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How we rank & score

Layer 2.5 · head to head

Akash Network vs io.net

Two decentralised models, and what token incentives do to your supply.

Akash Networkio.net
Can you leaveMovable with effort. Expect to redo images, storage wiring and networking.Movable with effort. Expect to redo images, storage wiring and networking.
CounterpartyNo company to sue and no SLA to invoke. That is the design, not a defect.Token-incentivised supply behaves differently from contracted supply. Capacity can appear and vanish with the incentive schedule rather than with demand.
What it isBrokers capacity somebody else owns. Cheapest headline rates, and the machine you get is not the machine you chose.Brokers capacity somebody else owns. Cheapest headline rates, and the machine you get is not the machine you chose.
How you reach itYou push a container image and it runs. No cluster to operate.You push a container image and it runs. No cluster to operate.
AcceleratorsAggregated, mostly consumer and older datacentre partsAggregated consumer and datacentre GPUs
RegionsDistributedDistributed
Pricing modelReverse auction, crypto-settled.Marketplace, crypto-settled options.
Getting startedLow, but requires wallet mechanics.Low.
CapacitySmall relative to the commercial market.Aggregated, volatile.
OwnershipDecentralised protocol.Private, token-linked.

Akash Network

For: Teams with an explicit decentralisation requirement.

The catch: The operational overhead is real and the GPU supply is thin. Choose it for the principle, and know that you are.

Economics: Auction pricing can undercut everything. Availability of anything modern is the binding constraint.

io.net

For: Price-driven batch work by teams comfortable with the model.

The catch: The token layer is a real variable in your supply, not a payment detail.

Economics: Can be very cheap. Model the supply risk, not just the rate.

Neither table row is a price

Deliberately. Published on-demand rates at this layer move weekly, and essentially nobody signing a real contract pays them — every serious buyer pays less than every list figure either of these companies publishes. Quoting one here would date this page within a month.

The GPU rental price index carries dated, sourced figures instead, and the durable finding there is the spread: the identical H100 rents from roughly $1.38 to $12.29 an hour depending only on who you rent it from.

The layers underneath both

Whichever you pick is renting you chips in a building that needs power. In 2026 that is the constraint that binds: Microsoft has disclosed an Azure backlog it cannot fill for want of megawatts rather than accelerators, and the US interconnection queue exceeds 2,600 GW with roughly 80% of projects withdrawing before they energise.

Layer 2 — Silicon · Layer 1 — Energy · The interconnection queue

Verified 2026-09-09. We do not benchmark clusters and take no position paid for by either company. Where a provider here runs a referral programme it has not moved its placement — the comparison was written before any link was attached.

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