GPU-Accelerated Robotics Development

Build Robots in theCloud

A GPU-powered research cloud for embodied intelligence and robot learning. Access powerful workstations with ROS2, Gazebo, and ML tools pre-installed.

Start BuildingSee Features
50+
GPU Models
99.9%
Uptime SLA
<60s
Deploy Time
ros2@robotics-gpu:~$
$ ros2 launch gazebo_ros gazebo.launch.py
✓ Gazebo started successfully
$ ros2 run rviz2 rviz2
✓ RViz2 visualization ready
$ python train_model.py --gpu-accelerated
→ Training on RTX 4090 (24GB VRAM)
Epoch 1/100
65%
ROS2 Humble
Pre-installed & Configured
GPU Accelerated
Up to 8x H100 GPUs

Everything You Need for Robotics

Pre-configured environments with industry-standard tools and frameworks

ROS & ROS2

Pre-installed ROS Noetic and ROS2 Humble with all common packages

Simulation Tools

Gazebo, Isaac Sim, Webots, and CoppeliaSim ready to use

Remote Desktop

Full GUI access through browser. Run RViz, Gazebo GUI, and more

ML Frameworks

PyTorch, TensorFlow, CUDA toolkit for training robotics models

Developer Tools

VS Code, Git, Docker, and your favorite development tools

Fast Networking

Low-latency connections for real-time robot control and simulation

Secure & Private

Isolated instances with SSH access and encrypted connections

Auto-Scaling

Scale GPU resources up or down based on your workload needs

Choose Your GPU Power

From prototyping to production-scale training

Cheapest

RTX 3080

$0.08
per hour
10 GB VRAM
  • Ampere Architecture · NVIDIA GeForce RTX 3080 (Genesis Cloud)
  • 4 vCPUs · 16 GB RAM · 120 GB NVMe (expandable)
  • Optional 8 vCPU / 32 GB RAM configuration
Deploy Now
Popular

RTX 4090

$0.65
per hour
24 GB VRAM
  • Ada Lovelace Architecture
  • 16,384 CUDA Cores
  • PCIe 4.0 ready
Deploy Now
Studio

L40S 48GB

$1.45
per hour
48 GB VRAM
  • Ada Generation
  • 18,176 CUDA Cores
  • 142 Tensor TFLOPS
Deploy Now
Recommended

A100 40GB

$1.20
per hour
40 GB VRAM
  • Ampere Architecture
  • 6,912 CUDA Cores
  • NVLink Support
Deploy Now
Enterprise

H100

$3.50
per hour
80 GB VRAM
  • Hopper Architecture
  • 16,896 CUDA Cores
  • 3TB/s Memory Bandwidth
Deploy Now
Ultra

MI300X

$4.60
per hour
192 GB VRAM
  • AMD CDNA 3 Architecture
  • 8 GPU chiplets
  • 153B transistors
Deploy Now
Loved by Developers

See what robotics teams are building on Embodied Cloud Lab

Early-access startups, research labs, and enterprise robotics groups rely on our managed GPU workspace to ship production-ready autonomy faster.

NP
Noah Patel
Founder · FieldSense Robotics

"We hand the Embodied Cloud Lab login to new robotics engineers on day one. Their ROS 2 stacks, TensorDock GPUs, and remote desktop presets are all waiting for them so onboarding takes hours, not weeks."

Production pilots now launch 3 sprints faster because infra is pre-baked.
AM
Dr. Alicia Moreno
Director of Autonomy · Carnegie Robotics Lab

"Shared GPU pools with role-based access mean grad students can schedule Isaac Sim batches overnight while faculty keeps dedicated A100s online for demos."

Lab utilization climbed from 42% to 88% with zero extra admin load.
GI
Grace Iwasaki
Lead ML Engineer · VoxelWorks AI

"Supabase auth, Stripe billing, and the managed Postgres layer shipped day-one entitlements for our paying sandbox customers. We focus on policy learning, not plumbing."

MRR doubled after moving customer workloads into secure project spaces.
ML
Marcus Li
Head of Platform · Andromeda Autonomy

"Telemetry from Embodied Cloud Lab shows GPU health, ROS bag storage, and bandwidth in one panel, so my ops team can spot issues before pilots even ping us."

Support tickets dropped 61% because we resolve drift proactively.

Ready to Build Your Next Robot?

Get started in under 60 seconds. No credit card required for trial.

Start Free TrialView Documentation