全栈 NIM 优化如何让 Nemotron 3 Ultra 多承载 2.5 倍用户
How Full-Stack NIM Optimizations Deliver 2.5x More Users on Nemotron 3 Ultra
NVIDIA 通过全栈 NIM 优化，使 Nemotron 3 Ultra 在相同 GPU 基础设施上可服务的并发用户数提升 2.5 倍。该优化针对生产级 LLM 部署中的并发与交互性权衡，对提示词长、跨步骤复用上下文的智能体 AI 负载尤为关键。
Deploying a large language model is only the first step toward production-ready serving. Production teams also need to serve as many concurrent users as...
Deploying a large language model is only the first step toward production-ready serving. Production teams also need to serve as many concurrent users as possible on available GPU infrastructure while preserving the interactivity that keeps applications responsive. That tradeoff matters even more for agentic AI workloads, where prompts can be long, context can be reused across steps…
来源：NVIDIA Developer Blog · developer.nvidia.com