Jarvis Labs
Cost-effective GPU cloud for ML practitioners
JarvisLabs offers managed Jupyter/VMs with per‑minute billing on H200/H100/A100; strong India presence and pause/resume.
Available GPUs
Hourly on-demand pricing. Click column headers to sort.
Prices last updated: April 6, 2026
GPU Model↑ | Memory↑ | GPUs↑ | vCPUs↑ | RAM↑ | Price / hr↑ | Updated↑ | Source |
|---|---|---|---|---|---|---|---|
| A100 PCIE | 40GB | 1x | 16 | 112 GB | $1.29/hr | 4/6/2026 | |
| A100 SXM | 80GB | 1x | 16 | 112 GB | $1.49/hr | 4/6/2026 | |
| H100 SXM | 80GB | 1x | 16 | 200 GB | $2.69/hr | 4/6/2026 | |
| H200 | 141GB | 1x | 16 | 200 GB | $3.80/hr | 4/6/2026 | |
| L4 | 24GB | 1x | 32 | 124 GB | $0.44/hr | 4/6/2026 | |
| RTX 6000 Ada | 48GB | 1x | 32 | 128 GB | $0.99/hr | 4/6/2026 | |
| RTX A6000 | 48GB | 1x | 7 | 32 GB | $0.79/hr | 4/6/2026 |
Pros & Cons
Advantages
- Quick setup - get started in less than 5 minutes
- Easy instance lifecycle management (pause, resume, delete)
- Ability to switch GPU types when resuming instances
- Wide range of pre-configured templates
- Cost optimization through pause/resume functionality
- Enterprise-grade infrastructure with pay-as-you-go pricing
Limitations
- Limited information available about specific GPU types
- Regional availability details not clearly specified
- Newer player compared to established cloud providers
Key Features
Instant GPU Access
Get access to powerful GPUs instantly with zero setup complexity
Customizable Environments
Wide range of pre-configured templates for various AI/ML frameworks
Pay-as-you-go
Flexible pricing model with no upfront commitments
Enterprise-grade Infrastructure
Reliable and scalable infrastructure for production workloads
Instance Management
Easy pause, resume, and delete functionality for cost optimization
SSH Access
Full SSH access to instances for complete control
GPU Switching
Switch GPU types when resuming paused instances
Regional Flexibility
Resume instances within the same region for seamless operation
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
Managed Workbenches
Spin up notebooks or VMs with NVIDIA GPUs.
Availability & Support
Regions
Multiple regions available with flexibility to resume instances within the same region
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
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