ray

@raydistributed

A distributed compute framework for scaling AI workloads. Created and developed by @anyscalecompute.

ray
@raydistributed
Oct 30
Day-0 RL support for Le Chonk in SkyRL.
Eric Tang
@erictang000
Oct 29
We have Day-0 RL support for Le Chonk on SkyRL, with LoRA training on FSDP or Megatron, courtesy of @AoShen98662303 and the @vllm_project team!
ray
@raydistributed
Oct 29
If you want to learn about SkyRL, this is the place to do it.
Robert Nishihara
@robertnishihara
Oct 29
If you want to learn more about reinforcement learning for post-training, check out this webinar. We're covering - How the underlying algorithms work (e.g., RLVR with GRPO) - Recent research advances (on-policy distillation (OPD), multi-teacher on-policy distillation (MOPD)) -
ray
@raydistributed
Jul 23
How @Snowflake uses Ray Data to increase batch inference throughput by 6.5x.
Batch Inference Performance: Cross-Platform Comparison
From snowflake.com
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ray
@raydistributed
Jul 15
Great description of a world model data pipeline. reka.ai/labs/research/…
Reka
@RekaAILabs
Jul 15
Replying to @RekaAILabs
Built on Ray on Kubernetes @anyscalecompute 🙌
ray
@raydistributed
Jun 30
We just released Ray 2.56! This includes - Ray Data stability improvements: reduced object store spilling, automatic batch size selection - Ray Serve LLM re-architecture: decoupling request handling from the token streaming response path, LLM serving performance improvements, new
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