on demand observed floor
Hyperstack · $2.85/GPU hr
240 GPU-hours: $684.00
- Region sample
- Unspecified
- Observed
- Valid through
Published official-source price snapshot
Compare H100 GPU prices from 8 providers. Observed range: $1.29–$6.98 per GPU-hour, with source evidence, availability signals, and cost estimates.
H100 price snapshot:Checking the declared provider-SLA boundary.Valid through ; historical after that instant.
Citation-ready model evidence
Copy the reconciled model statement with its attribution, exact validity deadline, scope, limitations, canonical URL, and machine-readable evidence endpoint.
For H100, the public-evidence snapshot observed published cloud prices from $1.2899 to $6.9800 per GPU-hour across 8 providers; the latest included observation was 2026-09-09T22:35:29Z.
Valid through ; after that instant, describe the figures as a historical snapshot and verify the linked provider evidence.
Each card shows the lowest observed representative rate within its own purchase model. Spot and on-demand are intentionally not placed in one cheapest-to-expensive ranking because interruption risk, capacity behavior, and commercial terms are not interchangeable.
These are price floors, not recommendations: availability, region coverage, support, commitments, and workload fit can change the better purchasing choice.
on demand observed floor
240 GPU-hours: $684.00
spot observed floor
240 GPU-hours: $309.58
Purchase models are kept separate because interruption risk, commitment terms, and capacity behavior are not interchangeable. Each range uses only representative offers that were inside SLA when the snapshot was generated.
Spot vs on-demand low end
The lowest representative spot rate is $1.29/GPU hr versus $2.85/GPU hr for on-demand. This compares observed price floors only; spot interruption risk, capacity, regions and workload suitability remain separate decisions.
Decision read: Spot has the lower observed floor in this snapshot. Treat that gap as a candidate saving only for workloads that can tolerate interruption and after checking capacity, regions, and workload fit.
Compute-only break-even: at these observed floors, spot could consume up to 120.9% more billed GPU-hours before its compute cost matches the on-demand floor. This threshold does not price engineering work, checkpointing, restart latency, SLA exposure, lost progress, or opportunity cost.
160 GPU-hours · observed floors
Spot floor: $206.38 · On-demand floor: $456.00.
Compute retry budget: spot could add up to 193.5 billed GPU-hours at this baseline before matching the on-demand floor's compute spend.
Price-floor scenario only; interruption risk, capacity, regions, commitments and workload suitability are not priced into this comparison.
240 GPU-hours · observed floors
Spot floor: $309.58 · On-demand floor: $684.00.
Compute retry budget: spot could add up to 290.3 billed GPU-hours at this baseline before matching the on-demand floor's compute spend.
Price-floor scenario only; interruption risk, capacity, regions, commitments and workload suitability are not priced into this comparison.
730 GPU-hours · observed floors
Spot floor: $941.63 · On-demand floor: $2,080.50.
Compute retry budget: spot could add up to 882.9 billed GPU-hours at this baseline before matching the on-demand floor's compute spend.
Price-floor scenario only; interruption risk, capacity, regions, commitments and workload suitability are not priced into this comparison.
Across the representative offers in this snapshot, the normalized rate runs from $1.29 to $6.98 per GPU-hour, a gap of $5.69. At 730 GPU-hours, that rate gap corresponds to $4,153.77.
160 GPU-hours
Observed compute budget range: $206.38–$1,116.80 at this usage level.
If the observed floor rate were otherwise suitable for the same workload, that ceiling budget would mathematically cover 865.8 GPU-hours — 705.8 more than this scenario.
Difference between the lowest and highest representative H100 rates at this usage level.
240 GPU-hours
Observed compute budget range: $309.58–$1,675.20 at this usage level.
If the observed floor rate were otherwise suitable for the same workload, that ceiling budget would mathematically cover 1298.7 GPU-hours — 1058.7 more than this scenario.
Difference between the lowest and highest representative H100 rates at this usage level.
730 GPU-hours
Observed compute budget range: $941.63–$5,095.40 at this usage level.
If the observed floor rate were otherwise suitable for the same workload, that ceiling budget would mathematically cover 3950.2 GPU-hours — 3220.2 more than this scenario.
