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align=\"center\"\u003e\u003ca href=\"https://tensor-fusion.ai\" target=\"_blank\" rel=\"noreferrer\"\u003e\u003cimg width=\"100%\" src=\"https://cdn.tensor-fusion.ai/logo-banner.png\" alt=\"Logo\"\u003e\u003c/a\u003e\u003c/p\u003e\n\n\u003cp align=\"center\"\u003e\n    \u003cbr /\u003e\u003cstrong\u003e\u003ca href=\"https://tensor-fusion.ai\" target=\"_blank\"\u003eGPUGo\u003c/a\u003e\u003c/strong\u003e\u003cbr/\u003e\u003cb\u003eUse Remote GPUs Like They Are Local\u003c/b\u003e\n    \u003cbr /\u003e\n    \u003ca href=\"https://tensor-fusion.ai/guide/overview\"\u003e\u003cstrong\u003eExplore the docs »\u003c/strong\u003e\u003c/a\u003e\n    \u003cbr /\u003e\n    \u003ca href=\"https://tensor-fusion.ai/docs/gpu-go/overview#gpu-go-overview\"\u003eView Demo\u003c/a\u003e\n    |\n    \u003ca href=\"https://github.com/NexusGPU/gpu-go/issues/new?labels=bug\u0026template=bug-report---.md\"\u003eReport Bug\u003c/a\u003e\n    |\n    \u003ca href=\"https://github.com/NexusGPU/gpu-go/issues/new?labels=enhancement\u0026template=feature-request---.md\"\u003eRequest Feature\u003c/a\u003e\n\u003c/p\u003e\n\n[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](LICENSE)\n[![Go Report Card](https://goreportcard.com/badge/github.com/NexusGPU/gpu-go)](https://goreportcard.com/report/github.com/NexusGPU/gpu-go)\n[![Release](https://img.shields.io/github/v/release/NexusGPU/gpu-go)](https://github.com/NexusGPU/gpu-go/releases)\n[![Discord](https://img.shields.io/discord/1234567890?color=7289da\u0026label=Discord\u0026logo=discord\u0026logoColor=ffffff)](https://discord.gg/2bybv9yQNk)\n\n**GPUGo** is the official CLI and client tool for [TensorFusion GPU Go](https://tensor-fusion.ai/products/gpu-go), designed to transform how you access and manage GPU resources. \n\nIt allows developers to treat remote GPUs (on servers, cloud instances, or colleagues' machines) as if they were attached to their local development environment.\n\nThink of it as **\"NFS for GPUs\"**: seamless, low-latency, and easy to manage.\n\n## 🌟 Highlights\n\n- **Zero Friction**: Spin up a local-first studio environment with one command and get instant access to remote GPUs.\n- **Cost Effective**: Share powerful GPU servers among multiple developers using [TensorFusion](https://github.com/NexusGPU/tensor-fusion)'s virtualization technology.\n- **Cross-Platform**: Works on macOS (Apple Silicon or Intel), Windows (WSL), and Linux.\n- **Flexible Backends**: Supports Docker, Colima, WSL, and Kubernetes for  for studio environments.\n- **VS Code Integration**: Full GUI management via the official extension.\n\n## 🚀 Quick Start\n\n### 1. Register \u0026 Get Started\n\n[Register and follow dashboard instructions](https://tensor-fusion.ai/auth/login?callbackUrl=%2Fdashboard) to get your account and access tokens.\n\n### 2. Install GPUGo Agent on GPU Host\n\nCopy the command from dashboard and run. You can see real-time onboarding progress on dashboard.\n\n**Optionally**, you can run in manual way\n\n```bash\ncurl -fsSL https://cdn.tensor-fusion.ai/archive/gpugo/install.sh | sh\n```\n```bash\n# 1. Register the agent using the token from the Dashboard\nggo agent register -t \"\u003ctoken-from-dashboard\u003e\"\n\n# 2. Start agent service\nggo agent start\n```\n\n### 4. Client Side: Use a Remote GPU\n\nCreate a **Studio** environment locally that is connected to the remote GPU.\n\n```bash\n# Login first, copy personal access token (PAT) from dashboard\nggo auth login\n\n# Create a studio environment connected to a remote GPU\nggo studio create my-project -s \"https://gpu.tf/s/share-code\"\n\n# Connect via SSH (automatically configures your ~/.ssh/config)\nggo studio ssh my-project\n```\n\n## 🧩 VS Code Extension (Recommended)\n\nPrefer a GUI? The **GPU Go VS Code Extension** provides a beautiful interface to manage your studios, agents, and workers.\n\n- [Open VSX Registry](https://open-vsx.org/extension/nexusgpu/gpu-go)\n- [VSCode Marketplace](https://marketplace.visualstudio.com/items?itemName=nexusgpu.gpu-go)\n\n👉 [Check out the VS Code Extension README](./vscode-extension/README.md)\n\n## 💬 Community \u0026 Contact\n\n- Discord channel: [https://discord.gg/2bybv9yQNk](https://discord.gg/2bybv9yQNk)\n- Discuss anything about TensorFusion \u0026 GPUGo: [Github Discussions](https://github.com/NexusGPU/gpu-go/discussions)\n- Contact us with WeCom for Greater China region: [企业微信](https://work.weixin.qq.com/ca/cawcde42751d9f6a29)\n- Email us: [support@tensor-fusion.com](mailto:support@tensor-fusion.com)\n- Schedule [1:1 meeting with TensorFusion founders](https://tensor-fusion.ai/book-demo)\n\n## 📄 License\n\nThis project is licensed under the Apache License 2.0 - see the [LICENSE](LICENSE) file for details.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnexusgpu%2Fgpu-go","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fnexusgpu%2Fgpu-go","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fnexusgpu%2Fgpu-go/lists"}