Decentralised Compute evaluated across fetchable price per gpu-hour, verified vs self-reported supply, published utilisation and live availability, and recourse when a provider vanishes mid-job.
Akash Network
#1 of 7 · published ranking
Akash Network
79ChainChoice Score
4199
Why it leads
Best in the pool on dc supply verification and dc utilisation disclosure
Cost
Not priced· No comparable price is published
No provider can pay for a position in this table. The code that computes this order cannot read which links earn us a commission, and every build proves it. Every score below rebuilds from the published criteria.Ranking 2026.08 · 4 criteria · 7 products · same inputs, same order
Personal comparison
Decentralised Compute ranked comparison
No comparable price is published; ranking still uses verified product evidence.
Ranked on 4 published criteria weighted 30/30/20/20, which set goal alignment — 30 of the 86 points. The rest: regional access 20, evidence depth 18, ease of use 10, institutional trust 8. Profile match is shown in breakdowns but carries no weight.
Audit
Infrastructure
Methodology
2026.09.15
published 2026-09-16
Providers tracked
980+
across 119 categories
Last verified
2026-09-15
newest dated pricing or sentiment read
Named on the roster
2 people
managing directors · 6 automated processes
Decision guide
What matters most before choosing in this category
The best compute network depends on whether you can get a price at all. Start with the two things this page scores hardest: can you fetch a price per GPU-hour without a sales call, and is the advertised supply verified or self-reported. Utilisation matters next — a large fleet sitting mostly idle can still be unavailable in the GPU class you need — and last, what recourse you have when a provider vanishes mid-job, which is the failure this market actually produces.
What matters most before choosing in this category
The best compute network depends on whether you can get a price at all. Start with the two things this page scores hardest: can you fetch a price per GPU-hour without a sales call, and is the advertised supply verified or self-reported. Utilisation matters next — a large fleet sitting mostly idle can still be unavailable in the GPU class you need — and last, what recourse you have when a provider vanishes mid-job, which is the failure this market actually produces.
How long does a single job run, and can it restart if a provider drops out?
Do you need a specific GPU class, and is it actually available today?
What recourse do you have if a supplier vanishes mid-job?
Current editor lead
Expert review and scoring weights
Akash Network
Akash NetworkData checked Sep 2026
Cosmos-based compute marketplace; live GPU prices and inventory via public API
Cosmos-based compute marketplace; live GPU prices and inventory via public API. Strongest on published utilisation and live availability (9/10): console-api.akash.network/v1/gpu publishes live allocated-versus-allocatable counts network-wide and per GPU model (h100 53 of 69, a100 155 of 206 at 19:31 UTC on 15 Sep 2026), and /v1/gpu-prices adds available/total per model, with no key or login. Weakest on recourse when a provider vanishes mid-job (3/10): Akash's own core-concepts docs define a provider-terminated lease as 'Provider closed it', a permanent end state, with unused escrow returned to you; there is no SLA or credit.
Best forPublished Utilisation and Live Availability — 9/10
Main tradeoffThe entire network was 426 GPUs at the 15 September 2026 read, and H100 capacity is 69 cards held by four providers. One operator withdrawing is a double-digit-percent capacity event, and there is no reservation or queue mechanism to protect an in-flight workload. Rates are bands of provider bids (h100 $2.04–$3.16/hr), not one firm rate.
Verify before signupLive from Akash's own console API (fetched 15 Sep 2026, 19:31 UTC): h100 80Gi SXM5 — min $2.04, max $3.16, avg $2.58, med $2.55/hr, 4 providers, 69 cards / 15 available; a100 80Gi SXM4 — min $1.07, max $1.91, avg $1.70, med $1.84/hr, 7 providers, 206 cards / 50 available; h200 141Gi SXM5 — $4.44/hr flat, 2 providers, 40 cards / 16 available; rtx4090 24Gi — $0.28–$0.77/hr (med $0.34); rtx5090 32Gi — $0.57–$0.71/hr; gtx1050 2Gi — $0.05/hr. 26 NVIDIA models listed in USD and uakt, 4 of them with no price. Network-wide 426 GPUs / 140 available (~67% leased). Figures are live and move between fetches; quote them with the timestamp.
Methodology
How this category is reviewed
Reviewed on a fetchable price per GPU-hour, supply verified against the network's own API, published utilisation, and recourse when a provider vanishes mid-job.
The order on this page is the published ranking for this category. Every criterion, weight and source behind it is on the methodology page.
Frequently asked
Questions people ask before choosing compute
Why are advertised node counts not scored?
Because they are self-reported, and this category has a documented history of inflated supply. What is scored is the number the network's own API returns today, against the price you can fetch for it.
Is idle capacity the same as available capacity?
No. A large fleet sitting mostly idle can still be unavailable in the GPU class you need, which is why published utilisation is scored separately from raw supply.
What happens when a permissionless supplier disappears?
That is the criterion. A permissionless marketplace has no SLA behind an individual supplier, so what matters is whether the network re-schedules your job, refunds you, or leaves you to notice.
Not financial advice · For informational purposes only · Always do your own research
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