Kubernetes for Simulation

Deploy Large Fleets of Drone Sims
At Cloud Scale

Run thousands of drone simulations in parallel on Kubernetes. Perfect for reinforcement learning, fleet testing, and CI/CD automation.

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1000+

Concurrent Simulations

100x

Training Speedup

99.9%

Uptime SLA

Features

Enterprise-Grade Simulation Infrastructure

Built on Kubernetes for reliability, scalability, and efficiency.

Massive Scale

Deploy hundreds or thousands of drone simulations in parallel. Test fleet behaviors at scale before production.

Auto-Scaling

Kubernetes automatically scales your simulation workloads based on demand. Pay only for what you use.

Distributed Training

Run reinforcement learning experiments across multiple nodes. Accelerate training by 10-100x.

Resource Optimization

Intelligent resource allocation ensures optimal GPU and CPU utilization across your cluster.

One-Click Deploy

Pre-configured Helm charts and operators. Get from zero to running simulations in minutes.

Containerized Sims

Each simulation runs in isolated containers. Reproducible, portable, and version-controlled.

Use Cases

What You Can Achieve

From research to production, at any scale.

Reinforcement Learning

Train autonomous behaviors with millions of simulation episodes running in parallel.

100x faster training
Distributed PPO/SAC/TD3
Auto-checkpointing

Fleet Testing

Test swarm coordination, collision avoidance, and mission planning at scale.

1000+ concurrent drones
Network simulation
Failure injection

CI/CD Integration

Automated simulation tests for every code commit. Catch bugs before deployment.

GitHub Actions ready
Automated reporting
Regression detection

How It Works

Deploy with Helm, scale with Kubernetes operators, monitor with built-in observability.

Install the Operator

One Helm command deploys the TensorFleet operator and CRDs to your cluster.

helm install tensorfleet tensorfleet/operator

Define Your Fleet

Create a DroneFleet resource specifying drone count, sim type, and training config.

kubectl apply -f drone-fleet.yaml

Scale & Monitor

Auto-scaling kicks in based on demand. Monitor with Prometheus, Grafana, and built-in dashboards.

Technical Specifications

Supported Simulators

• Gazebo (Classic & Garden)
• PX4 SITL
• ArduPilot SITL
• Custom simulators via API

Cloud Platforms

• AWS EKS
• Google GKE
• Azure AKS
• Self-hosted K8s

ML Frameworks

• Ray RLlib
• Stable Baselines3
• Custom PyTorch/TF
• Horovod distributed training

Observability

• Prometheus metrics
• Grafana dashboards
• OpenTelemetry tracing
• Custom webhooks

Early Access

Join the TensorFleet waitlist

Tell us your use case—get docs, samples, and adapters as they ship.

Deploy Large Fleets of Drone SimsAt Cloud Scale