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English(EN) How NVIDIA’s Inference Software Stack Powers the Lowest Token Cost

NVIDIA的软件栈在Blackwell平台上大幅降低AI推理每token成本

NVIDIA正在强调其为Blackwell平台优化的集成软件栈如何显著降低AI推理的每token成本。通过协调生产运营、应用加速和基础设施访问,NVIDIA的软件栈实现了复合性能提升,使DeepSeek V4等模型的每token成本降低高达5倍。Baseten、Cognition、Deep Infra和Together AI等公司正在利用包括TensorRT-LLM等库和NVIDIA Dynamo等框架在内的该软件栈,以提高效率和扩展其AI工作负载。 AI

影响 优化AI推理成本和性能,可能加速企业采用代理式AI工作负载。

排序理由 文章详细介绍了NVIDIA现有的软件栈如何在其硬件上提高AI推理的性能和成本效益,而不是发布新产品或模型。

在 NVIDIA Blog 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

NVIDIA的软件栈在Blackwell平台上大幅降低AI推理每token成本

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文章详细介绍了NVIDIA现有的软件栈如何在其硬件上提高AI推理的性能和成本效益,而不是发布新产品或模型。
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报道来源 [1]

  1. NVIDIA Blog TIER_1 English(EN) · Amr Elmeleegy ·

    NVIDIA 的推理软件栈如何实现最低的代币成本

    As organizations move from AI pilots to production AI factories, infrastructure decisions have shifted from peak chip specifications to cost per token: how many useful tokens they can deliver per dollar, per watt and within required latency targets. Codesigned with NVIDIA GPUs, C…