What is the difference between Akamai Cloud and ParalonCloud?

Akamai Cloud and ParalonCloud are both cloud GPU providers offering different pricing models, features, and GPU availability. Use our comparison tool to see real-time pricing and feature differences.

Which is cheaper: Akamai Cloud or ParalonCloud?

Pricing varies by GPU model and usage requirements. Check our real-time comparison table to find the best deals for your specific needs.

Can I switch between Akamai Cloud and ParalonCloud?

Yes, both providers offer flexible cloud GPU services. However, consider factors like data transfer costs, setup time, and specific features when switching between providers.

How many GPU models are available for comparison?

We track pricing for 10 different GPU models across both Akamai Cloud and ParalonCloud, with 0 models available from both providers.

Akamai Cloud vs ParalonCloud

Compare GPU and LLM inference API pricing between Akamai Cloud and ParalonCloud. Find the best rates for AI training, inference, and ML workloads.

Akamai Cloud

Provider 1

GPUs Available

Visit Website

ParalonCloud

Provider 2

GPUs Available

Visit Website

Comparison Overview

Total GPU Models

Akamai Cloud GPUs

ParalonCloud GPUs

Direct Comparisons

GPU Pricing Comparison

Total GPUs: 10Both available: 0Akamai Cloud: 3ParalonCloud: 7

Showing 10 of 10 GPUs

Last updated: 10/12/2026, 8:38:09 PM

GPU Model ↑	Akamai Cloud Price	ParalonCloud Price	Price Diff ↕	Sources
Quadro RTX 6000 24GB VRAM • Akamai Cloud	$1.50/hr★ Best	Not Available	—	Akamai Cloud
Quadro RTX 6000 24GB VRAM • Akamai Cloud $1.50/hour Updated: 10/8/2026 ★Best Price Not Available Akamai Cloud
RTX 3080 10GB VRAM • ParalonCloud	Not Available	$0.13/hr★ Best	—	ParalonCloud
RTX 3080 10GB VRAM • Not Available ParalonCloud $0.13/hour Updated: 10/12/2026 ★Best Price ParalonCloud
RTX 4000 Ada 20GB VRAM • Akamai Cloud	$0.52/hr★ Best	Not Available	—	Akamai Cloud
RTX 4000 Ada 20GB VRAM • Akamai Cloud $0.52/hour Updated: 10/8/2026 ★Best Price Not Available Akamai Cloud
RTX 4090 24GB VRAM • ParalonCloud	Not Available	$0.44/hr★ Best	—	ParalonCloud
RTX 4090 24GB VRAM • Not Available ParalonCloud $0.44/hour Updated: 10/12/2026 ★Best Price ParalonCloud
RTX 5060 12GB VRAM • ParalonCloud	Not Available	$0.16/hr★ Best	—	ParalonCloud
RTX 5060 12GB VRAM • Not Available ParalonCloud $0.16/hour Updated: 10/12/2026 ★Best Price ParalonCloud
RTX 5060 Ti 16GB VRAM • ParalonCloud	Not Available	$0.27/hr★ Best	—	ParalonCloud
RTX 5060 Ti 16GB VRAM • Not Available ParalonCloud $0.27/hour Updated: 10/12/2026 ★Best Price ParalonCloud
RTX 5070 Ti 16GB VRAM • ParalonCloud	Not Available	$0.33/hr★ Best	—	ParalonCloud
RTX 5070 Ti 16GB VRAM • Not Available ParalonCloud $0.33/hour Updated: 10/12/2026 ★Best Price ParalonCloud
RTX 5090 32GB VRAM • ParalonCloud	Not Available	$0.51/hr★ Best	—	ParalonCloud
RTX 5090 32GB VRAM • Not Available ParalonCloud $0.51/hour Updated: 10/12/2026 ★Best Price ParalonCloud
RTX A6000 48GB VRAM • ParalonCloud	Not Available	$0.48/hr★ Best	—	ParalonCloud
RTX A6000 48GB VRAM • Not Available ParalonCloud $0.48/hour Updated: 10/12/2026 ★Best Price ParalonCloud
RTX PRO 6000 96GB VRAM • Akamai Cloud	$3.00/hr★ Best	Not Available	—	Akamai Cloud
RTX PRO 6000 96GB VRAM • Akamai Cloud $3.00/hour Updated: 10/11/2026 ★Best Price Not Available Akamai Cloud

