What GPU types does Jarvis Labs offer?

Jarvis Labs offers various GPU types including A100 PCIE, A100 SXM, H100 SXM, H200, A30, L4, RTX PRO 6000. Check the pricing table above for current availability and pricing.

How do I get started with Jarvis Labs?

Create a New Account, Recharge Your Wallet, Choose and Launch a Template, Manage Your Instances

What are Jarvis Labs's main advantages?

Jarvis Labs's main advantages include: 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.

What are Jarvis Labs's limitations?

Jarvis Labs's main limitations include: Primarily focused on India and EU regions, Newer player compared to established cloud giants, Limited enterprise-level features for large organizations.

Jarvis Labs GPU Pricing: Compare 7+ GPUs

Available GPUs

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

Prices last updated: August 28, 2026

			GPUs	vCPUs	RAM
A100 PCIE	$0.890/hr 1×	40GB	1×	16	112 GB	8/28/2026
A100 SXM	$1.49/hr 1×	80GB	1×	16	112 GB	8/28/2026
A30	$0.410/hr 1×	24GB	1×	16	112 GB	8/28/2026
H100 SXM	$2.69/hr 1×	80GB	1×	16	200 GB	8/28/2026
H200	$3.99/hr 1×	141GB	1×	28	300 GB	8/28/2026
L4	$0.440/hr 1×	24GB	1×	32	124 GB	8/28/2026
RTX PRO 6000	$1.89/hr 1×	96GB	1×	28	160 GB	8/28/2026

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

Option	Details
On-Demand Instances	Per-minute billing with no minimum commitments and instant provisioning
Spot Instances	Use spare capacity with significant discounts up to 56% off on-demand pricing
Monthly Commitments	Save 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
Create a New Account
Sign up for a new account on the Jarvis Labs platform
2
Recharge Your Wallet
Add funds to your account in the Recharge section
3
Choose and Launch a Template
Explore the wide range of templates, configure your desired setup, and click Launch
4
Manage Your Instances
Easily pause ⏸️, resume ▶️, and delete 🗑️ your instances with just a few clicks

Jarvis Labs

Available GPUs

Jarvis Labs pricing by GPU