GPU simulation infrastructure for robotics
Push code.
Run simulations.
Ship robots.
Cold starts eat 3-5 minutes before a 10-minute sim even runs. Push to main and get results back automatically - no AWS config, no Terraform, no idle billing.
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.
- —GPU instances take 3-5 min to provision before a 10-minute sim run
- —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
- —Billed per hour even when your run takes 12 minutes
- —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.
Git-Native
Push to main. Every commit triggers a simulation run. Results land in minutes - your iteration loop is never bottlenecked by infrastructure.
Parallel Experiments
Fire 20 reward function variants simultaneously. Collect results, tune, repeat. Per-minute billing means parallel runs never cost you dead time.
Pay Per Simulation
No idle instances. GPU spins up when you push, tears down when it finishes. Run freely - typical experiment costs $0.05–$0.15.
Any GPU, On Demand
T4, A10G, A100 - pick the GPU that fits your sim. Spot instances keep costs 60-70% below on-demand.
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.
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