Quadro RTX 6000 24GB VRAM • Akamai Cloud	$1.50/hr★ Best	Not Available	—	Akamai Cloud
Quadro RTX 6000 24GB VRAM • Akamai Cloud $1.50/hour Updated: 10/8/2026 ★Best Price Not Available Akamai Cloud
RTX 3080 10GB VRAM • ParalonCloud	Not Available	$0.13/hr★ Best	—	ParalonCloud
RTX 3080 10GB VRAM • Not Available ParalonCloud $0.13/hour Updated: 10/12/2026 ★Best Price ParalonCloud
RTX 4000 Ada 20GB VRAM • Akamai Cloud	$0.52/hr★ Best	Not Available	—	Akamai Cloud
RTX 4000 Ada 20GB VRAM • Akamai Cloud $0.52/hour Updated: 10/8/2026 ★Best Price Not Available Akamai Cloud
RTX 4090 24GB VRAM • ParalonCloud	Not Available	$0.44/hr★ Best	—	ParalonCloud
RTX 4090 24GB VRAM • Not Available ParalonCloud $0.44/hour Updated: 10/12/2026 ★Best Price ParalonCloud
RTX 5060 12GB VRAM • ParalonCloud	Not Available	$0.16/hr★ Best	—	ParalonCloud
RTX 5060 12GB VRAM • Not Available ParalonCloud $0.16/hour Updated: 10/12/2026 ★Best Price ParalonCloud
RTX 5060 Ti 16GB VRAM • ParalonCloud	Not Available	$0.27/hr★ Best	—	ParalonCloud
RTX 5060 Ti 16GB VRAM • Not Available ParalonCloud $0.27/hour Updated: 10/12/2026 ★Best Price ParalonCloud
RTX 5070 Ti 16GB VRAM • ParalonCloud	Not Available	$0.33/hr★ Best	—	ParalonCloud
RTX 5070 Ti 16GB VRAM • Not Available ParalonCloud $0.33/hour Updated: 10/12/2026 ★Best Price ParalonCloud
RTX 5090 32GB VRAM • ParalonCloud	Not Available	$0.51/hr★ Best	—	ParalonCloud
RTX 5090 32GB VRAM • Not Available ParalonCloud $0.51/hour Updated: 10/12/2026 ★Best Price ParalonCloud
RTX A6000 48GB VRAM • ParalonCloud	Not Available	$0.48/hr★ Best	—	ParalonCloud
RTX A6000 48GB VRAM • Not Available ParalonCloud $0.48/hour Updated: 10/12/2026 ★Best Price ParalonCloud
RTX PRO 6000 96GB VRAM • Akamai Cloud	$3.00/hr★ Best	Not Available	—	Akamai Cloud
RTX PRO 6000 96GB VRAM • Akamai Cloud $3.00/hour Updated: 10/11/2026 ★Best Price Not Available Akamai Cloud

LLM API Pricing Comparison

Total models: 1Both available: 0Akamai Cloud: 0ParalonCloud: 1

Showing 1 of 1 models

Prices per 1M tokens · Last updated: 10/12/2026, 8:38:08 PM

Model ↑	Akamai Cloud	ParalonCloud	Input Diff ↕
Qwen3 4B Alibaba	Not available	$0.050 in $0.200 out	—

Features Comparison

Akamai Cloud

RTX-Class GPU Plans
Workstation and Blackwell-generation RTX cards exposed as predictable GPU Linodes
Global Akamai Backbone
GPU instances available across the broader Akamai compute and CDN footprint
Predictable Monthly Pricing
Flat monthly pricing on GPU Linodes with hourly fallback

ParalonCloud

Decentralized Infrastructure
Connects developers with distributed GPUs worldwide.
Instant Deployment
Docker-native deployment takes minutes for setup.
Real-time Monitoring
Comprehensive utilization metrics and health status for all nodes.
Competitive Marketplace
Transparent pricing set by individual providers.
Access to ML Frameworks
Pre-configured environments for popular machine learning frameworks.

Pros & Cons

Akamai Cloud

Advantages

Predictable flat-rate pricing model
Global region coverage inherited from the Akamai network
Blackwell-generation RTX PRO 6000 available alongside older RTX SKUs

Considerations

Catalog focused on RTX cards; H100/H200/B200 are not part of the public lineup
Limited multi-GPU and large-cluster offerings versus dedicated neoclouds
Less optimized for frontier-scale training

ParalonCloud

Advantages

Access to a wide network of GPUs
No long-term contracts required
Billed only for GPU-minutes consumed
Instant setup and deployment

Considerations

Dependent on performance of individual provider nodes
Spot machines may be reclaimed with short notice
Requires constant internet connection

Compute Services

Akamai Cloud

ParalonCloud

Pricing Options

Akamai Cloud

Monthly GPU Linodes

Flat monthly pricing for GPU-equipped virtual machines

Hourly Billing

Hourly billing fallback when instances run for less than a month

ParalonCloud

Getting Started

Akamai Cloud

Get Started

1
Create an account
Sign up at the Akamai Cloud / Linode console
2
Choose a GPU Linode plan
Select RTX 4000 Ada, Quadro RTX 6000 or RTX PRO 6000 Blackwell with the desired GPU count
3
Deploy and connect
Provision the instance via console, CLI or API and connect over SSH

ParalonCloud

Get Started

1
Sign up
Create an account on the ParalonCloud platform.
2
Add credits
Load your account with credits to rent GPU resources.
3
Select GPU
Choose a GPU from the marketplace based on your needs.
4
Start machine
Launch your selected GPU instance for your workloads.
5
Access resources
Utilize Jupyter Lab, SSH, or REST API to run your tasks.

Support & Global Availability

Akamai Cloud

Global Regions

Global region coverage across North America, Europe, Asia and Australia

Support

Documentation, community resources and 24/7 paid support tiers

ParalonCloud

Global Regions

Global availability through independent providers

Support

Support available via email; additional resources may be found on the website.