DeepSpeed
DeepSpeed 是微软开源的深度学习优化库，核心是 ZeRO 分片：把优化器状态、梯度、参数按需切分到多卡，让单机多卡到上千卡的训练在有限显存下跑得起来，另含混合精度、激活检查点与推理加速组件。多数开源大模型的训练脚本都把它当成默认后端之一。 🔗 教程: https://www.deepspeed.ai/tutorials/ | GitHub Stars: 43k+
DeepSpeed is Microsoft's open-source deep learning optimization library, built around ZeRO sharding: optimizer states, gradients and parameters are split across devices so training scales from one node to thousands within a fixed memory budget, with mixed precision, activation checkpointing and inference acceleration alongside. Most open LLM training stacks ship it as a supported backend. 🔗 Tutorials: https://www.deepspeed.ai/tutorials/ | GitHub Stars: 43k+
📋 Product Info
🎯 Why This Tool
DeepSpeed belongs to the Open Source LLMs category on hedirbase. Tagged with: 分布式训练,显存优化,开源,深度学习.
DeepSpeed is Microsoft's open-source deep learning optimization library, built around ZeRO sharding: optimizer states, gradients and parameters are split across devices so training scales from one nod