Jarvislabs is an AI cloud platform that helps developers, researchers, and businesses access GPU computing for machine learning, deep learning, and AI applications. Its services span the development and deployment stack, allowing customers to rent GPU virtual machines, launch multi-node clusters, use ready-to-run software templates, and share filesystems across instances. VMs provide root access and support custom environments, while clusters are designed for large-scale training.

For inference, Jarvislabs offers hosted model APIs, managed endpoints for open models, and serverless deployments using customer-selected serving tools. The platform also provides a command-line interface and Python tools for managing compute, storage, networks, and deployments. Customers can choose GPUs including H200, H100, A100, L4, B200, and RTX Pro 6000 options, with pay-as-you-go, per-minute billing and no minimum commitment.

Jarvislabs emphasizes rapid instance launches, private networking, security controls, and customer support. The company reports serving more than 27,000 AI developers and over 50 million GPU hours, and shares customer stories from teams using its infrastructure for training and production inference