Thanks to @radixark for helping power Step 5 Preview in production!
Great to see SGLang enabling efficient, scalable inference for real-world workloads. Excited to keep pushing the boundaries together.
StepFun thanks RadixArk for powering Step 5 Preview with SGLang in production
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StepFun 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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@StepFun_ai
Congratulations to @StepFun_ai on Step 5 Preview going open weights! RadixArk is proud to help power StepFun's first-party production API with SGLang at scale. Production inference means great token economics under strict latency requirements. SGLang and its cache-aware routing stack now bring that to Step 5 Preview in proven production traffic. Building with Step 5 Preview? Deploy with SGLang today!View quoted post on X
Source: StepFun · x.comPublished · added here