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Compare GPU and LLM inference API pricing between Jarvis Labs and Thunder Compute. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.71/hour between comparable GPUs
| GPU Model ↑ | Jarvis Labs Price | Thunder Compute Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A100 PCIE 40GB VRAM • Jarvis Labs | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Jarvis LabsThunder Compute | ↑+$0.72(+93.5%) | |||
A100 SXM 80GB VRAM • $1.49/hour Updated: 7/14/2026 $0.77/hour Updated: 7/3/2026 ★Best Price Price Difference:↑+$0.72(+93.5%) | ||||
A30 24GB VRAM • Jarvis Labs | Not Available | — | ||
A30 24GB VRAM • | ||||
H100 PCIe 80GB VRAM • Thunder Compute | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Jarvis LabsThunder Compute | ↑+$0.70(+35.2%) | |||
H100 SXM 80GB VRAM • $2.69/hour Updated: 7/14/2026 $1.99/hour Updated: 7/3/2026 ★Best Price Price Difference:↑+$0.70(+35.2%) | ||||
H200 141GB VRAM • Jarvis Labs | Not Available | — | ||
H200 141GB VRAM • | ||||
L4 24GB VRAM • Jarvis Labs | Not Available | — | ||
L4 24GB VRAM • | ||||
L40 40GB VRAM • Thunder Compute | Not Available | — | ||
L40 40GB VRAM • | ||||
RTX A6000 48GB VRAM • Thunder Compute | Not Available | — | ||
RTX A6000 48GB 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 LabsThunder Compute | ↑+$0.72(+93.5%) | |||
A100 SXM 80GB VRAM • $1.49/hour Updated: 7/14/2026 $0.77/hour Updated: 7/3/2026 ★Best Price Price Difference:↑+$0.72(+93.5%) | ||||
A30 24GB VRAM • Jarvis Labs | Not Available | — | ||
A30 24GB VRAM • | ||||
H100 PCIe 80GB VRAM • Thunder Compute | Not Available | — | ||
H100 PCIe 80GB VRAM • | ||||
H100 SXM 80GB VRAM • Jarvis LabsThunder Compute | ↑+$0.70(+35.2%) | |||
H100 SXM 80GB VRAM • $2.69/hour Updated: 7/14/2026 $1.99/hour Updated: 7/3/2026 ★Best Price Price Difference:↑+$0.70(+35.2%) | ||||
H200 141GB VRAM • Jarvis Labs | Not Available | — | ||
H200 141GB VRAM • | ||||
L4 24GB VRAM • Jarvis Labs | Not Available | — | ||
L4 24GB VRAM • | ||||
L40 40GB VRAM • Thunder Compute | Not Available | — | ||
L40 40GB VRAM • | ||||
RTX A6000 48GB VRAM • Thunder Compute | Not Available | — | ||
RTX A6000 48GB 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
Spin up a dedicated cloud GPU in seconds.
Customize vCPUs, RAM, and storage.
Supports 7-10 Gbps networking speeds.
Integrated VS Code extension for easier development.
Ability to take snapshots for later use.
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
Sign up for an account on the Thunder Compute platform.
Select a pre-built template for your AI workflow.
Adjust the vCPUs, RAM, and storage as necessary.
Start your GPU instance with a single click.
Use the VS Code extension to access your persistent environment.
GPU clusters deployed in India (Noida) and Europe with flexible regional instance management
Documentation, tutorials, and getting started guides available
Available in the US and possibly other regions.
24/7 support via email and chat.