📄 中文摘要
AI 技术的发展速度正在快速加快。硬件的进步、软件优化以及更好的数据集使得训练过程从以往需要数周的时间缩短至数小时。最近，AI 研究员 Andrej Karpathy 的更新清晰地展示了这一变化：Nanochat 开源项目现在能够在单个节点上使用 8 个 NVIDIA H100 显卡训练 GPT-2 模型，仅需 2 小时。这一进展标志着 AI 模型训练效率的显著提升，为研究人员和开发者提供了更为高效的工具。
Nanochat 现在可以在仅 2 小时内训练 GPT-2 级模型
出处: Nanochat Can Now Train a GPT-2 Level Model in Just 2 Hours
发布: 2026年3月9日
📄 English Summary
Nanochat Can Now Train a GPT-2 Level Model in Just 2 Hours
The rapid acceleration of AI development is evident through advancements in hardware, software optimization, and improved datasets, allowing training runs that previously took weeks to be completed in just hours. A recent update from AI researcher Andrej Karpathy highlights this shift: the Nanochat open-source project can now train a GPT-2 model on a single node using 8× NVIDIA H100 GPUs in just 2 hours. This advancement signifies a remarkable increase in the efficiency of AI model training, providing researchers and developers with more effective tools.