workloads.
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Rare access to ML platform engineers
Conference attendees are ML platform engineers from frontier labs. Strongest recruiting environment of the year for that specific role.
How to work the show
A playbook for the team on the ground
- Attend the LLM serving and training infrastructure tracks.
- Skip data science / RL theory sessions unless directly relevant.
- Pursue 1:1s with ML platform engineers as a recruiting channel.
Robot.com fit
Where this event maps to the product family
Direct fit
Distributed training and inference patterns for foundation model fine-tunes used in operator tooling.
Adjacent fit
ML platform engineer recruiting pipeline.