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4 个仓库

Awesome GitHub RepositoriesGPU Provisioning Services

Services that provide on-demand access to high-performance graphics processing units for compute-intensive tasks like machine learning.

Explore 4 awesome GitHub repositories matching devops & infrastructure · GPU Provisioning Services. Refine with filters or upvote what's useful.

Awesome GPU Provisioning Services GitHub Repositories

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  • comfy-org/comfyuiComfy-Org 的头像

    Comfy-Org/ComfyUI

    117,227在 GitHub 上查看↗

    ComfyUI is a node-based generative AI orchestration engine designed for constructing, testing, and executing complex image and video synthesis pipelines. By utilizing a directed acyclic graph execution model, the platform allows users to build reproducible workflows through modular, interconnected processing blocks without requiring manual code implementation. It serves as both a local environment for high-performance model inference and a production-ready server for deploying generative capabilities. The platform distinguishes itself through its focus on workflow portability and extensibilit

    Enables the deployment of high-performance GPU instances with integrated security measures to execute compute-intensive AI inference tasks.

    Pythonaicomfycomfyui
    在 GitHub 上查看↗117,227
  • skypilot-org/skypilotskypilot-org 的头像

    skypilot-org/skypilot

    10,172在 GitHub 上查看↗

    SkyPilot is a multi-cloud AI orchestrator and distributed task scheduler designed to launch and manage AI workloads across various cloud providers, Kubernetes, and Slurm clusters. It functions as an infrastructure-as-code framework that uses declarative files to define resource requirements and setup commands for consistent execution across different environments. The project differentiates itself through automated cost optimization, selecting the most affordable GPU or TPU hardware and managing spot instances to reduce expenses. It also provides a remote development environment that bridges

    Locates and launches available GPU instances across multiple cloud providers and Kubernetes clusters.

    Python
    在 GitHub 上查看↗10,172
  • microsoft/computervision-recipesmicrosoft 的头像

    microsoft/computervision-recipes

    9,866在 GitHub 上查看↗

    This project is a collection of educational resources and implementation frameworks providing deep learning model recipes, code samples, and step-by-step guides for computer vision tasks. It organizes complex workflows into modular recipes and implementation guides to facilitate the building of image and video analysis models. The framework focuses on specialized vision capabilities, including an image similarity framework for fast retrieval and re-ranking, human pose estimation, and video action recognition. It also provides specific tools for crowd density estimation and document image clea

    Automates the provisioning of GPU-enabled virtual machines pre-configured with necessary vision libraries.

    Jupyter Notebookartificial-intelligenceazurecomputer-vision
    在 GitHub 上查看↗9,866
  • orchestra-research/ai-research-skillsOrchestra-Research 的头像

    Orchestra-Research/AI-Research-SKILLs

    3,641在 GitHub 上查看↗

    This project is an LLM research orchestrator and autonomous AI agent framework designed to automate the scientific lifecycle. It functions as an end-to-end research pipeline and model training toolkit, managing everything from initial literature reviews and hypothesis testing to the final drafting of academic papers. The system is distinguished by its ability to convert unstructured academic PDFs into machine-executable knowledge layers, allowing agents to reproduce and extend research findings. It employs a two-loop orchestration architecture and a specialized research engineering skill libr

    Automates the deployment of containerized compute resources and GPUs across multiple cloud providers with spot recovery.

    TeXaiai-researchclaude
    在 GitHub 上查看↗3,641
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