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Compare GPU pricing between Jarvis Labs and QuickPod. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
| GPU Model ↑ | Jarvis Labs Price | QuickPod 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 • | ||||
H100 SXM 80GB VRAM • Jarvis Labs | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Jarvis Labs | Not Available | — | ||
H200 141GB VRAM • | ||||
L4 24GB VRAM • Jarvis Labs | Not Available | — | ||
L4 24GB VRAM • | ||||
RTX 3060 Ti 8GB VRAM • QuickPod | Not Available | — | ||
RTX 3060 Ti 8GB VRAM • | ||||
RTX 3070 8GB VRAM • QuickPod | Not Available | — | ||
RTX 3070 8GB VRAM • | ||||
RTX 3090 24GB VRAM • QuickPod | Not Available | — | ||
RTX 3090 24GB VRAM • | ||||
RTX 4090 24GB VRAM • QuickPod | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX 5060 Ti 16GB VRAM • QuickPod | Not Available | — | ||
RTX 5060 Ti 16GB VRAM • | ||||
RTX 5070 Ti 16GB VRAM • QuickPod | Not Available | — | ||
RTX 5070 Ti 16GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • QuickPod | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX A4000 16GB VRAM • QuickPod | Not Available | 2x GPU | — | |
RTX A4000 16GB 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 • | ||||
H100 SXM 80GB VRAM • Jarvis Labs | Not Available | — | ||
H100 SXM 80GB VRAM • | ||||
H200 141GB VRAM • Jarvis Labs | Not Available | — | ||
H200 141GB VRAM • | ||||
L4 24GB VRAM • Jarvis Labs | Not Available | — | ||
L4 24GB VRAM • | ||||
RTX 3060 Ti 8GB VRAM • QuickPod | Not Available | — | ||
RTX 3060 Ti 8GB VRAM • | ||||
RTX 3070 8GB VRAM • QuickPod | Not Available | — | ||
RTX 3070 8GB VRAM • | ||||
RTX 3090 24GB VRAM • QuickPod | Not Available | — | ||
RTX 3090 24GB VRAM • | ||||
RTX 4090 24GB VRAM • QuickPod | Not Available | — | ||
RTX 4090 24GB VRAM • | ||||
RTX 5060 Ti 16GB VRAM • QuickPod | Not Available | — | ||
RTX 5060 Ti 16GB VRAM • | ||||
RTX 5070 Ti 16GB VRAM • QuickPod | Not Available | — | ||
RTX 5070 Ti 16GB VRAM • | ||||
RTX 6000 Ada 48GB VRAM • QuickPod | Not Available | — | ||
RTX 6000 Ada 48GB VRAM • | ||||
RTX A4000 16GB VRAM • QuickPod | Not Available | 2x GPU | — | |
RTX A4000 16GB 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 Jarvis Labs with another leading provider
Compare Jarvis Labs with another leading provider
Compare Jarvis Labs with another leading provider
Compare Jarvis Labs with another leading provider
Compare Jarvis Labs with another leading provider
Compare Jarvis Labs with another leading provider
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
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