More Performance From Every Byte: How Full-Stack Codesign Solves AI’s Memory Challenge

原文摘要 · 中英对照

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. […]

更大的模型、更长的上下文和智能体应用正在增加 GPU 内存压力，同时供应趋紧、价格上涨——这一趋势预计在短期内将持续。NVIDIA 与内存合作伙伴紧密合作，快速采用最新内存技术。NVIDIA 率先将 HBM3e 和 HBM4 技术引入加速计算栈。