Beta Now Available

The Engine of
Local AI

Transform your GPU hardware into a private cloud. Setup in 5 minutes. Save 60-80% vs AWS.

Join Beta AccessGet in Touch
60-80%
Cost Savings
5min
Setup Time
100%
Local Privacy
terminal
_

The GPU Crisis

GPUs are powerful, but complexity kills productivity

40%
Wasted Capacity
Average GPU utilization over their lifecycle. Your hardware is underperforming.
10%
Time Lost
Of data science time spent on cluster configuration instead of innovation.
+15%
Cloud Costs
YoY price increase on AWS. GPU shortage means cloud pricing keeps climbing.

Built for ML Teams

Enterprise-grade orchestration with developer-friendly UX

Simple Setup

CUDA, Python, dependencies configured automatically. Clear fallbacks for edge cases.

Auto-Healing

Crash detection and automatic session recovery. Your jobs keep running.

Multi-Cluster

Scales across nodes effortlessly. CI/CD pipeline integration built-in.

Real-Time Monitor

Live logs, intelligent queue management, resource tracking dashboard.

Join the Beta

Get early access and help shape the future of local AI infrastructure

We'll reach out to get you started

Early Access
Premium Support
Shape the Roadmap

Frequently Asked Questions

Which GPUs does NERDIT support?

NERDIT works with all modern NVIDIA GPUs (RTX 3000/4000 series, A-series, H-series). We support CUDA 11.x and 12.x. AMD GPU support is on our roadmap.

What technical level is required?

If you can run `python train.py`, you can use NERDIT. Our CLI abstracts away the complexity. No DevOps or MLOps expertise required.

What's the pricing after beta?

Beta testers get lifetime discounts. Production pricing will be subscription-based (~€499/month per cluster). Enterprise plans available with SLA and priority support.

Can I use NERDIT with cloud GPUs?

Yes! NERDIT works with any CUDA-compatible GPU, whether on-premise or cloud. Many teams use it to orchestrate hybrid infrastructure.