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Compare GPU and LLM inference API pricing between Akamai Cloud and Jarvis Labs. Find the best rates for AI training, inference, and ML workloads.
Provider 1
Provider 2
Average Price Difference: $0.61/hour between comparable GPUs
| GPU Model ↑ | Akamai Cloud 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 • | ||||
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 4000 Ada 20GB VRAM • Akamai Cloud | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Akamai CloudJarvis Labs | ↑+$0.61(+32.3%) | |||
RTX PRO 6000 96GB VRAM • $2.50/hour Updated: 6/29/2026 $1.89/hour Updated: 7/14/2026 ★Best Price Price Difference:↑+$0.61(+32.3%) | ||||
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 4000 Ada 20GB VRAM • Akamai Cloud | Not Available | — | ||
RTX 4000 Ada 20GB VRAM • | ||||
RTX PRO 6000 96GB VRAM • Akamai CloudJarvis Labs | ↑+$0.61(+32.3%) | |||
RTX PRO 6000 96GB VRAM • $2.50/hour Updated: 6/29/2026 $1.89/hour Updated: 7/14/2026 ★Best Price Price Difference:↑+$0.61(+32.3%) | ||||
Explore how these providers compare to other popular GPU cloud services
Compare Akamai Cloud with another leading provider
Compare Akamai Cloud with another leading provider
Compare Akamai Cloud with another leading provider
Compare Akamai Cloud with another leading provider
Compare Akamai Cloud with another leading provider
Compare Akamai Cloud with another leading provider
Workstation and Blackwell-generation RTX cards exposed as predictable GPU Linodes
GPU instances available across the broader Akamai compute and CDN footprint
Flat monthly pricing on GPU Linodes with hourly fallback
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
Flat monthly pricing for GPU-equipped virtual machines
Hourly billing fallback when instances run for less than a month
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 at the Akamai Cloud / Linode console
Select RTX 4000 Ada, Quadro RTX 6000 or RTX PRO 6000 Blackwell with the desired GPU count
Provision the instance via console, CLI or API and connect over SSH
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
Global region coverage across North America, Europe, Asia and Australia
Documentation, community resources and 24/7 paid support tiers
GPU clusters deployed in India (Noida) and Europe with flexible regional instance management
Documentation, tutorials, and getting started guides available