https://github.com/nexusgpu/tensor-fusion-site
TensorFusion landing page and product docs
https://github.com/nexusgpu/tensor-fusion-site
ai cuda gpu gpu-acceleration gpu-management gpu-monitoring gpu-pooling gpu-sharing gpu-usage gpu-virtualization nvidia nvidia-cuda pytorch rcuda tensorflow
Last synced: 9 months ago
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TensorFusion landing page and product docs
- Host: GitHub
- URL: https://github.com/nexusgpu/tensor-fusion-site
- Owner: NexusGPU
- License: apache-2.0
- Created: 2024-11-12T23:43:54.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-06-16T07:27:10.000Z (10 months ago)
- Last Synced: 2025-06-17T19:03:47.236Z (10 months ago)
- Topics: ai, cuda, gpu, gpu-acceleration, gpu-management, gpu-monitoring, gpu-pooling, gpu-sharing, gpu-usage, gpu-virtualization, nvidia, nvidia-cuda, pytorch, rcuda, tensorflow
- Language: Vue
- Homepage: https://tensor-fusion.ai
- Size: 1.59 MB
- Stars: 6
- Watchers: 0
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
TensorFusion.AI
Next-Generation GPU Virtualization and Pooling for Enterprises
Less GPUs, More AI Apps.
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# ♾️ Tensor Fusion
[![Contributors][contributors-shield]][contributors-url]
[![Forks][forks-shield]][forks-url]
[![Stargazers][stars-shield]][stars-url]
[![Issues][issues-shield]][issues-url]
[![MIT License][license-shield]][license-url]
[![LinkedIn][linkedin-shield]][linkedin-url]
Tensor Fusion is a state-of-the-art **GPU virtualization and pooling solution** designed to optimize GPU cluster utilization to its fullest potential.
This repo is for TensorFusion official website and documentation. Check out the main repo for further information: [NexusGPU/tensor-fusion](https://github.com/NexusGPU/tensor-fusion)
## 🚀 Quick Start
### Onboard Your Own AI Infra
- [Getting Started on Kubernetes](https://tensor-fusion.ai/guide/getting-started/deployment-k8s)
- [Getting Started on VM](https://tensor-fusion.ai/guide/getting-started/deployment-vm)
- [Deploy Self-hosted Community Edition](https://tensor-fusion.ai/guide/recipes/deploy-k8s-local-mode)
### Try it out
- Explore the demo account: [Demo Console - Working in progress](https://app.tensor-fusion.ai?hint=demo)
- Run following command to try TensorFusion out in 3 minutes
```bash
# Step 1: Install TensorFusion in Kubernetes
helm install --repo https://nexusgpu.github.io/tensor-fusion/ --create-namespace
# Step 2. Onboard GPU nodes into TensorFusion cluster
kubectl apply -f https://raw.githubusercontent.com/NexusGPU/tensor-fusion/main/manifests/gpu-node.yaml
# Step 3. Check if cluster and pool is ready
kubectl get gpupools -o wide && kubectl get gpunodes -o wide
# Step3. Create an inference app using virtual, remote GPU resources in TensorFusion cluster
kubectl apply -f https://raw.githubusercontent.com/NexusGPU/tensor-fusion/main/manifests/inference-app.yaml
# Then you can forward the port to test inference, or exec shell
```
### 💬 Discussion
- Discord channel: [https://discord.gg/2bybv9yQNk](https://discord.gg/2bybv9yQNk)
- Discuss anything about TensorFusion: [Github Discussions](https://github.com/NexusGPU/tensor-fusion/discussions)
- Contact us with WeCom for Greater China region: [企业微信](https://work.weixin.qq.com/ca/cawcde42751d9f6a29)
- Email us: [support@tensor-fusion.com](mailto:support@tensor-fusion.com)
- Schedule [1:1 meeting with TensorFusion founders](https://tensor-fusion.ai/book-demo)
[contributors-shield]: https://img.shields.io/github/contributors/NexusGPU/tensor-fusion.svg?style=for-the-badge
[contributors-url]: https://github.com/NexusGPU/tensor-fusion/graphs/contributors
[forks-shield]: https://img.shields.io/github/forks/NexusGPU/tensor-fusion.svg?style=for-the-badge
[forks-url]: https://github.com/NexusGPU/tensor-fusion/network/members
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[stars-url]: https://github.com/NexusGPU/tensor-fusion/stargazers
[issues-shield]: https://img.shields.io/github/issues/NexusGPU/tensor-fusion.svg?style=for-the-badge
[issues-url]: https://github.com/NexusGPU/tensor-fusion/issues
[license-shield]: https://img.shields.io/github/license/NexusGPU/tensor-fusion.svg?style=for-the-badge
[license-url]: https://github.com/NexusGPU/tensor-fusion/blob/master/LICENSE
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[linkedin-url]: https://www.linkedin.com/company/tensor-fusion/about