Difference between the lowest and highest representative H100 rates at this usage level.
Read from the budget floor, the highest observed representative rate is 441.1% above the lowest; read from the ceiling, the lowest is 81.5% below the highest. This is price dispersion, not a guaranteed saving: purchase model, availability, region coverage, support, commitments, and workload fit can differ between offers.
Representative comparable offers were normalized to a per-GPU-hour rate and ranked from lowest to highest when this snapshot was generated.
| Provider | Variant | Market | Price | 730 GPU hr | Freshness | Observed | Evidence |
|---|---|---|---|---|---|---|---|
| Microsoft Azure | NVL 94GB | spot | $1.29/GPU hr | $941.63 | recentValid through 2026-09-10T04:35:25Z | Source | |
| Nebius AI Cloud | NVLink 80GB | spot | $2.15/GPU hr | $1,569.50 | recentValid through 2026-09-10T22:35:29Z | Source | |
| Hyperstack | H100 | on demand | $2.85/GPU hr | $2,080.50 | recentValid through 2026-09-10T22:35:19Z | Source | |
| Civo | H100 | on demand | $2.99/GPU hr | $2,182.70 | recentValid through 2026-09-10T22:35:19Z | Source | |
| Lambda | H100 | on demand | $3.79/GPU hr | $2,766.70 | recentValid through 2026-09-10T22:35:19Z | Source | |
| Nebius AI Cloud | NVLink 80GB | on demand | $3.85/GPU hr | $2,810.50 | recentValid through 2026-09-10T22:35:29Z | Source | |
| Crusoe Cloud | H100 | on demand | $3.90/GPU hr | $2,847.00 | recentValid through 2026-09-10T22:35:19Z | Source | |
| DigitalOcean | H100 | on demand | $4.41/GPU hr | $3,219.30 | recentValid through 2026-09-10T22:35:19Z | Source | |
| Paperspace | SXM 80GB | on demand | $5.95/GPU hr | $4,343.50 | recentValid through 2026-09-10T22:35:29Z | Source | |
| Microsoft Azure | NVL 94GB | on demand | $6.98/GPU hr | $5,095.40 | recentValid through 2026-09-10T04:35:25Z | Source |
These are explicitly named regions reported by offers that were comparable and inside SLA when the snapshot was generated. Counts and provider identities describe observed catalog coverage, not live capacity or guaranteed availability; unspecified placements are not assigned to a region.
Regional provider concentration
0 observed regions included comparable H100 catalog evidence inside SLA from at least two providers at publication, while 33 were represented by one provider only.
Cross-provider catalog coverage: 0% of explicitly named regions.
3+ provider catalog depth: 0 named regions (0%) include a third observed provider option. This is a deeper catalog-diversity signal only, not proof that those providers are operationally substitutable or simultaneously available.
Decision read: Every explicitly named region in this published comparable snapshot is represented by one provider only, so regional fallback planning has no cross-provider catalog evidence here.
Single-provider region watchlist: eastus2 — Microsoft Azure, centralus — Microsoft Azure, eastus — Microsoft Azure, plus 30 more in the region table below. Each provider shown is only the sole provider represented by comparable catalog rows for that named region in this published snapshot; it is not a live availability or exclusivity claim.
This is a catalog-breadth signal for fallback planning, not proof of simultaneous capacity, failover readiness, quota, latency, workload fit, or contractual substitutability.
