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Best Neocloud / Neocloud vs hyperscaler

Neocloud vs hyperscaler

AWS, Azure and Google Cloud all rent GPUs. So why do AI labs, and the hyperscalers themselves, rent from neoclouds?

Updated 9 Nov 2026 · Sources linked inline · No paid placements

A hyperscaler (AWS, Microsoft Azure, Google Cloud) sells hundreds of cloud services, GPUs among them. A neocloud (CoreWeave, Nebius, Lambda, Crusoe) sells GPU compute and little else. Neoclouds are usually faster and more flexible for dedicated clusters; hyperscalers win when you need their other services or already have an enterprise agreement.

Side by side

NeocloudHyperscaler
Main productGPU servers and clustersHundreds of services; GPUs are one
HardwareOften dedicated bare metalMostly virtualised instances; dedicated options exist
Large clustersCore businessAvailable, often with long commitments and lead times
Newest GPUsOften first to marketClose behind, sometimes with their own chips too
ContractDirect, negotiated per dealEnterprise agreement, committed spend discounts
SupportEngineers who run the clusterTiered support plans
EcosystemKubernetes, Slurm, storageDatabases, data lakes, security, identity, the lot
Risk to checkFinancing, sites under constructionQuota approvals, capacity in your region

When a neocloud is the better choice

  • You need hundreds or thousands of GPUs on one fabric for a training run.
  • You want the newest systems, such as GB300 NVL72, as soon as possible.
  • Your stack is portable: containers, Kubernetes or Slurm, your own storage.
  • You'd rather negotiate one clear contract than draw down a cloud commitment.

When a hyperscaler is the better choice

  • Your data and app already live there, and moving data out is costly.
  • You have committed spend to burn down.
  • You need compliance certifications or services a neocloud doesn't offer.
  • You need a handful of GPUs inside an existing production setup.

Using both

Many teams train on a neocloud and serve on a hyperscaler, or the other way round. Big tech does it too: Microsoft and Meta both rent large amounts of neocloud capacity. If you split, plan for data transfer between them and keep one storage source of truth.

What independent ratings say

In SemiAnalysis ClusterMAX 3.0 (September 2026), two neoclouds, CoreWeave and Nebius, took the Platinum tier above every hyperscaler. Oracle and Google Cloud were Gold, Microsoft Azure Silver and AWS Bronze. Read what the tiers mean.

Questions

Is a neocloud cheaper than AWS?
For dedicated GPU clusters, neocloud quotes are often lower than hyperscaler on-demand rates, but committed-spend discounts can close the gap. Compare total cost over the term on the same configuration.
Is Oracle a hyperscaler or a neocloud?
Oracle Cloud is usually grouped with the hyperscalers because it offers a full general-purpose cloud, even though GPUs drive much of its recent growth.
Why do hyperscalers rent from neoclouds?
To get capacity faster than they can build it. Microsoft, for example, has capacity deals with both CoreWeave and Nebius.

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