灵算云坊
原名：lambda-labs
按需GPU云实例，用于机器学习训练。
- 分类
- 开发提效
- 版本
- v1.0.0
- 作者
- 弈韬(@ra1nzzz)
- 下载
- 1
- 收藏
- 0
- 发布
- 2026-08-25
- 更新
- 2026-10-01
- TRACE 评分
- 3.8 / 5
内容概览
Guide to running ML workloads on Lambda Labs GPU cloud with on-demand instances and 1-Click Clusters. Use Lambda Labs when: - Need dedicated GPU instances with full SSH access - Running long training jobs (hours to days) - Want simple pricing with no egress fees - Need persistent storage across sessions - Require high-performance multi-node clusters (16-512 GPUs) - Want pre-installed ML stack (Lambda Stack with PyTorch, CUDA, NCCL) Key features: - GPU variety : B200, H100, GH200, A100, A10, A6000, V100 - Lambda Stack : Pre-installed PyTorch, TensorFlow, CUDA, cuDNN, NCCL - Persistent filesystems : Keep data across instance restarts - 1-Click Clusters : 16-512 GPU Slurm clusters with InfiniBand - Simple pricing : Pay-per-minute, no egress fees - Global regions : 12+ regions worldwide Use alternatives instead: - Modal : For serverless, auto-scaling workloads - SkyPilot : For multi-cloud or…