Compute built for Physical AI
What we provide
A compute foundation for the full physical AI model lifecycle
from first training run to deployment-ready model.
Training compute
Fine-tuning & post-training
Simulation & synthetic data
Training compute
Fine-tuning & post-training
Simulation & synthetic data
Pricing (On-demand, GPU-hour)
- NVIDIA HGX B300$8.50
- NVIDIA HGX B200$8.00
- NVIDIA HGX H200$5.50
- NVIDIA RTX PRO 6000$2.00
- NVIDIA L40S with Intel CPUfrom $1.80
- NVIDIA L40S with AMD CPUfrom $1.50
FAQ
Richtech Robotics' AI Compute services are under active development and offered subject to availability. Specifications, capabilities, and timelines may change. This page is for informational purposes only and is not an offer or commitment of service.
Who we work with
We work with early-stage robotics and physical AI teams across the world, building VLA models, world models, perception systems, and autonomous robot platforms.
What makes Richtech's AI Compute different?
A few things set our compute apart:
- One campus, fewer handoffs — data collection, GPU training, and robot validation sit together in our Las Vegas foundry, reducing the data movement that slows physical AI work.
- Built by a robotics company — Richtech designs, builds, and deploys its own commercial and industrial robots, so we build our compute services around workloads we run ourselves.
- From model to validation — beyond training, our facility includes space and hardware to test how models perform on real robots.
- Sized to your stage — engagement models designed for early-stage teams, not only hyperscale buyers.
What models and workloads can we run?
Our compute is built for the full physical AI model stack — vision-language-action (VLA) models, world models, vision-language models, perception and policy networks, and multimodal sensor-fusion models. Typical workloads include large-scale training, fine-tuning and post-training, reinforcement and imitation learning, synthetic data generation, and digital-twin simulation.
How do engagements work?
We offer compute as reserved or project-based capacity, sized to your stage. Whether you're generating synthetic data, training a foundation model, or fine-tuning a deployment policy, we'll help you scope the right setup. Pricing depends on configuration and term — reach out for a quote.
What is it built on?
Our AI Compute runs on enterprise-grade data center infrastructure and NVIDIA GPU platforms, including GPUs suited to NVIDIA Isaac Sim and Cosmos-class simulation workloads.