NVIDIA Blog· Amr Elmeleegy·· 8 小时前
NVIDIA 如何用全栈协同设计解决 AI 内存瓶颈
More Performance From Every Byte: How Full-Stack Codesign Solves AI’s Memory Challenge
事实摘要
NVIDIA 提出以全栈协同设计缓解 AI 工厂的 HBM 内存压力，从 Blackwell Ultra 到 Vera Rubin 平台，单 GPU 的 HBM 容量仅增约 3%，而在 SemiAnalysis AgentX 上每美元智能体吞吐量最高提升 30 倍。
原文与核验
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正文 · 原文摘要
Larger models, longer contexts and agentic applications are increasing GPU memory pressure while supply tightens and prices rise — a trend expected to continue through the near term. NVIDIA works closely with memory partners to rapidly adopt the latest memory technologies. NVIDIA was first to adopt HBM3e and HBM4 technologies into an accelerated computing stack. […]
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来源：NVIDIA Blog · blogs.nvidia.com
所属事件：英伟达称全栈协同设计缓解 AI 内存瓶颈