JarvisLabs is a GPU cloud platform that enables AI developers to rent high-end NVIDIA GPUs on demand for deep learning, LLM fine-tuning, and other GPU-accelerated workloads. The platform offers H100, H200, A100, and RTX series GPUs with per-minute billing and no minimum commitments. Users can launch pre-configured environments in under 90 seconds from templates for frameworks like PyTorch, TensorFlow, ComfyUI, and Automatic1111. Instances can be managed via a web UI, CLI, or Python SDK, with support for JupyterLab, VS Code Web, SSH, and custom endpoints for deploying models via Gradio, Streamlit, or FastAPI. The service also includes a managed runs feature for uploading code, installing dependencies, and streaming logs from the terminal. JarvisLabs is trusted by over 27,000 AI developers and companies including Tesla, Hugging Face, and Kaggle, with instances available in India and Finland.
Key Features
- On-Demand GPU Instances: H100, H200, A100, RTX 6000 Ada, A6000, A5000, RTX 5000
- Quick Launch: Pre-configured templates, under 90-second instance launch
- CLI & SDK: Create, pause, resume, destroy instances; run scripts; transfer files
- Multiple Access Methods: JupyterLab, VS Code Web, SSH, custom endpoints
- Per-Minute Billing: Pay only for running time; paused instances incur storage fees only
- Uptime SLA: 99.9% uptime guarantee
Who It’s For
AI researchers, ML engineers, data scientists, and teams needing flexible, cost-effective GPU compute for training and inference.