Take Back Control of Your Compute
Companies lost control of their data and infrastructure to the cloud. Nerdit is the abstraction layer that turns your local GPUs into a sovereign, cloud-like platform. No DevOps required.
0 bytes leave your infrastructure.
Ever.
of your cloud data accessible to US authorities without notification.
of global revenue at risk if training data traceability is not ensured.
of enterprises suffered at least one cloud data breach in the past year.
Nerdit runs 100% on your hardware. No data leaves your network. No external telemetry. GDPR and AI Act compliant by design.
Cloud was the only choice.
It no longer is.
Cloud offered simplicity and scalability. Companies migrated by pragmatism — it was the rational move.
Vendor lock-in. Costs spiraling with 30% waste. Training data stored on foreign servers, out of your control.
€21B spent on cloud by the CAC40 alone. All of it subject to the CLOUD Act. No viable alternative — until now.
Cloud isn't a bad choice — it was the only one. Companies lack viable tooling to manage local infrastructure simply. That's what Nerdit changes.
A market in structural shift
Growth of European sovereign cloud IaaS market.
of organizations report positive ROI on data privacy investment.
of European CISOs changing cloud strategy for geopolitical reasons.
Everything you'd expect from the cloud.
Nothing leaves your network.
Enterprise-grade orchestration with a developer-friendly CLI.
5-Minute Setup
One command installs. Auto-detects GPUs, CUDA, Docker. No system dependencies beyond Python and NVIDIA drivers.
Auto-Healing
Crash detection and automatic recovery. Failed jobs retry with GPU reallocation. Your training keeps running.
Smart Scheduling
Priority queue with first-fit allocation. Jobs land on idle GPUs automatically. No manual assignment.
Real-Time Monitoring
Live utilization, temperature, VRAM tracking. One command for full cluster visibility.
Container Isolation
Every job runs in its own CUDA container. Workspace mounts, reproducible environments, zero conflicts.
Multi-Node Ready
Scale across machines with gRPC mesh networking. Add nodes to your cluster as you grow.
From install to training
in four commands.
Single binary. No system dependencies beyond Python, Docker, and NVIDIA drivers.
Auto-detects GPUs, CUDA version, and Docker runtime. Cluster ready in seconds.
Submit jobs with GPU requirements. Smart scheduler handles allocation.
Real-time utilization, job queue, and cluster health at a glance.
Ready to own your
compute?
Join the beta and help shape the future of local AI infrastructure.