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Open-source reasoning engine SGLang team completes $100 million seed round funding, led by Accel
According to Beating Monitoring, the team behind the open-source inference engine SGLang has officially established a company, RadixArk, completed a $100 million seed round of funding, with a post-investment valuation of $400 million. Accel led the investment, Spark Capital co-led, NVIDIA (through NVentures) and AMD, two chip competitors, also participated, and MediaTek is among the investors.
SGLang is an intermediate layer between models and hardware, reducing AI inference costs by more efficiently scheduling VRAM. The project was launched in 2023 and currently processes trillions of tokens daily for Google, Microsoft, NVIDIA, Oracle, xAI, and others. RadixArk also operates another open-source project, Miles, focused on large-scale reinforcement learning training, which has been used for MoE (Mixture of Experts, a model architecture that activates only part of the parameters to reduce computation).
The company was founded by Zhu Banghua and Sheng Ying. The funding will be used to expand the two open-source projects, support more model architectures and hardware platforms, and launch enterprise-oriented managed infrastructure services.