Event ·Multi-source

NVIDIA 在 PyTorchCon 2026 讲解智能体负载在 Vera Rubin 上的性能优化

NVIDIA 的 Ujval Kapasi 在 #PyTorchCon 2026 发表主题演讲，分析智能体工作负载对 PyTorch 技术栈的要求。一次请求可能触发长链推理、工具调用、代码执行、数据搬运和分布式推理，带来新的瓶颈。演讲以 Vera Rubin 为案例，覆盖 CPU、GPU、内存与网络的软硬件协同设计，并介绍 PyTorch、Triton 和 vLLM 在该平台上的软件优化工作。

Current read

NVIDIA 的人拆解了跑智能体负载时 PyTorch、Triton、vLLM 在 Vera Rubin 上的优化思路，做推理部署的可以看看。

11 sources58° AI heatLast updated 2026/10/20 17:44:56

Evidence

11 sources

Primary sourcePyTorch

2026/10/20 17:44:56View source

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Related source 10VTV Công nghệ

2026/10/20 09:54:00View source

Conflict check

Dedup data only shows that these sources discuss the same event, not that they agree. There is no structured supporting or refuting evidence yet, so no conflict is inferred automatically.

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