Trusted by companies including: Tesla, Hugging Face, Kaggle, Zoho, Weights & Biases, upGrad, Saama, Lossfunk
Pick this when a container isn’t a machine.
Pick this when you want to start training right away.
Private networking, network file storage, and shared team billing. The layer under your workload, not an add-on.
Drive templates, VMs, and deployments from the command line or Python, with the same workflow across all three.
Create, pause, resume, and destroy GPUs from the CLI or Python.
jl create --gpu A100Upload code, install deps, run scripts and stream logs, all in one command.
jl run train.py --gpu A100Copy files and SSH into instances without leaving your terminal.
jl ssh <id>Let Claude Code, Cursor, or Codex drive GPU experiments.
jl setupbash$ pip install jarvislabs“The cheapest would probably be Jarvis Labs. They're very popular in our community. https://jarvislabs.ai”
“Looking to run a bigger model on GPU at a cheaper price, give @jarvislabsai a try and thank me later 😀 Got my machine up and running in a few mins 🔥 Thank you @vishnuvig!”
“If you haven't tried http://jarvislabs.ai you should. Fast start times, well priced, simple UI, easy billing. I have always chosen between config crap, expensive price, or long launch times. This is the first platform that I've seen that I think gets all of these items right!”
“The incredible https://jarvislabs.ai by @vishnuvig IMO offers one of the best pricing for renting compute 💰 TIL that they are completely bootstrapped & operate out of India! 🙏 It's really fulfilling to hear one of the best startups from @fastdotai classroom is from the country!”
“@jarvislabsai is the best GPU cloud provider for DL practitioners out there, period. More than once I had a question and support helped me in minutes, not only fast but so so friendly...”
“Addict to @jarvislabsai. Less branded than others on the surface but super simple. Great GPUs (training on 8 x A100s is amazing). This beats Paperspace premium accounts, Colab with custom VMs... I loved RunwayML as well ...”
Pay by the minute with no minimum commitment, and only for storage while paused.
Sign up, top-up your credits, select your preferred GPU (e.g., A100, H100), and launch your instance. Within minutes, you’ll have a fully configured environment ready for AI training or any GPU-accelerated workload.
We don’t offer a free trial, but you can start exploring with as little as $10. Our pay-as-you-go model ensures you only pay when you rent a GPU and use it.
You’re charged only for the time your rented GPU instance is running. When paused, you pay solely for storage. Our per-minute billing means no hidden fees or commitments.
A template is a pre-built container with a primary framework (e.g., PyTorch, TensorFlow). After you rent a GPU, you can install custom packages via apt or pip to suit your project.
A template is a managed container — we handle the OS, drivers, CUDA, and the runtime, and you bring your code. An On-Demand VM is a full machine with root access from minute one, so you can run your own Docker or Kubernetes, load custom kernels and drivers, and install anything a container can’t host. Both use the same GPUs at the same hourly rate.
Yes — launch an On-Demand VM. You get root SSH immediately and full control of the operating system, including custom kernel modules, your own container runtime, and your own monitoring or security agents.
Yes, currently in beta. Deploy a model and get an endpoint URL backed by an autoscaling worker pool that scales to zero when idle, with logs, metrics, and usage built in. Sign up and you can deploy one from the dashboard.
Yes. You can create a VPC with your own private IP ranges and run your instances inside it, isolated from other tenants’ traffic. VPCs are currently available in our India regions.
Once you rent a GPU, instances typically launch in seconds. Start coding immediately via JupyterLab, VS Code Web, or SSH.
Your rented GPU instances run in isolated environments with private networking, ensuring proper data isolation and security.
Pausing stops GPU usage charges. You pay only for storage while it’s paused. Resume anytime to continue working where you left off.
Deletion is permanent, and data cannot be recovered. After deletion, no further charges apply.
We currently offer GPU rentals in India and Europe, with more regions coming soon.
We provide technical support related to the entire lifecycle of your rented GPU instance. While we do our best to address framework-specific queries, we can’t guarantee support for all open-source tools.
We use Stripe for secure payments. Pay with credit/debit cards or net banking, ensuring a smooth transaction process.
Not currently. We support Stripe transactions at this time.
We don’t offer refunds. If you have a valid reason, email us at support@jarvislabs.ai, and we’ll review your request.