NVIDIA H100/H200 AI GPU是当前市场上最先进的AI计算硬件之一,它们在处理大量数据和复杂计算任务时会产生大量热量。为了确保这些GPU能够持续高效运行,冷却技术变得至关重要。本文将详细介绍NVIDIA H100/H200 AI GPU所采用的冷却技术,包括液体冷却系统和风冷系统的结合使用,以及这些技术如何确保GPU在高负载下的稳定性和性能。此外,我们还将探讨这些冷却技术在实际应用中的效果和未来可能的发展方向。
Related Articles
- NVIDIA to supply 64,000 new AI GPUs for OpenAI, Oracle's new Stargate AI supercomputer in Texas4 months ago
- Nvidia Hopper-based 100kW cluster deploys with 144 H200 GPUs — Exacluster features 192 96-core CPUs, 36TB DDR5 RAM, and 270TB of NVMe storage6 months ago
- OpenAI execs mused over Cerebras acquisition in 2017 — to mitigate predicted Nvidia supply woes8 months ago
- Google shares photos of liquid-cooled NVIDIA Blackwell GB200 NVL racks for AI cloud platform9 months ago
- BYD The Only Challenger To Tesla10 months ago
- JUPITER Exascale Supercomputer Starts Installation10 months ago
- Building NVIDIA's AI Supercomputer SuperPod: From H100 to GB20011 months ago
- Strategic compute and silicon expertise dictate AI architecturesabout 3 hours ago
- Nvidia's CUDA platform now supports RISC-V — support brings open source instruction set to AI platforms, joining x86 and Arm2 days ago
- U.S. legislators criticize decision to resume Nvidia H20 GPU shipments to China — demand new export rules for AI hardware3 days ago