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Compare GPU and LLM inference API pricing between Jarvis Labs and Lambda Labs. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.55/hour between comparable GPUs
| GPU Model ↑ | Jarvis Labs Price | Lambda Labs Price | Price Diff ↕ | Sources |
|---|---|---|---|---|
A10 24GB VRAM • Lambda Labs | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • Jarvis Labs | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Jarvis LabsLambda Labs | ↓$0.50(25.1%) | |||
A100 SXM 80GB VRAM • $1.49/hour Updated: 7/7/2026 ★Best Price $1.99/hour Updated: 7/7/2026 Price Difference:↓$0.50(25.1%) | ||||
A30 24GB VRAM • Jarvis Labs | Not Available | — | ||
A30 24GB VRAM • | ||||
B200 192GB VRAM • Lambda Labs | Not Available | 8x GPU | — | |
B200 192GB VRAM • | ||||
GH200 96GB VRAM • Lambda Labs | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • Jarvis LabsLambda Labs | ↓$0.60(18.2%) | |||
H100 SXM 80GB VRAM • $2.69/hour Updated: 7/7/2026 ★Best Price $3.29/hour Updated: 7/7/2026 Price Difference:↓$0.60(18.2%) | ||||
H200 141GB VRAM • Jarvis Labs | Not Available | — | ||
H200 141GB VRAM • | ||||
L4 24GB VRAM • Jarvis Labs | Not Available | — | ||
L4 24GB VRAM • | ||||
RTX A6000 48GB VRAM • Lambda Labs | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Jarvis Labs | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
Tesla V100 32GB VRAM • Lambda Labs | Not Available | 8x GPU | — | |
Tesla V100 32GB VRAM • | ||||
A10 24GB VRAM • Lambda Labs | Not Available | — | ||
A10 24GB VRAM • | ||||
A100 PCIE 40GB VRAM • Jarvis Labs | Not Available | — | ||
A100 PCIE 40GB VRAM • | ||||
A100 SXM 80GB VRAM • Jarvis LabsLambda Labs | ↓$0.50(25.1%) | |||
A100 SXM 80GB VRAM • $1.49/hour Updated: 7/7/2026 ★Best Price $1.99/hour Updated: 7/7/2026 Price Difference:↓$0.50(25.1%) | ||||
A30 24GB VRAM • Jarvis Labs | Not Available | — | ||
A30 24GB VRAM • | ||||
B200 192GB VRAM • Lambda Labs | Not Available | 8x GPU | — | |
B200 192GB VRAM • | ||||
GH200 96GB VRAM • Lambda Labs | Not Available | — | ||
GH200 96GB VRAM • | ||||
H100 SXM 80GB VRAM • Jarvis LabsLambda Labs | ↓$0.60(18.2%) | |||
H100 SXM 80GB VRAM • $2.69/hour Updated: 7/7/2026 ★Best Price $3.29/hour Updated: 7/7/2026 Price Difference:↓$0.60(18.2%) | ||||
H200 141GB VRAM • Jarvis Labs | Not Available | — | ||
H200 141GB VRAM • | ||||
L4 24GB VRAM • Jarvis Labs | Not Available | — | ||
L4 24GB VRAM • | ||||
RTX A6000 48GB VRAM • Lambda Labs | Not Available | — | ||
RTX A6000 48GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Jarvis Labs | Not Available | — | ||
RTX PRO 6000 96GB VRAM • | ||||
Tesla V100 32GB VRAM • Lambda Labs | Not Available | 8x GPU | — | |
Tesla V100 32GB 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