Nvidia open sources cuFile API, accelerating GPU read/write capability for high-speed storage

AI 中文解读

核心亮点：英伟达宣布开源cuFile接口，让AI读取数据的速度飙升到毫秒级，还拉上行业伙伴搞了个存储优化大计划。通俗解读：以前AI处理数据，CPU就像个中转站，硬盘里的数据要经过它再传给GPU，一来一回很费时间。现在英伟达把cuFile技术开源了，相当于给GPU开了条直通高速存储的“专属车道”，数据不用绕路，直接“嗖”地一下就能送到GPU嘴边。和伙伴们搞的“Storage-Next”计划，则是召集一帮专家，专门研究怎么把数据存储和AI计算的配合打磨得更顺滑。实际影响：对于我们普通用户来说，最直观的感受就是AI响应会更快，比如用AI生成图片、视频或者跑大模型时，等待时间会大大缩短。对企业而言，这项技术能大幅降低AI训练和推理的成本，让更多公司用得起高性能AI。未来我们使用各种AI应用时，体验会更流畅，AI处理复杂任务的能力也会更强。简单说，就是AI从“反应迟钝”变得“眼疾手快”，整个行业都能跑得更快了。

As artificial intelligence applications become ever hungrier for faster access to data, Nvidia Corp. today announced it is open-sourcing the application programming interface for its powerful cuFile vertical data storage stack, enabling millisecond data access. The company also announced a large-scale industry initiative with technology leaders to optimize memory and storage with Storage-Next. The initiative […] The post Nvidia open sources cuFile API, accelerating GPU read/write capability for high-speed storage appeared first on SiliconANGLE.