Akash Network review
Updated September 28, 2026 · DeployCue Editorial Team · Facts checked September 26, 2026
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Our verdict
Akash Network suits developers and small teams who want a short GPU run without a long commitment. GPU hours start at $1.33, well inside the field, and the marketplace spreads capacity across from 85 locations.
Key facts
- Best for
- Short, pay as you go GPU runs on current hardware
- GPU models
- H200, H100, A100, RTX 5090 (Source, checked September 26, 2026)
- GPU hour from
- $1.33 (Source, checked September 26, 2026)
- Billing granularity
- Hourly (Source, checked September 26, 2026)
- Free credits
- $1 (Source, checked September 26, 2026)
- Locations
- from 85 (Source, checked September 26, 2026)
- Interconnect
- Multi-node interconnected training clusters, native Ray clusters (Source, checked September 26, 2026)
- Support channels
- Email, Community (Source, checked September 26, 2026)
- Pricing model
- Hourly billing, Free tier
- Official website
- akash.network
Serverless
- Support channels
- Email, Community (Source, checked September 26, 2026)
Apps and profiles
- Elsewhere
- github.comdiscord.com
Pros and cons
Pros
- GPU hours from $1.33, a low starting point for spot capacity
- Current accelerators in the lineup, with H200, H100 and A100 listed
- Capacity spread over from 85 locations, so a single outage region is less of a risk
- $1 in credits covers a first short test run
Cons
- Billing is hourly, so long training jobs pay for idle gaps
- Support runs on email and community only, with no live channel for urgent incidents
- Entry pricing sits well above the field median of 59 rank on this measure
Who it suits
- Developers testing a model or a prompt before committing to a longer run
- Small teams that want flexible GPU capacity without a fixed reservation
- Trainers who need multi node clusters in one marketplace
Who should look elsewhere
- Teams wanting chat or phone support, since Akash Network runs on email and community
- Buyers who need a guaranteed model lineup beyond H200, H100 and A100
- Long uninterrupted training jobs that suffer under hourly billing
What it does well
The GPU lineup covers H200, H100 and A100, so current accelerators are available alongside a consumer class card. Capacity is spread across from 85 locations, which gives you room to pick a region that suits your data residency or latency needs. The standout piece is interconnect: multi node interconnected training clusters and native Ray clusters, so a distributed job can span several machines without stitching together separate providers.
Pricing
There is no subscription and no tiered plan here. You pay for what the marketplace quotes, and GPU hours start at $1.33 on the cheapest listing. Billing is hourly, so an idle GPU still bills while it sits rented, which keeps costs low for short bursts and higher for jobs that stall. New accounts get $1 in credits to cover an early test run.
How Akash Network compares
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Akash Network vs ScalaHosting8.9 vs 8.3
Akash Network vs Hostinger8.9 vs 9.1
Akash Network vs Proton Drive8.9 vs 8.3
Akash Network vs AIS Cloud8.9 vs 8.1
Frequently asked questions
What does a GPU hour cost on Akash Network?+
GPU hours start at $1.33 on the cheapest listing, and the exact rate moves with the provider you pick. There is no subscription tier. Billing is hourly, so a rented GPU that sits idle still counts toward the bill.
Is there a free tier or trial credit?+
New accounts receive $1 in credits, which is enough to run a short test job and see how the marketplace behaves. It is a starting balance rather than a standing free tier, so plan a paid run once the credit runs out.
Which GPUs can I rent?+
The listed lineup covers H200, H100 and A100, spanning datacenter accelerators and a consumer class card. Availability depends on which providers have capacity at the moment you bid, so a model in the lineup is not a guarantee that one is free right now.
Where does Akash Network run capacity?+
Capacity is spread over from 85 locations. That spread helps with resilience and lets you pick a region closer to your users, though the exact node you land on depends on provider availability at deployment time.
How do I get support when a job fails?+
Support runs on email and community, so you reach the team by email or through the community rather than a live chat line. For a training job that is mid run, that means keeping your own checkpoints and monitoring in place.
Can I run a distributed training job on it?+
Yes. Interconnect covers multi node interconnected training clusters and native Ray clusters, so you can spread one job across several rented GPUs. That is the main reason to look past a single card when your training run exceeds a single machine.
How does Akash Network compare on price?+
Its entry GPU hour of $1.33 ranks 59 of 95 brands on this measure, so it is competitive on the cheapest listing without being the floor. Expect the cheaper end of the marketplace to move as providers add capacity.
Sources
- akash.network checked September 26, 2026
Backs: GPU hour from, GPU models, Interconnect
“H100s for $1.33/hr vs AWS at $3.93/hr.”
- akash.network/docs/getting-started/what-is-akash checked September 26, 2026
Backs: Free credits, Locations, Pricing model
“Start with our trial ($1 free credits, no card required, 30 days)”
- akash.network/pricing/gpus checked September 26, 2026
Backs: Billing granularity
“Prices are per GPU-hour in USD, derived from recent provider bids on the network and weighted by each provider's GPU count.”
- akash.network/support checked September 26, 2026
Backs: Support channels
“Contact Akash Support ... Ask the Community ... Akash Discord”
Compiled from 4 source pages, checked September 26, 2026. We did not open an account.
Not confirmed yet: Egress fee.