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About

How we rank & score

hyperscaler · vm · Layer 2.5

AWS (P5, P6, G6)

Anyone whose data, VPC, compliance boundary and team already live in AWS. The GPU price is rarely the deciding number.

medium portability Movable with effort. Expect to redo images, storage wiring and networking.

What you are buying

Business model
A general cloud that also rents accelerators. Most expensive per hour, and the one your compliance team has already approved.
How you reach it
You get virtual machines. The familiar cloud model.
Accelerators
H100 (P5), B200 (P6), L4/L40S (G6), plus Trainium and Inferentia
Regions
Global
Pricing model
On-demand, spot, Savings Plans, and Capacity Blocks for reserved GPU windows.
Getting started
Existing AWS account.
Capacity
Constrained on the newest parts; Capacity Blocks exist precisely because on-demand cannot be relied on.
Ownership
Amazon.

Verified 2026-09-09. Fields reading “not published” are exactly that — we do not estimate a figure a vendor withholds.

The counterparty

Effectively none. This is the reason the premium exists.

A multi-year GPU commitment is a credit decision wearing a cloud contract. This is the section no benchmark covers and the one that decides what happens to your workload in 2028.

The catch

Reported around $9.36/GPU-hour for a B200 Capacity Block against roughly $5.50 at Lambda. You are buying integration and counterparty certainty, and paying for both.

The economics

Egress and adjacency costs usually dominate the GPU line. Compare total workload cost, never the hourly rate alone.

No rate is quoted on this page on purpose. Published list prices at this layer move weekly and essentially nobody signing a real contract pays them. Dated, sourced figures live in the GPU rental price index, where the spread between the cheapest and dearest seller of the identical chip runs to roughly 9x.

The layers underneath this one

Whatever you rent here is a chip in a building that needs power. In 2026 megawatts, not silicon, are the binding constraint on the whole industry — a frontier rack draws 120–200 kW against a 2026 average near 27 kW, and the US interconnection queue exceeds 2,600 GW.

Layer 2 — Silicon · Layer 1 — Energy · The interconnection queue · Tokens per watt

Compared against

Related providers

Sources

Macrostackdoes not benchmark clusters and does not pretend to. For hands-on performance ratings of GPU clouds, SemiAnalysis’s ClusterMAX tests the hardware directly. This page covers what their scorecard does not: who owns the company and how you get out.

The Macrostack brief

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