About AIForge Works

Independent pricing intelligence for GPU cloud decisions.

Compare provider-published GPU pricing, specifications, and geography across nine providers on a common basis.

AIForge Works normalizes fragmented public catalogs for infrastructure, FinOps, procurement, and executive teams. Use that market view to evaluate workload fit, prices, regions, and alternatives before you deploy, renew, source, or negotiate—without granting cloud-account access.

Founded by Bobby Clay, author of the Weekly Pricing Pulse, AIForge Works keeps dated provider-published evidence, assumptions, and limitations visible.

Coverage AWS · Azure · GCP · OCI · CoreWeave · Lambda · Vultr · Nebius · Crusoe

Name note: AIForge Works is a commercial product and is not affiliated with any government program named “AI Forge.”

Why we exist

A clearer way to evaluate a fragmented GPU cloud market.

Cloud providers package GPU infrastructure differently across catalogs, regions, and purchase terms. AIForge Works translates that public evidence into a common comparison basis so teams can evaluate the market before they deploy, renew, source, or negotiate.

  • A public catalog entry shows what a provider has published. It does not establish orderability, capacity, or a live quote.
  • Normalized comparisons make inputs and assumptions visible; they do not reproduce a customer's negotiated terms.
  • Final capacity, fees, taxes, support, service commitments, and commercial terms must be confirmed with the provider.

How we work

Comparable evidence, with the limits made clear.

01

Dated evidence

Provider-published catalogs and specifications keep their source dates and evidence boundaries.

02

Comparable basis

Provider-specific packaging is normalized before price, geography, or workload options are compared.

03

No cloud credentials

Comparison does not require IAM roles, billing tokens, or access to a customer cloud account.

04

Analyst-supported

The GPU Decision Review adds analyst judgment and a QA-reviewed written brief without changing the evidence method.

Choose your next step

Make your next GPU decision with comparable market evidence.

Compare public pricing, workload fit, and geography in the platform, or bring one active choice to the analyst-led GPU Decision Review.