首先，文章指出，dstack是一个专注于AI开发的计算资源管理工具，它不仅支持云资源，还通过ssh-fleet功能支...
dstack is a lightweight, open-source alternative to Kubernetes & Slurm, simplifying AI container orchestration with multi-cloud & on-prem support. It natively supports NVIDIA, AMD, & TPU. - dstackai/dstack
dstack is a lightweight, open-source alternative to Kubernetes & Slurm, simplifying AI container orchestration with multi-cloud & on-prem support. It natively supports NVIDIA, AMD, TPU, and Intel accelerators. - Release 0.18.38 · dstackai/dstack
That’s why dstack, a member of the Intel® Liftoff program for AI startups, is now adding support for Intel® Gaudi® AI Accelerators and integration with Intel® Tiber® AI Cloud. With this latest release, dstack supports the orchestration of co...
numpy中np.dstack()、np.hstack()、np.vstack()用法 posted @2023-09-27 10:18gbc阅读(35) 评论(0)编辑收藏举报
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type: task python: 3.11 env: - HUGGING_FACE_HUB_TOKEN - WANDB_API_KEY commands: - conda install cuda - pip3 install torch torchvision torchaudio - git clone https://github.com/OpenAccess-AI-Collective/axolotl.git - cd axolotl - pip3 install packaging - pip3 install -e '.[flash-attn...
Closes#2183 This PR improves server performance and documents the new server limits: Adds batch processing to background tasks to support more active resources without increased processing latency. Fixes some long write transactions. Some are left with comments since they happen rare and are not cri...
Use Requirements.json instead ofRequirements.dict+json.dumps, which fails on enums. Also remove sort_keys=True, which seems to be redundant. field order is preserved by .dict() and .json() etc. ht...
dstack is a streamlined alternative to Kubernetes and Slurm, specifically designed for AI. It simplifies container orchestration for AI workloads both in the cloud and on-prem, speeding up the development, training, and deployment of AI models. dstack is easy to use with any cloud provider as ...