NaniteThe AI-First OS for Engineers, Hackers, and Vibe Coders

Run, build, and interact with AI models natively on a Debian-based OS designed for productivity, autonomy, and creativity.

Nanite - AI Development Platform
Efficient & Organized
AI-Powered
Lightning Fast
2.5K+
Developers Waitlisted
100+
AI/ML Libraries
< 5min
Boot to Code Time
99.9%
System Stability

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Why Developers Choose Nanite

Experience the perfect blend of power, simplicity, and innovation that's transforming how AI is built.

Debian Stability

Built on rock-solid Debian foundation with enterprise-grade reliability and security for production AI workloads.

GPU-Accelerated AI

Native CUDA and ROCm support with optimized drivers for NVIDIA and AMD GPUs, maximizing AI computing performance.

LLM Interface

Direct integration with OpenAI, Anthropic, and local models through unified command-line and API interfaces.

Pre-installed AI Stack

PyTorch, TensorFlow, Jupyter, Docker, and 100+ AI/ML libraries ready out-of-the-box with optimized configurations.

Developer-First Tools

VS Code, Vim, Emacs, Git, SSH, and modern development tools configured for AI/ML workflows.

Security & Privacy

End-to-end encryption, secure boot, and privacy-focused design keeping your AI models and data protected.

Powered by Industry Leaders

Built with Industry Standards

Powered by the most trusted frameworks and technologies in AI development, ensuring reliability and performance at scale

Debian logo

Debian

Stable Linux foundation

PyTorch logo

PyTorch

Deep learning framework

TensorFlow logo

TensorFlow

ML platform

Docker logo

Docker

Containerization

CUDA

GPU acceleration

Jupyter logo

Jupyter

Interactive computing

Production Ready
Enterprise Grade
Open Source

Experience the Power of Nanite

See how easy it is to perform complex AI tasks with simple commands

nanite-terminal
zsh
$ nanite --version
Nanite v2.1.0 - AI Development Platform
$ nanite create my-vision-project --template computer-vision
✨ Creating computer vision project...
📦 Setting up YOLO, OpenCV, PyTorch...
✅ Project created in 45 seconds!
$ cd my-vision-project && nanite install ultralytics opencv-python
🔄 Installing optimized packages...
├── ultralytics@8.1.0 (GPU optimized)
└── opencv-python@4.8.1 (CUDA enabled)
✅ Dependencies installed in 8.7s
$ nanite run --model yolov8n --input camera --display
🚀 Loading YOLOv8 nano model...
📹 Camera input detected: /dev/video0
🎯 Real-time object detection active
Detected: person (0.92), car (0.85), dog (0.78) FPS: 60 | GPU Memory: 2.1GB/8GB | Inference: 12ms
✅ Running at 60 FPS on RTX 4070
$ nanite deploy --edge --optimize
☁️ Optimizing model for edge deployment...
⚡ TensorRT optimization complete
🚀 Deployed at: https://vision-api.nanite.app
📊 Edge latency: ~3ms | 99.9% uptime
$

Zero Setup

Start building AI applications instantly without complex environment configuration

GPU Accelerated

Automatic GPU optimization for training and inference with CUDA support

One-Click Deploy

Deploy your models to production with a single command, no DevOps required

See Nanite in Action

Experience the power of AI-native development workflows

nanite-demo.mp4
Live Demo

Featured in Demo:

  • Zero-setup AI environment
  • GPU-accelerated training
  • Native LLM integration
  • One-click deployment

Performance That Speaks

Real benchmarks from real AI development workflows

Boot to Code

Traditional:15-30 min
Nanite:< 3 min
85% faster

Model Training Setup

Traditional:2-4 hours
Nanite:< 10 min
95% faster

GPU Utilization

Traditional:60-70%
Nanite:95%+
35% better

Memory Efficiency

Traditional:Standard
Nanite:Optimized
40% more efficient

* Benchmarks based on real-world AI development scenarios. Results may vary by hardware configuration.

Frequently Asked Questions

Everything you need to know about getting started with Nanite

View Full Documentation