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Jarvis Labs

Cost-effective GPU cloud for ML practitioners

Rapidly-catching neocloud🇮🇳 INbudget

Last reviewed Mar 14, 2026

JarvisLabs offers managed Jupyter/VMs with per‑minute billing on H200/H100/A100; strong India presence and pause/resume.

GPU Models
7
From / hour
$0.41

Available GPUs

Hourly on-demand pricing. Click column headers to sort.

Prices last updated: August 18, 2026

A100 PCIE
$0.890/hr
1×
A100 SXM
$1.49/hr
1×
A30
$0.410/hr
1×
H100 SXM
$2.69/hr
1×
H200
$3.99/hr
1×
L4
$0.440/hr
1×
RTX PRO 6000
$1.89/hr
1×

Jarvis Labs pricing by GPU

Configurations, price rank, and alternatives for one GPU at a time.

Pros & Cons

Advantages

  • Quick setup - get started in less than 5 minutes
  • Per-minute billing for precise cost control
  • Fast boot times (templates in 1.8s, VMs under 90s)
  • Agent-native support for Claude Code, Cursor, and AI coding tools
  • Easy instance lifecycle management (pause, resume, delete)
  • Ability to switch GPU types when resuming instances
  • Strong community endorsements from AI practitioners
  • Comprehensive CLI and Python SDK

Limitations

  • Primarily focused on India and EU regions
  • Newer player compared to established cloud giants
  • Limited enterprise-level features for large organizations

Key Features

Instant GPU Access

Get access to powerful GPUs instantly with zero setup complexity

Fast Boot Times

Boot templates in 1.8 seconds or VMs in under 90 seconds

Per-minute Billing

Pay-as-you-go with per-minute billing and no upfront commitments

CLI & Python SDK

Comprehensive command-line and Python SDK with agent integration for Claude Code, Cursor, and other AI coding agents

Multi-GPU Scaling

Scale up to 8 GPUs per instance for demanding workloads

Instance Management

Easy pause, resume, and delete functionality for cost optimization

Template Library

Wide range of pre-configured templates for PyTorch, TensorFlow, ComfyUI, and other ML frameworks

GPU Switching

Switch GPU types when resuming paused instances for optimal resource utilization

Compute Services

GPU Instances

On-demand GPU instances with various configuration options

  • Pre-configured templates for popular ML frameworks
  • Scalable GPU resources
  • Instance pause and resume capabilities
  • SSH access for full control

Templates

Pre-built environments for instant deployment

  • Boot in 1.8 seconds
  • Persistent storage across stop/start
  • One-click API or notebook URL exposure
  • Up to 8 GPUs per template

Virtual Machines

Full root access VMs for custom configurations

  • Root SSH access from minute one
  • Custom Docker/Kubernetes support
  • Custom kernels and drivers
  • Up to 8 GPUs per VM, multi-region

Pricing Options

OptionDetails
On-Demand InstancesPer-minute billing with no minimum commitments and instant provisioning
Spot InstancesUse spare capacity with significant discounts up to 56% off on-demand pricing
Monthly CommitmentsSave up to 21% with 1-month commitments or up to 32% with 6-month commitments

Availability & Support

Regions

GPU clusters deployed in India (Noida) and Europe with flexible regional instance management

Support

Documentation, tutorials, and getting started guides available

Getting Started

  1. 1

    Create a New Account

    Sign up for a new account on the Jarvis Labs platform

  2. 2

    Recharge Your Wallet

    Add funds to your account in the Recharge section

  3. 3

    Choose and Launch a Template

    Explore the wide range of templates, configure your desired setup, and click Launch

  4. 4

    Manage Your Instances

    Easily pause ⏸️, resume ▶️, and delete 🗑️ your instances with just a few clicks

Compare Providers

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