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?
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
| Neocloud | Hyperscaler | |
|---|---|---|
| Main product | GPU servers and clusters | Hundreds of services; GPUs are one |
| Hardware | Often dedicated bare metal | Mostly virtualised instances; dedicated options exist |
| Large clusters | Core business | Available, often with long commitments and lead times |
| Newest GPUs | Often first to market | Close behind, sometimes with their own chips too |
| Contract | Direct, negotiated per deal | Enterprise agreement, committed spend discounts |
| Support | Engineers who run the cluster | Tiered support plans |
| Ecosystem | Kubernetes, Slurm, storage | Databases, data lakes, security, identity, the lot |
| Risk to check | Financing, sites under construction | Quota 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?
Is Oracle a hyperscaler or a neocloud?
Why do hyperscalers rent from neoclouds?
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