[llm] Roadmap for Data and Serve LLM APIs

[kouroshHakha]

This document includes a list of issues / feature requests that we have collected across the oss and other channels. We’ll update this list with relevant info from issues, etc as we go. If there are any features that are not prioritized here, please feel free to open an RFC or feature request or post on the slack community channel.

Core features

Serve

• [P0] Prefix aware router @jujipotle
• [P0] In-place update for deployments when you have new models without having re-deploy the cluster cc @GeneDer
• [P0] TPU support
• [P0] Display vllm emitted metrics: https://github.com/ray-project/ray/pull/51156/files
• [P1] Open router protocol api for devs / researchers
• [P1] Prefill disaggregation PxDy pattern (many open questions around this architecture so would be interesting to see under what conditions is this architecture better than simple chunked-prefill enabled replicas under the same resource count)
• [P1] Distributed kv cache
• [P1] Embedding models endpoints cc @tnixon
• [P1] Heterogenous accelerator_type (Have a single deployment that can be scheduled with different engine settings on different accelerator types and shapes with different priorities)
• [P2] More backends other than vLLM (e.g. sglang)
• [P2] Fractional gpu support

Data

• [P0] Multi-node TP+PP for large DeepSeek models @lk-chen
• [P1] More vision language models
• [P1] TPU support
• [P2] More backends other than vLLM (e.g. sglang) [LLM Batch] SGLang engine stage and processor #51409 cc @Qiaolin-Yu
• [P2] Heterogenous accelerator_type in the same pipeline

CI/CD and release pipeline

• [P0] Release tests for structured output (llm.data) @lk-chen
• [P0] For Serve release tests use gen-config on the critical path

Docs and community support

• [P0] Cover gen-config in serve docs
• [P0] Run doc-test on examples @lk-chen
• [P0] Update vllm docs with ray cluster setup guide and serve and data code examples
• [P1] Example of running deepseek R1 (huge model with ray serve multi node)

[Qiaolin-Yu]

@kouroshHakha Hi, I’m very interested in the part about enabling Ray to support SGLang. Would it be possible for me to work on this?

[richardliaw]

I think that'd be awesome @Qiaolin-Yu . How about let's coordinate on the Ray Slack?

[Qiaolin-Yu]

I think that'd be awesome @Qiaolin-Yu . How about let's coordinate on the Ray Slack?

Sure!

[tnixon]

Would like to see ability to serve embedding models with Ray Serve LLM through a specific endpoint, as per:
#50639 (comment)

[yurigorokhov]

@lk-chen I am very interested in [P0] Multi-node TP+PP for large DeepSeek models - happy to help test or contribute. Is this something you are actively working on?

[kouroshHakha]

@yurigorokhov That'd be awesome. Can you join ray's slack workspace and #llm channel (https://ray.slack.com/archives/C08H0M37WLQ) ? We can hash out how you can contribute.