SGLang Becomes RadixArk in $400M Inference Play

So here's something interesting that just crossed my desk. Remember SGLang? That open source project from Ion Stoica's Berkeley lab? Well, it just transformed into RadixArk with a jaw-dropping $400 million valuation.

I've been watching the AI inference space heat up lately, and honestly, this move makes perfect sense. RadixArk isn't just another AI startup jumping on the bandwagon. These folks have been quietly building something that actually addresses real problems developers face when deploying AI models. And Accel clearly sees the potential, leading their funding round.

What's really caught my attention is the timing. The inference market is absolutely exploding right now in 2026. Every company wants to run AI models efficiently, but most struggle with the technical complexity and costs. RadixArk's approach, built on their SGLang foundation, promises to simplify this whole mess. They're essentially taking years of academic research and turning it into something businesses can actually use.

The $400 million valuation might sound crazy, but I've noticed inference optimization has become the new gold rush. Companies are desperate for tools that can make their AI deployments faster and cheaper. RadixArk's Berkeley pedigree gives them serious credibility too. Ion Stoica's involvement alone opens doors that most startups can only dream about.

Will they live up to the hype? Hard to say. But with Accel's track record and the team's technical chops, I wouldn't bet against them. The real test comes when enterprises start integrating their tech at scale.