JarvisLabs GPU pricing

JarvisLabs is a developer-focused GPU rental platform for AI, ML and deep-learning experiments. It fits users who want quick GPU instances, templates, JupyterLab, VS Code Web or SSH, and pay-as-you-go billing without long commitments. Public pages emphasize per-minute billing, paused-instance storage-only charges and GPU rentals in India and Finland.

Live JarvisLabs prices (2026-07-08)

Cheapest listed per-GPU-hour rates verified at the source. Before storage, egress and networking.

Pricing model

JarvisLabs' pricing page says the cloud is billed per minute with no commitments. The homepage FAQ says users are charged only while the rented GPU instance is running, and paused instances incur storage charges only. Payment is handled through Stripe, and the public FAQ says there is no free trial, though new users can start with a low top-up.

Capacity tiers

JarvisLabs presents templates and virtual machines rather than a complex enterprise capacity system. The pricing page says users can boot a template quickly or a VM in under the published target time, and scale up to 8 GPUs per instance. This makes JarvisLabs more appropriate for individual developers, small teams and notebook-style workflows than for large reserved training clusters.

GPU lineup

JarvisLabs publicly lists NVIDIA H100 SXM, A100-80GB, RTX6000 Ada, A100, A6000, A5000, RTX5000 and L4 across its homepage and pricing page. Current capacity is shown as live capacity across India and EU regions. Because inventory can move quickly, verify the dashboard before planning a specific model or multi-GPU size.

Storage, egress and hidden costs

JarvisLabs publishes instance-storage pricing and says paused instances only incur storage fees. The FAQ says deleting an instance is permanent and data cannot be recovered, after which no further charges apply. Public ingress and egress pricing was not found in the official public pages reviewed. Not publicly documented.

Reliability and support posture

JarvisLabs says rented GPU instances run in isolated environments with private networking. The FAQ says support covers the lifecycle of rented GPU instances, while framework-specific open-source tool support is best effort. A public uptime SLA or service-credit policy was not found in the official public pages reviewed. Not publicly documented.

Free credits and referral programs

JarvisLabs says it does not offer a free trial. A current public referral program or fixed startup-credit program was not found in the official public pages reviewed. Not publicly documented.

Who should pick JarvisLabs

Pick JarvisLabs if you want a simple GPU rental experience for experiments, fine-tuning, rendering or notebook-style deep-learning work. It is a good fit when per-minute billing, pause-and-resume workflows and quick templates matter more than enterprise procurement. For production workloads, verify region availability, storage retention behavior, egress terms and SLA requirements before relying on it.

FAQ

Profile verified 2026-07-06. Sources: jarvislabs.ai · jarvislabs.ai · docs.jarvislabs.ai