Back before there were AI factories, there were two generations of the AI Bridging Cloud Infrastructure supercomputer, built ...

Dell Technologies, Lenovo and Supermicro executives explain to CRN how they are adapting to Nvidia’s annual AI chip release ...

Liberation Day tariffs challenge Nvidia's (NVDA) costs & supply chain in Asia. Strong AI and data center product demand may ...

芯片技术的演进正以前所未有的速度重塑科技行业，从手机到超级计算机，从自动驾驶到人工智能系统，芯片的性能、功耗和成本直接决定了整个行业的创新速度。随着摩尔定律的放缓，传统的单片集成方式已经难以满足日益增长的计算需求，而Chiplet技术作为一种新兴的技 ...

AI training is getting an optical upgrade. Learn how lasers and light are enabling billion-parameter models with 95% less power.

This milestone marks the first-ever multi-node MLPerf inference result on AMD Instinct™ MI300X GPUs. By harnessing the power of 32 MI300X GPUs across four server nodes, Mango LLMBoost™ has surpassed ...

Google Cloud offers a variety of GPUs, including NVIDIA K80, P4, V100, A100, T4, and P100, and each instance is optimized to balance memory, processing power, high-performance disk, and up to 8 GPUs ...

The model was trained over 3.5 months on the Jean Zay supercomputer in France using 384 NVIDIA A100 GPUs, made possible by a compute grant from the French ... and flash attention to optimize memory ...

I've been reviewing graphics cards for years now, and because I've gone hands-on with every GPU on this list ... issue as games get more demanding on memory, especially at higher resolutions.

作者：asher在人工智能的浪潮中，DeepSeek R1 凭借其卓越的性能与潜力，成为众多开发者和研究人员眼中的 ...