When the rate is per GPU
GPU-hour rate × GPUs billed × billed hours
Use the number of GPUs you must rent, even if your application uses fewer. Add any separately billed CPU and memory resources.
H100 CLOUD PRICING
H100 rental pricing.
Compare the actual offer.
On demand, 6 providers we track list H100 from $2.45 to $6.16 per GPU-hour, checked September 18 to September 29, 2026. Compare each rate with its configuration, billing unit and purchase terms.
PUBLISHED OFFER SNAPSHOTS
H100 price per GPU-hour.
By provider, with terms.
Alphabetical by provider, not a ranking. Dates apply to individual records. Compare currencies, minimum allocations and operating models before comparing the rate.
| Provider | Published price and billing unit | Configuration and terms | Evidence |
|---|---|---|---|
| CoreWeaveGPU cloud | $49.24USD · per 8-GPU instance / hour$6.16 / GPU-hour · calculated | On-demand 8 × HGX H100 · 80 GB each On-demand instance Approximately $6.16 per GPU-hour , calculated by dividing the instance rate by eight. The quoted unit is the full instance. | Published · checked 2026-09-18Official source Capacity needs confirmation |
| CrusoeGPU cloud | $3.90USD · per GPU / hour | On-demand H100 HGX · 80 GB On-demand GPU instance Multiply by the instance’s GPU count. This is the compute rate; storage and managed services have separate pricing. | Published · checked 2026-09-18Official source Capacity needs confirmation |
| Denvr DataworksGPU cloud | $2.45USD · GPU-hour | On-demand; billed per minute H100 SXM listing with 8 GPUs, 80 GB per GPU, 208 vCPUs, 1024 GB RAM and IB 3200G. Docs list H100 nodes in the Houston region. Docs say VMs come in 1, 2, 4 or 8 GPU sizes, so confirm the smallest H100 size. | Published · checked 2026-09-29Official source Capacity needs confirmation |
| EdgevanaMarketplace | From $1.99USD · per GPU / hour | Marketplace listing H100 SXM · 80 GB GPU marketplace listing The selected multi-GPU listing shows $7.98/hour total . The per-GPU figure is not the full server charge; listings vary by configuration. | Published · checked 2026-09-18Official source Capacity needs confirmation |
| LambdaGPU cloud | $4.29USD · per GPU / hour | On-demand 1 × H100 SXM · 80 GB On-demand instance The single-GPU configuration includes 26 vCPUs, 225 GiB RAM, and 2.75 TiB SSD. Multi-GPU configurations have different per-GPU rates. Taxes are additional. | Published · checked 2026-09-18Official source Capacity needs confirmation |
| NebiusGPU cloud | $3.85USD · per GPU / hour$4.50 from October 1, 2026 | On-demand HGX H100 On-demand GPU instance Published with 16 vCPUs and 200 GB RAM per GPU. Nebius lists $4.50 effective October 1, 2026. Preemptible pricing is a separate rate with different interruption terms. | Published · checked 2026-09-28Official source Capacity needs confirmation |
| RunpodGPU cloud | $3.49USD · per GPU / hour | On-demand H100 SXM · 80 GB GPU Pod listing The listed configuration has 20 vCPUs and 125 GB RAM. Storage, Serverless endpoints, and Clusters are priced separately. | Published · checked 2026-09-18Official source Capacity needs confirmation |
| Voltage ParkGPU cloud | From $1.99USD · GPU-hour | Advertised starting price; tier cards say contact for pricing HGX H100 on bare metal. Ethernet on-demand covers 1 to 1,016 GPUs. InfiniBand on-demand covers 8 to 1,016 GPUs. The tier cards say “Contact for pricing”, so confirm which tier the rate applies to. | Published · checked 2026-09-29Official source Capacity needs confirmation |
| VultrGPU cloud | From $2.30USD · GPU-hour8-GPU allocation: $18.40/hour (calculated) | Advertised starting price; confirm term HGX H100 listing with 8 GPUs, 640 GB total GPU memory, 216 vCPUs, 1914 GB RAM and 13 TB storage. Vultr’s public plans API lists this plan at $23.92 per hour for eight GPUs, so confirm the rate and term. | Published · checked 2026-09-29Official source Capacity needs confirmation |
These are published snapshots, not live inventory or guaranteed quotes. Serverless GPU-only rates, marketplace listings and whole-instance prices cover different purchases. Confirm storage, transfer, support, tax and start-date terms.
WORK THROUGH IT WITH AN ADVISOR
Make the quote fit your workload.
Bring your workload, launch date and what could change. We can help you evaluate capacity, compare proposals and identify the deployment support you need.
02 / BUILD YOUR BUDGET
From GPU-hour
to project cost.
First confirm the billing unit. A rate for one GPU and a rate for an entire multi-GPU instance need different calculations.
When the rate is per instance
Instance-hour rate × instances × billed hours
The instance price already includes its stated GPU count. Multiplying by that count again would overstate compute cost.
A worked example from the table
One CoreWeave 8-GPU H100 instance at $49.24 per hour × 100 billed hours = $4,924 in compute charges. That is 800 GPU-hours. This calculation uses the published snapshot above and excludes additional charges; it is not a quote.
Add the surrounding services.
Check storage capacity and persistence, data transfer, software licenses, managed services, support, and taxes. Ask which are included and which remain billable when compute stops.
Model your billed hours.
Include setup, data loading, idle time, and reruns. Confirm billing increments, minimum terms, and what action actually stops compute charges.
Compare the finished workload.
A lower hourly rate does not establish a lower project cost. Benchmark a representative job with the memory, interconnect, and storage configuration you plan to buy.
Validate the proposal before committing.
Can they deliver and expand?
Initial allocation, launch date, expansion and priority.
Evidence to request →Will the workload perform?
Test the proposed cluster, software and recovery path.
Evidence to request →Will the economics still work?
Model the full bill, commitments, resizing and renewal.
Evidence to request →Can the service keep running?
Evaluate provider continuity, site resilience and fallback capacity.
Evidence to request →Are data and responsibilities covered?
Define security, location, portability and operating ownership.
Evidence to request →WHY WORK WITH US
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LET’S PLAN YOUR GPU PROJECT
Tell us what
you need.
Two short steps. Tell us what you’re building and an advisor will help you evaluate providers, confirm capacity requirements, and plan the support you need to get into production.
Not sure which GPU or how many you need? Start with your workload and what could change.
Our advisory services are free to you. We’re compensated by whichever provider you choose through us.
What we’ll work through with you
- A provider shortlist suited to your workload and location.
- Initial capacity, expansion needs and delivery timing to confirm.
- Total cost, commitment terms and deployment support to compare.
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