AI-ready dedicated compute for engineers, researchers, and technical teams. Local execution power with full Nebula Cloud ecosystem integration.
Dedicated AI Compute
A dedicated, GPU-enabled compute environment designed for AI, engineering, and technical workloads — with the full Nebula Cloud platform integrated.
Local or dedicated GPU compute for workloads that need predictable performance and data locality.
Pre-configured for model training, fine-tuning, and inference with optimized GPU drivers and frameworks.
Full Nebula Cloud Studio compatibility — same workflows, same capabilities, dedicated hardware.
Run any of the 11 Nebula Cloud Workbenches locally: GIS, CAD, AI/ML, Simulation, and more.
Keep sensitive data on-premises while leveraging Nebula Cloud orchestration and capability packs.
No shared resources, no noisy neighbours. Dedicated compute for consistent execution times.
How It Fits
Nebula Cloud AI PC complements Nebula Cloud — giving teams dedicated local execution while maintaining ecosystem connectivity.
Use Cases
Model training, fine-tuning, and evaluation on dedicated GPU without shared infrastructure constraints.
Process satellite imagery, run spatial analytics, and generate maps with local data control.
Parametric design, FEA simulation, and manufacturing workflows on responsive local compute.
HPC-class numerical simulation, CFD, and physics modelling with dedicated GPU acceleration.
Large dataset analytics, ML pipelines, and interactive dashboards on local infrastructure.
AI-assisted development with local LLM inference, CI/CD pipelines, and container workloads.
From intent to verified engineering artifact.