| Region | Offers inside SLA at publication | Providers represented | Observed providers |
|---|---|---|---|
| eastus2 | 16 | 1 | Microsoft Azure |
| centralus | 14 | 1 | Microsoft Azure |
| eastus | 14 | 1 | Microsoft Azure |
| northcentralus | 11 | 1 | Microsoft Azure |
| polandcentral | 10 | 1 | Microsoft Azure |
| swedencentral | 10 | 1 | Microsoft Azure |
| japaneast | 8 | 1 | Microsoft Azure |
| koreacentral | 8 | 1 | Microsoft Azure |
| southcentralus | 8 | 1 | Microsoft Azure |
| southeastus | 8 | 1 | Microsoft Azure |
| spaincentral | 8 | 1 | Microsoft Azure |
| australiaeast | 6 | 1 | Microsoft Azure |
| canadacentral | 6 | 1 | Microsoft Azure |
| centralindia | 4 | 1 | Microsoft Azure |
| germanywestcentral | 4 | 1 | Microsoft Azure |
| indonesiacentral | 4 | 1 | Microsoft Azure |
| japanwest | 4 | 1 | Microsoft Azure |
| koreasouth | 4 | 1 | Microsoft Azure |
| malaysiawest | 4 | 1 | Microsoft Azure |
| westeurope | 4 | 1 | Microsoft Azure |
| westus | 4 | 1 | Microsoft Azure |
| westus2 | 4 | 1 | Microsoft Azure |
| westus3 | 4 | 1 | Microsoft Azure |
| eu-north1 | 2 | 1 | Nebius AI Cloud |
| jioindiacentral | 2 | 1 | Microsoft Azure |
| jioindiawest | 2 | 1 | Microsoft Azure |
| southafricanorth | 2 | 1 | Microsoft Azure |
| southafricawest | 2 | 1 | Microsoft Azure |
| switzerlandnorth | 2 | 1 | Microsoft Azure |
| uaenorth | 2 | 1 | Microsoft Azure |
| uksouth | 2 | 1 | Microsoft Azure |
| westcentralus | 2 | 1 | Microsoft Azure |
| ny2 | 1 | 1 | Paperspace |
3 of 10 representative offers (30%) have a non-unknown deployment status backed by a separate HTTPS evidence source and a valid observation time.
Deployability evidence gap
7 representative offers lacked qualifying deployment-eligibility evidence in this published snapshot and remain explicitly unevidenced here.
Decision read: 7 representative offers in this published snapshot should still be treated as unknown for deployability comparisons; do not use a price row as a substitute for capacity evidence.
Deployment eligibility is separate from price freshness. It does not prove live stock or allocatable capacity; offers without qualifying evidence remain explicitly unknown.
Availability is tracked separately from pricing. The evidence kind distinguishes deployment eligibility from live stock or allocatable capacity; none of those claims is inferred from a listed price.
| Provider | Market | Regions | Status | Evidence kind | Observed | Evidence |
|---|---|---|---|---|---|---|
| Microsoft Azure | spot | eastus | unknown | unknown | Not separately observed | No separate source |
| Nebius AI Cloud | spot | eu-north1 | available | deployment eligibility | Availability source | |
| Hyperstack | on demand | Unspecified | unknown | unknown | Not separately observed | No separate source |
| Civo | on demand | Unspecified | unknown | unknown | Not separately observed | No separate source |
| Lambda | on demand | Unspecified | unknown | unknown | Not separately observed | No separate source |
| Nebius AI Cloud | on demand | eu-north1 | available | deployment eligibility | Availability source | |
| Crusoe Cloud | on demand | Unspecified | unknown | unknown | Not separately observed | No separate source |
| DigitalOcean | on demand | Unspecified | unknown | unknown | Not separately observed | No separate source |
| Paperspace | on demand | ny2 | available | deployment eligibility | Availability source | |
| Microsoft Azure | on demand | eastus | unknown | unknown | Not separately observed | No separate source |
Enter the GPU-hours you expect to consume. The estimate uses the same lowest and highest representative hourly rates shown above and excludes storage, bandwidth, support, taxes, commitments, and negotiated discounts.
These estimates multiply GPU-hours by the lowest and highest representative hourly rates above. They exclude storage, bandwidth, support, taxes, commitments, and negotiated discounts.
| GPU-hours | Published price range |
|---|---|
| 40 | $51.60–$279.20 |
| 160 | $206.38–$1,116.80 |
| 240 | $309.58–$1,675.20 |
| 730 | $941.63–$5,095.40 |
Open the exact provider × H100 decision sheets that passed the autonomous publication gates for this snapshot. Each page keeps provider-specific regions, configurations, evidence, and normalized rates separate from the broader market view above.
Independent human review
If your choice also depends on workload fit, capacity, contracts, support or migration risk, send us the shortlist and constraints. The fixed-scope review returns a source-linked decision memo and does not accept provider commissions.
Review the broader GPU cloud pricing hub, the data sources, the editorial policy, and the corrections policy to inspect how SaaS Sentinel sources, reviews, and corrects published evidence.