StepFun credits RadixArk for running Step 5 Preview production inference on SGLang
Overview
StepFun thanks RadixArk for helping power its Step 5 Preview in production with SGLang, the inference framework, and says the setup enables efficient, scalable inference for real-world workloads.
RadixArk says it helps run StepFun's first-party production API with SGLang at scale, using cache-aware routing. RadixArk also says Step 5 Preview has open weights and can be deployed with SGLang. These are the companies' own statements, and the report does not include independent performance measurements.
Written by AI from the articles below · updated Oct 15, 6:24 PM ET
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StepFun@StepFun_aiOfficialStepFun thanks RadixArk for powering Step 5 Preview with SGLang in productionAIStepFun thanks RadixArk for helping power Step 5 Preview in production with SGLang, which it says enables efficient, scalable inference for real-world workloads. RadixArk says it helps run StepFun's first-party production API with SGLang at scale, using cache-aware routing. RadixArk also says Step 5 Preview has open weights and can be deployed with SGLang.
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