新闻
Control How Your GPU Shares Work with Green Contexts
NVIDIA Developer · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- CUDA 13.1 adds green contexts, letting applications partition GPU resources like SMs and workqueues within a single process for explicit control.
- 为何重要
- Matters for engineers running multiple concurrent workloads on one GPU who need predictable latency or better resource isolation than stream priorities alone provide.
- 注意
- Green contexts require explicit API calls and resource planning; they trade total throughput for latency guarantees by dedicating SMs to specific workloads.
- kernel
- inference
- throughput
- latency
这条新闻背后的模式
- Agentic Context Engineering (Evolving Playbook)
- Concurrent Orchestration
- Context Engineering Frameworks
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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