Neocloud GPU pricing: what neoclouds are and what they charge

A neocloud is a cloud provider built specifically around GPU compute for AI workloads, rather than around a general-purpose service catalog. Where a hyperscaler (AWS, Azure, Google Cloud) sells hundreds of services with GPUs as one line item, a neocloud sells GPU capacity as the product: on-demand instances, bare-metal nodes and clusters, usually at much lower per-GPU-hour rates. Examples we track daily include Baseten, Cerebrium, CoreWeave, Crusoe, DataCrunch, Daytona and 28 others.

Three practical differences. Price: on today's data (13 October 2026) the posted hyperscaler H100 median (AWS, Azure and Google Cloud) runs 2.2x the neocloud median ($6.98/hr vs $3.21/hr). Focus: neoclouds ship GPU instances, clusters and fast interconnect, not a catalog of hundreds of adjacent services. Terms: many neoclouds offer free or cheap egress and per-second or per-minute billing, where hyperscalers meter data leaving the cloud. The trade is ecosystem depth: if your stack already lives on a hyperscaler's managed services, leaving has switching costs.

For an H100, the cheapest on-demand neocloud rate we verified on 2026-10-13 is $1.99/hr at Voltage Park. That answer changes as prices move, which is the point of tracking it daily: the table on this page re-ranks every day, and marketplace or spot capacity goes lower still if your job tolerates interruption.

Increasingly yes, with nuance. Several neoclouds run SOC 2 audited datacenters, publish SLAs and carry GDPR paperwork; our enterprise matrix tracks which ones publish what. But the category spans a wide range: a datacenter-grade cloud with published SLAs is a different reliability proposition from a peer-to-peer marketplace of community hosts, even though both are cheaper than a hyperscaler. Interruptible tiers (spot, community) can be reclaimed with little warning by design. For production, match the tier to the workload and read the provider's SLA rather than assuming the category.

We track 34 GPU-specialized clouds daily: Baseten, Cerebrium, CoreWeave, Crusoe, DataCrunch, Daytona, DigitalOcean, fal, Fireworks AI, GMI Cloud, Hot Aisle, Hyperstack, Impossible Cloud, Jarvislabs, Koyeb, Lambda, Latitude.sh, Lium, Massed Compute, Modal, Nebius, OVHcloud, Prime Intellect, Replicate, RunPod, SaladCloud, Scaleway, Spheron, Synteq, TensorDock, Thunder Compute, Together AI, Voltage Park, Vultr. The label is loose at the edges: it spans large AI clouds like CoreWeave and Lambda, regional clouds like Nebius and DataCrunch, marketplaces like TensorDock, distributed networks like SaladCloud, and serverless GPU platforms like Modal and fal. What unites them is that GPU compute is the product, not a line item.