JarvisLabs.ai
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About
JarvisLabs.ai is a specialized cloud platform designed to provide on-demand access to high-performance NVIDIA GPUs for artificial intelligence development and deep learning research. The platform allows users to provision powerful hardware like the H100, H200, and various RTX series GPUs in under 90 seconds. By offering managed workbench instances and bare-metal virtual machines, it simplifies the process of setting up complex environments for LLM fine-tuning, Stable Diffusion rendering, and large-scale model training without the overhead of physical hardware maintenance. The service operates on a user-friendly workflow where developers select from pre-configured templates—including PyTorch, TensorFlow, ComfyUI, and Automatic1111—and then choose their preferred GPU resources and storage capacity. Once an instance is launched, users can interact with their environment through popular tools such as JupyterLab, VS Code Web, or direct SSH access. Beyond training, the platform supports the deployment of interactive applications through integrated support for Gradio, Streamlit, and FastAPI, enabling creators to share their models via custom endpoints. JarvisLabs.ai is particularly beneficial for independent researchers, AI startups, and deep learning practitioners who require scalable compute power without long-term contracts. It caters to those who might be turned down by larger cloud providers or those seeking more competitive, transparent pricing for intensive experiments. The platform's flexibility makes it ideal for academic researchers publishing papers, as well as commercial developers building and testing AI-driven applications. What sets JarvisLabs.ai apart from mainstream cloud providers is its minute-level billing system and rapid deployment cycle. Users only pay for the exact duration their instances are running, and when a machine is paused, they are only charged for storage. This granular pricing model, combined with dedicated technical support and a focus on privacy through isolated networking environments, provides a cost-effective and secure alternative for developers who need to move quickly in the fast-paced AI landscape.
Pros & Cons
Instances launch in under 90 seconds for rapid experimentation.
Granular minute-level billing prevents overpaying for unused compute time.
Access to high-end hardware like the H200 with 141GB VRAM.
Integrated support for deploying apps via Gradio and Streamlit.
Isolated networking environments ensure data security for deep learning tasks.
There is no free tier or trial period available for new users.
A minimum credit top-up of $10 is required to begin using services.
Payment options are limited to Stripe, excluding UPI and PayPal users.
Data deletion is permanent with no possibility of recovery after destroying an instance.
Use Cases
AI researchers can publish papers by running large-scale deep learning experiments on A100 clusters without long-term commitments.
Independent developers can fine-tune LLMs using pre-configured PyTorch templates and VS Code Web access.
Startup teams can deploy model demos using Gradio or Streamlit integrations to showcase their work to stakeholders.
Creative professionals can run Stable Diffusion workloads using Automatic1111 and ComfyUI templates for high-speed rendering.
Data scientists can optimize project costs by only paying for storage while their GPU instances are paused.
Platform
Task
Features
• custom api endpoint deployment
• bare-metal vm options
• automatic1111 and comfyui support
• pre-configured pytorch and tensorflow templates
• managed jupyterlab and vs code
• nvidia hopper h100/h200 support
• minute-level billing system
• one-click gpu instance launch
FAQs
How do I rent a GPU from JarvisLabs.ai?
To get started, sign up for an account and top up your credits with at least $10. Then, select your preferred GPU type and template to launch a fully configured environment in seconds.
Do you offer a free trial?
No, there is no free trial available. However, the platform uses a pay-as-you-go model that allows you to start exploring features with a minimum deposit of $10.
How am I charged for GPU usage?
Billing is calculated per minute while the instance is running. When you pause an instance, GPU charges stop and you only pay $0.00014 per GB per hour for storage.
What happens when I delete my instance?
Deleting an instance is a permanent action that removes all associated data. Once deleted, no further charges for that instance or its storage will apply.
What geographic regions are supported?
GPU rentals are currently available in India and Finland. The provider plans to add more global regions in the future.
Pricing Plans
Pay-as-you-go
USD0.39 / per hour• Minute-level billing
• Launch instances in <90 seconds
• NVIDIA H100, A100, and RTX GPUs
• JupyterLab and VS Code Web access
• SSH access
• Pre-built ML templates
• Gradio and Streamlit deployment
• Storage charged only when paused
• Isolated environments
• No minimum commitment
Job Opportunities
There are currently no job postings for this AI tool.
Ratings & Reviews
No ratings available yet. Be the first to rate this tool!
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