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Compare GPU pricing between Compute Cheap and Jarvis Labs. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $2.07/hour between comparable GPUs
| GPU Model ↑ | Compute Cheap Price | Jarvis Labs Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Jarvis Labs | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Jarvis Labs | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A30 24GB VRAM • Jarvis Labs | Not Available | — | ||
A30 24GB VRAM • | ||||
B200 180GB VRAM • Compute Cheap | Not Available | — | ||
B200 180GB VRAM • | ||||
H100 SXM 80GB VRAM • Compute CheapJarvis Labs | ↓$1.54(57.2%) | |||
H100 SXM 80GB VRAM • $1.15/hour Updated: 9/20/2026 ★Best Price $2.69/hour Updated: 9/20/2026 Price Difference:↓$1.54(57.2%) | ||||
H200 141GB VRAM • Compute CheapJarvis Labs | ↓$2.60(65.2%) | |||
H200 141GB VRAM • $1.39/hour Updated: 9/20/2026 ★Best Price $3.99/hour Updated: 9/20/2026 Price Difference:↓$2.60(65.2%) | ||||
L4 24GB VRAM • Jarvis Labs | Not Available | — | ||
L4 24GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Jarvis Labs | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
A100 PCIE 40GB VRAM • Jarvis Labs | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Jarvis Labs | Not Available | — | ||
A100 SXM 80GB VRAM • | ||||
A30 24GB VRAM • Jarvis Labs | Not Available | — | ||
A30 24GB VRAM • | ||||
B200 180GB VRAM • Compute Cheap | Not Available | — | ||
B200 180GB VRAM • | ||||
H100 SXM 80GB VRAM • Compute CheapJarvis Labs | ↓$1.54(57.2%) | |||
H100 SXM 80GB VRAM • $1.15/hour Updated: 9/20/2026 ★Best Price $2.69/hour Updated: 9/20/2026 Price Difference:↓$1.54(57.2%) | ||||
H200 141GB VRAM • Compute CheapJarvis Labs | ↓$2.60(65.2%) | |||
H200 141GB VRAM • $1.39/hour Updated: 9/20/2026 ★Best Price $3.99/hour Updated: 9/20/2026 Price Difference:↓$2.60(65.2%) | ||||
L4 24GB VRAM • Jarvis Labs | Not Available | — | ||
L4 24GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Jarvis Labs | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
Explore how these providers compare to other popular GPU cloud services
Compare Compute Cheap with another leading provider
Compare Compute Cheap with another leading provider
Compare Compute Cheap with another leading provider
Compare Compute Cheap with another leading provider
Compare Compute Cheap with another leading provider
Compare Compute Cheap with another leading provider
Offers both spot and on-demand pricing for GPU compute.
Enables capacity owners to compete for workloads, ensuring transparent pricing.
Utilizes underused infrastructure for cost-effective compute.
Charges are based on usage, with no long-term commitments.
Designed primarily around GPU resources without added complexities.
Get access to powerful GPUs instantly with zero setup complexity
Boot templates in 1.8 seconds or VMs in under 90 seconds
Pay-as-you-go with per-minute billing and no upfront commitments
Comprehensive command-line and Python SDK with agent integration for Claude Code, Cursor, and other AI coding agents
Scale up to 8 GPUs per instance for demanding workloads
Easy pause, resume, and delete functionality for cost optimization
On-demand GPU instances with various configuration options
Pre-built environments for instant deployment
Full root access VMs for custom configurations
Per-minute billing with no minimum commitments and instant provisioning
Use spare capacity with significant discounts up to 56% off on-demand pricing
Save up to 21% with 1-month commitments or up to 32% with 6-month commitments
Visit the pricing page to review available GPU types and configurations.
Choose between spot or on-demand GPU resources.
Fill out the request form to initiate use of resources.
Integrate your applications with the Compute Cheap platform.
Start your GPU compute tasks based on selected resources.
Sign up for a new account on the Jarvis Labs platform
Add funds to your account in the Recharge section
Explore the wide range of templates, configure your desired setup, and click Launch
Easily pause ⏸️, resume ▶️, and delete 🗑️ your instances with just a few clicks
GPU clusters deployed in India (Noida) and Europe with flexible regional instance management
Documentation, tutorials, and getting started guides available