Akash Network

Q: How do I get started with Akash Network?

Sign Up, Choose a Deployment Method, Configure Resources, Deploy

Decentralized cloud computing for AI workloads

GPU-focused🇺🇸 USgpudecentralizedai

Last reviewed Oct 6, 2026

Akash Network offers a decentralized cloud platform that enables users to deploy AI and compute workloads using available GPU resources globally.

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GPU Models

From / hour

$0.08

Available GPUs

Hourly on-demand pricing. Click column headers to sort.

Prices last updated: October 6, 2026

			GPUs
A100 SXM	$1.33/hr 1×	80GB	1×	10/6/2026
B200	$5.00/hr 1×	180GB	1×	10/6/2026
GTX 1070 Ti	$0.140/hr 1×	8GB	1×	10/6/2026
H100 SXM	$2.72/hr 1×	80GB	1×	10/6/2026
HGX B300	$6.00/hr 1×	288GB	1×	10/6/2026
RTX 3060	$0.140/hr 1×	12GB	1×	10/6/2026
RTX 3060 Ti	$0.140/hr 1×	8GB	1×	10/6/2026
RTX 3090	$0.170/hr 1×	24GB	1×	10/6/2026
RTX 3090 Ti	$0.250/hr 1×	24GB	1×	10/6/2026
RTX 4000 Ada	$0.250/hr 1×	20GB	1×	10/6/2026

Akash Network pricing by GPU

Configurations, price rank, and alternatives for one GPU at a time.

Pros & Cons

Advantages

Decentralized infrastructure reduces dependency on single providers.
Potential for lower costs compared to traditional cloud providers.
Supports a wide variety of containerized applications.

Limitations

Limited awareness compared to larger cloud providers.
Potential complexity in understanding the decentralized model for new users.

Key Features

Automated Bidding

Independent infrastructure providers automatically submit competitive bids in real time for workload requests.

No Refactoring Required

Applications running in containers can be directly migrated to the Akash platform without code changes.

1-Click Templates

Pre-configured environments for popular AI models can be launched quickly.

Global Access to Hardware

Enterprise-grade GPUs and consumer-grade GPUs are accessible for various compute needs.

Operational Autonomy

Users maintain control over network routing and data residency.

Availability & Support

Regions

Global availability for GPU resources

Support

Documentation available online; support requests can be initiated through the platform.

Getting Started

1
Sign Up
Create an account on the Akash console.
2
Choose a Deployment Method
Select to launch an AI workload or deploy a container.
3
Configure Resources
Specify required resources such as GPUs, memory, and region.
4
Deploy
Finalize deployment and authorize the request.

Frequently Asked Questions

What GPU types does Akash Network offer?

Akash Network offers various GPU types including Tesla T4, A100 SXM, H100 SXM, Tesla P40, RTX 3060 Ti, GTX 1070 Ti, RTX 4000 Ada, RTX 4080, RTX 4090, HGX B300, RTX 3090 Ti, RTX 5090, B200, Tesla V100, RTX PRO 6000, RTX 3090, RTX 3060. Check the pricing table above for current availability and pricing.

How do I get started with Akash Network?

What are Akash Network's main advantages?

Akash Network's main advantages include: Decentralized infrastructure reduces dependency on single providers., Potential for lower costs compared to traditional cloud providers., Supports a wide variety of containerized applications..

What are Akash Network's limitations?

Akash Network's main limitations include: Limited awareness compared to larger cloud providers., Potential complexity in understanding the decentralized model for new users..