GPU simulation infrastructure for robotics
Push code.
Run simulations.
Ship robots.
Connect your repo, push to main, and get physics simulation results back automatically. No AWS config. No Terraform. No GPUs to babysit.
Works with the tools you already use
The problem
You shouldn't need a DevOps team to run a simulation
Robotics teams burn weeks on GPU infrastructure before writing a single line of sim code. We built the fix.
- —Provision GPU instances manually
- —Install NVIDIA drivers, CUDA, Docker, Isaac Sim
- —Configure IAM roles, security groups, VPCs
- —Write Terraform for a single simulation
- —Build custom CI/CD from scratch
- —Pay for idle instances you forgot to kill
- —Debug cloud infra instead of robots
- Connect your GitHub repo
- Push to main
- Simulations run on cloud GPUs
- Results appear in your dashboard
- Pay only for compute time used
- Infrastructure scales with your team
- Focus entirely on building robots
How it works
Three steps. Two minutes. Zero infrastructure.
Connect your repo
Sign up with GitHub and install the Simbiotic app on your repository. One click — no config files needed.
Push your code
Write your simulation — Isaac Sim, Gazebo, MuJoCo. Push to main like you always do.
Get results
GPU spins up, runs your sim headlessly, captures metrics, tears down. Results land in minutes.
In action
One push. Everything happens.
Capabilities
Everything your sim pipeline needs
Built by robotics engineers, for robotics engineers.
Any GPU, On Demand
T4, A10G, A100 — pick the GPU that fits your sim. Spot instances keep costs 60-70% below on-demand.
AMI Caching
First run snapshots your environment. Subsequent runs boot from cache — cold start drops from 30 minutes to under 3.
Git-Native
Push to main. Every commit triggers a simulation run. Results are linked to the commit that produced them.
Metrics Dashboard
Track cycle time, throughput, error rates, collision events. Spot regressions before they reach hardware.
Fully Isolated
Every team gets dedicated cloud resources. Your data, models, and AMIs — never shared, never co-mingled.
Pay Per Simulation
No idle instances. GPU spins up when you push, tears down when it finishes. Typical run: $0.05 – $0.15.
Pricing
Simple, honest pricing
Pay only when your simulations run. No idle instances, no reserved capacity, no surprise bills.
Plus $0.40 / GPU hour consumed. Cancel anytime.
- Unlimited GPU hours
- Unlimited repositories
- T4, A10G, or A100 GPUs
- AMI caching — boots in under 3 minutes
- Metrics dashboard + run history
- Slack & webhook alerts
- Fully isolated cloud resources
- Priority support — direct Slack with the founders
Typical 20-episode run costs ~$0.08 and takes 18 minutes.
An always-on GPU instance for the same workload costs $380/month before you write a line of sim code.
Now onboarding founding teams
Stop managing GPUs.
Start shipping robots.
Connect your repo in two minutes. We handle the rest — GPU provisioning, sim execution, metrics, teardown. You just push code.
$99/month · founding team pricing · cancel anytime