01AGPU cloud · accelerator ledger· manual survey 2026-10-14 · automated rows 2026-10-14
V100 rental prices
What capacity costs. Compare the active venue stack for V100, the provider-class spread, and the long-run price direction where history is available.
V100 · reference price · Typical — 1 specialist cloud
$0.79/GPU·hr
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V100 reference price — Typical — 1 specialist cloud: $0.79/GPU·hr (n=1 · Lambda), observed Oct 14, 2026 (posted list/ask prices, not transactions). Cite as: AI Compute Tracker, ACT.V100.SPEC-MED@primary-on-demand-v1, https://aicomputetracker.com/gpu-cloud/v100/, AI Compute Tracker (aicomputetracker.com), CC BY 4.0; third-party terms apply to data from GPU cloud pricing pages, accessed <date you visit>
Replace “<date you visit>” with your access date.
— first observation
- Typical — 1 specialist cloud · n=1 · Lambda
- $0.79/GPU·hr
- Big-cloud list price · n=2 · Oracle OCI, AWS
- $2.95/GPU·hr
V100 · market coverage
4 venues
All-market access $0.79 → $3.06
V100 · Big-cloud list price
$2.95/GPU·hr
Oracle OCI · n=2
V100 · specs and price per PFLOP-hour
Spec sources on /hardware →Spec-sheet row: V100 SXM2, reviewed 2026-10-15 against vendor documents; est marks a figure that review did not confirm. Dense tensor rates only, one precision per column — never a sparse figure.
- Dense FP16
- 125TFLOPS
- Dense FP8
- not listed on the spec sheet
- Dense FP4
- not listed on the spec sheet
- Memory
- 32GB
- Bandwidth
- 0.9TB/s
- TDP
- 300W
- $ / PFLOP·hr · BF16
- FP16 tensor cores only (no BF16 rate)
FP16 tensor cores only (no BF16 rate), so no price per PFLOP-hour is shown.
Comparable price history
Loading evidence ledger…
V100 · daily venue-class bands
1 archived observation day — “Big-cloud list price”, “Typical — median of specialist clouds” and “Marketplace floor” per GPU-hour, each with its venue count (n)
More actions for V100 · daily venue-class bands
Data — endpoints, license, and freshness behind V100 · daily venue-class bands
The complete GPU price-history ledger: every series and dated observation, with billing, comparison, quality, and raw-evidence fields.
curl -s https://aicomputetracker.com/price-history.jsonPer-accelerator shard of the price-history ledger — the same series and point shapes filtered to one chip.
curl -s https://aicomputetracker.com/price-history/v100.jsonNo API key, CORS open (Access-Control-Allow-Origin: *) — fetch it from a browser, a notebook, or a cron job.
The site’s compilation is licensed CC BY 4.0 — attribution for this chart’s data “AI Compute Tracker (aicomputetracker.com), CC BY 4.0; third-party terms apply to data from Amazon Web Services, Oracle Cloud Infrastructure, GPU cloud pricing pages”. Third-party source data — such as Kalshi market data, Vast.ai marketplace data, and providers’ list prices — remains subject to its sources’ terms.
Live quotes
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Cite as: AI Compute Tracker, “V100 · daily venue-class bands”, ACT.V100.HYP-FLOOR@primary-on-demand-v1, ACT.V100.SPEC-MED@primary-on-demand-v1 (posted list/ask prices, not transactions), live quotes as of 2026-10-14, https://aicomputetracker.com/gpu-cloud/v100/#class-bands, AI Compute Tracker (aicomputetracker.com), CC BY 4.0; third-party terms apply to data from Amazon Web Services, Oracle Cloud Infrastructure, GPU cloud pricing pages, accessed <date you visit>
Replace “<date you visit>” with your access date.
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The frame keeps this chart’s own freshness stamp, any third-party source credit, and the attribution line; the source line under it links back here with the data’s licence terms. It updates when the site redeploys.
First observation 2026-10-14
Big-cloud list price $2.95/GPU·hr (n=2) · Typical — 1 specialist cloud $0.79/GPU·hr (n=1). The band chart builds as the daily archive grows — it draws once two or more observation days exist.
Daily class aggregates from published Neon quote snapshots, archived through 2026-10-14; their citable series IDs, with each comparison-policy version, are under Cite. A day or class without a comparable quote stays a gap — never interpolated; a median on fewer than 3 venues is drawn as its range (a vertical bar), never as a point on the line, and the tooltip and table view print that range.
V100 · current published quotes
Hourly prices retain each venue’s billing model, cheapest first. Observation dates vary by row: unavailable sources retain their last valid quote, never a new observation date. Unmarked rows: Provisional — Dated source-page observation; the raw payload is not yet pinned to the archive. Badges mark the exceptions.
| Provider | Class | Billing | $ / GPU·hr | Notes | Evidence | Observed |
|---|---|---|---|---|---|---|
| Lambda | Specialist | On-demand | $0.79 | 8-GPU Instances tier, the only V100 tier listed; applicable sales tax/VAT/GST extra. | Source — Lambda published pricing, Lambda | |
| Market average | Marketplace | Secondary market snapshot | $0.99 | Down from $1.84 a year ago | SecondarySource — AIMultiple GPU cloud market analysis, Market average | |
| Oracle OCI | Hyperscaler | On-demand | $2.95 | Published USD per GPU-hour; the 2-, 4- and 8-GPU V100 shapes list the same per-GPU rate. | Source — Oracle OCI published pricing, Oracle OCI | |
| AWS (p3) | Hyperscaler | On-demand | $3.06 | Published On-demand Linux rate $24.48/instance-hour divided by 8; p3.2xlarge and p3.8xlarge give the same $3.06 per GPU. | Source — AWS (p3) published pricing, AWS (p3) |
V100 rental price — common questions
Generated from the current datasets — each answer carries its own stamp and updates when the data refreshes.
How much does a V100 cost to rent?
As of the Oct 14, 2026 survey: the big-cloud list price is $2.95/GPU·hr; the typical price is $0.79/GPU·hr, one specialist cloud's list price (Lambda). All figures are posted list/ask prices, not transactions.
Where is V100 cheapest to rent?
As of the Oct 14, 2026 survey, Lambda lists the cheapest on-demand price at $0.79/GPU·hr (specialist class); no marketplace floor is currently quoted. These are posted list/ask prices, not transactions.
Background reading: Volta (microarchitecture) on AI Wiki. AI Wiki is run by the same team as AI Compute Tracker.