Huamin Chen

Thinker, tinker, twitter.

[Huamin Chen @root_fs]

@emollick I spend a lot of time on this problem. I work on Auto style routing across Microsoft/GitHub and maintain vLLM Semantic Router.

The key distinction I'd make from the Jagged Frontier framing is:

human perceived difficulty != model capability != router quality

Good routers are not just doing "easy task to small model, hard task to big model."

They are trying to predict which model is best for a specific request using signals like task type, capability profile, context, cost, latency, confidence, and failure modes.

That's the approach we're taking with Auto.

Models have different capability surfaces. A smaller model can beat a larger one on some tasks, while the reverse is true elsewhere. So routing is really a model selection problem, not just a difficulty estimation problem.

There's also a growing body of empirical work showing that routing can outperform fixed model setups on quality, cost, or both. We summarize that literature and point to the relevant results in our paper: https://t.co/hfsmVCdiPw and https://t.co/6cNUDdSMUV

To me, the frontier is how accurately we can learn:

request -> best model

Over the past year, vLLM Semantic Router has been exploring this from several angles: signal driven routing, context aware model pools, learned model selection, routing performance, and policy/runtime integration. I'm much more optimistic about Auto.

[Red Hat AI @RedHat_AI]

[vLLM Office Hours #34] AI-Powered vLLM Semantic Router - October 09, 2025 https://t.co/tMclEtaOG2

[Emerging Technologies Papers @ETN]

When to Reason: Semantic Router for vLLM. https://t.co/uuh0sqWIth

[Red Hat AI @RedHat_AI]

Next Thursday, October 3, join us for bi-weekly @vllm_project office hours to learn about the new AI Powered vLLM Semantic Router.

GitHub: https://t.co/tqHesjOXKd

Register for office hours: https://t.co/X8hAHYRBgT

[Jason Meaux @ CoRL 2026 @JasonMeaux]

Talks and demos will include:

• Getting started w/ vLLM — @wattsteve (PyTorch ambassador)
• Intermediate vLLM: PagedAttention, quant, spec decode, continuous batching — @luka_govedic (vLLM core)
• vLLM Semantic Router — Huamin Chen @root_fs (project creator)
• Scaling w/ llm‑d — Greg Pereira (maintainer)

[Red Hat AI @RedHat_AI]

New on the Red Hat Developer blog: vLLM Semantic Router – Improving Efficiency in AI Reasoning

An open source router that sends the right query to the right model, reducing cost and latency while maintaining accuracy.

Read here: https://t.co/egzeam4FHa

[Red Hat AI @RedHat_AI]

Austin friends - we’ve got something special coming up on Wednesday, September 17 at @CapitalFactory!

PyTorch ATX + vLLM are teaming up for a joint meetup. Over 200 folks are already signed up, and there’s still a few spots left. Come hang out, learn, and meet others building with LLMs. Here’s what’s on the agenda:

1⃣ Getting started with vLLM inference - Steve Watt, PyTorch ambassador (@wattsteve)
2⃣ Intermediate vLLM: PagedAttention, quantization, speculative decoding & more - Luka Govedič, vLLM committer (@luka_govedic)
3⃣ Semantic Router: Auto-reasoning router for efficient mixture-of-models inference – Huamin Chen, project creator (@root_fs)
4⃣ Scaling vLLM with Kubernetes + llm-d - Greg Pereira, maintainer

Sign up here: https://t.co/FPNaAoBXII

Please help us share the event 🙏

[Red Hat Open @redhatopen]

Next up in emerging tech - @somalley108 shows us how she uses Project Kepler to monitor power consumption in resource-constrained edge devices: https://t.co/Jdf8jTukin

[Daniel Oh @danieloh30]

In this episode of Technically Speaking with @kernelcdub, we explore the possibilities of more sustainable #cloudnative workloads with @KeplerProject and its co-founder @root_fs. Watch Now: https://t.co/s6zqYhvQva

[Huamin Chen @root_fs]

@sebi2706 @SimonHiker friends of kepler will help friends using kepler :D
please open GH issue when you hit one

[Red Hat Open @redhatopen]

What's next in green computing? @piparul and @root_fs explain the ins and outs of Project Kepler, the CNCF sandbox project that is bringing power monitoring to Kubernetes and beyond! https://t.co/Gu0NXEWX0t

[The New Stack @thenewstack]

The five steps to deploy #cloudnative sustainable foundation #AI models starts with the obvious two: #containers to manage the workloads and #Kubernetes to deploy across a distributed infrastructure. We talked about all the steps with @root_fs of @redhat. https://t.co/YX7KiUFQCh

[Huamin Chen @root_fs]

Kepler in #CNCF sandbox now https://t.co/oEb3nd87wk

[Jorge Palma @jorgefpalma]

@johanngyger @CaraDelia @root_fs Absolutely agree, I can say at least the folks talking today genuinely care. On the Microsoft and Azure side, we're doubling down in this space, more right after this and throughout summer!

[Huamin Chen @root_fs]

https://t.co/umpueZzoWQ

#CloudNativeCon #kedacore #Sustainability

[project_kepler @KeplerProject]

Get ready to explore sustainable computing with Kepler - the Kubernetes-based Efficient Power Level Exporter! Listen to an insightful conversation with @root_fs on Cloud7's Red Hat series. #sustainablecomputing #Kepler #Kubernetes

https://t.co/8g2nziqErG

[Gordon Haff @ghaff]

@root_fs of #redhat talks Project Kepler and measuring power usage at #KubeCon

[Huamin Chen @root_fs]

Accelerate Sustainable Computing with Community Collaboration - Cara Delia, Principal Community Architect Financial Services and Sustainability, Red Hat & Huamin Chen, Senior Principal Software Engineer, Red Hat at KubeCon + CloudNativeCon Europe 2023 https://t.co/u8Ar7sf6xF

[CNCF TAG Environmental Sustainability @CNCFEnvTAG]

THIS WEDNESDAY is the next meeting.

We will have Kepler (https://t.co/YIBOVmzvI9) presenting for the first half hour followed by KubeCon prep discussions.

[Cloud Native Now @ContainerJrnl]

At #MobileWorldCongress, Red Hat and IBM Research launched an open source project to capture power usage metrics from #Kubernetes clusters.
https://t.co/328z3vfbo3