精选理由
做大规模 AI 推理部署的团队，NVIDIA 的全栈优化思路直接关系到成本与性能，值得关注其协同设计方法。
NVIDIA 强调大规模智能体推理需要平衡模型算法、软件和计算三方面效率。其全栈平台通过计算、网络、存储和内存的极致协同设计，持续优化这些输入。该平台还拥有覆盖数百万开发者的广泛生态系统支持。最终实现更低的每 Token 成本、更高的吞吐量和更可扩展的 AI 系统。
原文 · NVIDIA AI
Delivering agentic inference at scale requires bal…
Delivering agentic inference at scale requires balancing efficiency across:
1) Models and algorithms 2) Software 3) Compute
Our full-stack platform continuously optimizes for these inputs using extreme co-design across compute, networking, storage, and memory. Plus, software with broad ecosystem support across millions of developers.
The result: lower cost per token, higher throughput, and more scalable AI systems.