阶跃星辰感谢 RadixArk 用 SGLang 支撑 Step 5 Preview 生产推理
Thanks to @radixark for helping power Step 5 Preview in production!
阶跃星辰（StepFun）发帖感谢 RadixArk 帮助在生产环境中支撑 Step 5 Preview，并称 SGLang 为真实工作负载提供了高效、可扩展的推理能力。被引用的 RadixArk 帖子则祝贺 Step 5 Preview 开放权重，并表示其用 SGLang 为阶跃星辰的第一方生产 API 提供规模化支持。
查看原帖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.…
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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!
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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.