新闻
Five Ways NVIDIA Co-Design Maximizes the Value of Every Byte in the AI Factory
NVIDIA Developer · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- NVIDIA describes five co-design techniques to maximize HBM utility in AI inference, achieving 30x throughput per megawatt on Vera Rubin versus GB300.
- 为何重要
- Matters for engineers optimizing large language model serving at scale, especially those running agentic workloads with tool calls and long context windows.
- 注意
- The 30x gain assumes specific agentic workload patterns with tool gaps and context reuse; results may differ significantly for other inference scenarios or batch profiles.
- kv cache
- token
这条新闻背后的模式
- Agentic Context Engineering (Evolving Playbook)
- Context Editing & Tool-Result Clearing
- KV Cache Optimization
每个模式都讲清楚技术如何运作、何时值得投入，以及在哪里会失效。
The Agent Architect
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