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Home / Technology / From Berkeley Lab to $400M AI Startup

From Berkeley Lab to $400M AI Startup

22 Jan

•

Summary

  • SGLang developers formed RadixArk, valued at $400 million.
  • RadixArk focuses on optimizing AI inference processing.
  • The startup is developing Miles for reinforcement learning.
From Berkeley Lab to $400M AI Startup

A significant portion of the team behind SGLang, a widely-used open-source tool for AI model training acceleration, has transitioned to a new commercial venture named RadixArk. This startup, announced last August, has reportedly achieved a valuation of about $400 million following a funding round led by Accel. RadixArk emerged from UC Berkeley's lab in 2023.

Ying Sheng, a primary contributor to SGLang and former engineer at xAI, is now the co-founder and CEO of RadixArk. The startup, like SGLang, concentrates on optimizing inference processing, a critical component for enhancing AI model speed and efficiency on existing hardware.

Alongside its continued development of SGLang, RadixArk is also creating Miles, a dedicated framework for reinforcement learning. This aims to empower businesses to progressively improve their AI models. While SGLang remains free, RadixArk has introduced fees for its hosting services, reflecting a growing trend in the AI inference infrastructure sector.

This story has been auto-aggregated and auto-summarised by a computer program. This story has not been edited or created by the Feedzop team.
Disclaimer:
RadixArk is a new startup founded by key developers from SGLang, an open-source AI model training tool. RadixArk continues to develop SGLang and focuses on optimizing AI inference.
RadixArk has been valued at approximately $400 million in a recent funding round led by Accel.
RadixArk aims to optimize AI inference processing for faster and more efficient AI models, and is developing Miles for reinforcement learning applications.

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