An NVIDIA Jetson Orin Nano 8GB Super, dedicated to you.
The Jetson Orin Nano 8GB Super is NVIDIA’s compact edge-AI module: 1024 CUDA cores and 32 Tensor cores on the Ampere architecture, delivering up to 40 TOPS of AI performance in a board that draws a fraction of the power of a GPU rig.
It runs ARM Linux — Ubuntu with NVIDIA’s JetPack SDK — so the full CUDA toolchain, cuDNN and TensorRT are there from first boot.
You get the whole board. Not a shared slice, not a virtualised GPU — a dedicated Jetson with all 8 GB of unified memory and every CUDA core to yourself.
We keep it powered, patched, and on a private network. You ssh in over Tailscale and treat it like any other Linux box — except this one accelerates your models.
Built for the AI work that wants real silicon.
ML inference
Serve models on dedicated CUDA cores. Predictable latency, no cold GPU queues, no per-token surprises.
Model testing
Benchmark and validate models on real NVIDIA hardware before you ship — the same stack you’ll deploy on.
Edge AI development
Develop for Jetson on a Jetson. What runs here runs on the edge device in the field.
The frameworks you use
PyTorch, TensorFlow, ONNX Runtime and TensorRT all run with CUDA acceleration out of the box.
Always-on jobs
Long-running training loops, batch inference, scheduled pipelines — it stays up so you don’t babysit it.
Private by default
Reachable only over Tailscale. No public IP, no exposed SSH, nothing for a scanner to find.
What’s under the hood.
- GPU
- 1024 CUDA cores · 32 Tensor cores · NVIDIA Ampere
- AI performance
- Up to 40 TOPS
- Memory
- 8 GB unified LPDDR5
- Operating system
- ARM Linux — Ubuntu with NVIDIA JetPack
- Access
- SSH over Tailscale — private, no public IP
- Toolchain (pre-installed)
-
Bare Linux + Tailscale, Python 3.13 and the CUDA toolkit.
CUDA ToolkitcuDNNTensorRTPyTorchPython 3.13
One board. One simple price.
- Dedicated NVIDIA Jetson Orin Nano
- 1024 CUDA cores · 40 TOPS
- 8 GB unified memory
- Ubuntu + JetPack, CUDA toolkit pre-installed
- SSH over Tailscale
- Managed updates & monitoring
Annual billing is paid upfront — two months free versus monthly. Cancel anytime, no notice period.
Four steps. Usually under 24 hours.
You sign up
Create an account and request a Jetson from your dashboard.
We provision
Fresh Ubuntu + JetPack, CUDA toolkit, Tailscale, your SSH key. Usually under 24 hours.
You connect
Join your tailnet and ssh straight in. No public IP, no port forwarding.
You get to work
Load your models, run inference, train. We keep the board running.