Every GPU price.
Verified
.
Prices from 173 clouds, read daily, converted to the true cost per GPU-hour and ranked on price, value and trust.
Prices read daily from providers’ own pages and APIs
Today's ranking · 75 GPUs ranked · on-demand · readings of the last 45 daysThree rankings for every GPU
Pick a GPU. Three independent rankings follow, ten places each: the lowest true cost, the most throughput per dollar, the most trusted provider. A GPU is ranked once at least 3 providers hold an eligible on-demand offer read in the last 45 days; every row carries its read date.
Cheapest
Lowest true cost per GPU-hour, in stock or stock unknown, newest reading per providerBest value
Most throughput per dollar for LLM inference · Trust ≥ 60 first, then provisional · estimatedMost trusted
Highest Trust Score among providers with an eligible offer · unscored providers follow, cheapest first

GPUBank1× · France · SingaporeTrust 93$1.35
Northflank1× · Oct 31Trust 92$2.74- 4
Nebius1× · Oct 31Trust 89$4.50 - 5
Baseten1× · Oct 31Trust 87$3.75
Listed, not ranked (fewer than 3 providers with an eligible on-demand offer in the last 45 days): Titan Xp, GTX 1070, GTX 1070 Ti, RTX 6000, GTX 1080, Titan RTX, RTX 4090 D, RTX 5880 Ada, Gaudi 2, GTX 1660.
Every current offer, filtered your way
Each row is one configuration read on the provider's own page, in the dated study or in the market report within the last 45 days: the newest reading per provider, GPU and rental mode. Filter by GPU, mode, provider type, region, stock, Trust Score, price ceiling, GPU count, memory and reading age; sort; open the receipt behind any number.
| Provider | GPU · configuration | Region · stock | True cost | Value | |
|---|---|---|---|---|---|
| 1× H100 PCIE80 GB per GPU | —Unavailable | $1.00no add-ons | — | Receiptread 23:48 UTC | |
| 1× H100 PCIE80 GB per GPU | —Unavailable | $1.00no add-ons | — | Receiptread 23:48 UTC | |
| 1× H100 PCIE16 vCPU · 188 GB RAM | France · SingaporeIn stock | $1.35no add-ons | Value 84 | Receiptread Oct 25 | |
| 1× H100 PCIE80 GB per GPU | —Unavailable | $1.59no add-ons | — | Receiptread 23:48 UTC | |
| 1× H100 SXM80 GB per GPU | —Stock unknown | $1.71no add-ons | Value 80 | Receiptread 23:56 UTC | |
| 2× H100 SXM80 GB per GPU | —Stock unknown | $1.71no add-ons | Value 80 | Receiptread 23:56 UTC | |
| 4× H100 SXM80 GB per GPU | —Stock unknown | $1.71no add-ons | Value 80 | Receiptread 23:56 UTC | |
| 8× H100 SXM80 GB per GPU | —Stock unknown | $1.71no add-ons | Value 80 | Receiptread 23:56 UTC | |
| 1× H100 PCIE16 vCPU · 128 GB RAM | USUnavailable | $1.75no add-ons | — | Receiptread 23:55 UTC | |
| 2× H100 SXM384 vCPU · 503.4 GB RAM | RUIn stock | $1.79no add-ons | Value 79 | Receiptread 23:48 UTC | |
| 1× H100 SXM80 GB per GPU | —Stock unknown | $1.80no add-ons | Value 79 | Receiptread 23:50 UTC | |
| 1× H100 SXM1 vCPU · 4 GB RAM | NorwayUnavailable | $1.82no add-ons | — | Receiptread 23:47 UTC | |
| 1× H100 SXM80 GB per GPU | —Stock unknown | $1.83no add-ons | Value 78 | Receiptread 23:56 UTC | |
| 1× H100 SXM20 vCPU · 125 GB RAM | France · SingaporeIn stock | $1.85no add-ons | Value 78 | Receiptread Oct 25 | |
| 8× H100 SXM2,048 GB RAM | SwedenStock unknown | $1.88no add-ons | Value 77 | Receiptread 23:55 UTC | |
| 8× H100 PCIE128 vCPU · 1,536 GB RAM | USUnavailable | $1.88no add-ons | — | Receiptread 23:55 UTC | |
| 8× H100 SXM208 vCPU · 928 GB RAM | USUnavailable | $1.89no add-ons | — | Receiptread 23:48 UTC | |
| 1× H100 SXM26 vCPU · 116 GB RAM | USUnavailable | $1.89no add-ons | — | Receiptread 23:48 UTC | |
| 4× H100 SXM104 vCPU · 464 GB RAM | USUnavailable | $1.89no add-ons | — | Receiptread 23:48 UTC | |
| 2× H100 SXM52 vCPU · 232 GB RAM | USUnavailable | $1.89no add-ons | — | Receiptread 23:48 UTC | |
| 1× H100 SXM24 vCPU · 283.4 GB RAM | IndiaIn stock | $1.93no add-ons | Value 76 | Receiptread 23:41 UTC | |
| 1× H100 PCIE28 vCPU · 180 GB RAM | CanadaIn stock | $1.98no add-ons | Value 76 | Receiptread 23:49 UTC | |
| 2× H100 PCIE60 vCPU · 360 GB RAM | CanadaIn stock | $1.98no add-ons | Value 76 | Receiptread 23:49 UTC | |
| 4× H100 PCIE124 vCPU · 720 GB RAM | CanadaUnavailable | $1.98no add-ons | — | Receiptread 23:49 UTC | |
| 8× H100 PCIE252 vCPU · 1,440 GB RAM | CanadaUnavailable | $1.98no add-ons | — | Receiptread 23:49 UTC |
io.net$1.001× H100 PCIE · —UnavailableTrust 42Receipt →
io.net$1.001× H100 PCIE · —UnavailableTrust 42Receipt →
GPUBank$1.351× H100 PCIE · France · SingaporeIn stockTrust 93Value 84Receipt →
io.net$1.591× H100 PCIE · —UnavailableTrust 42Receipt →
Gcore$1.711× H100 SXM · —UnknownTrust 80Value 80Receipt →
Gcore$1.712× H100 SXM · —UnknownTrust 80Value 80Receipt →
Gcore$1.714× H100 SXM · —UnknownTrust 80Value 80Receipt →
Gcore$1.718× H100 SXM · —UnknownTrust 80Value 80Receipt →
GPUNET$1.751× H100 PCIE · USUnavailable
Lium$1.792× H100 SXM · RUIn stockTrust 40Value 79Receipt →
HyperAI$1.801× H100 SXM · —UnknownValue 79Receipt →
CUDO Compute$1.821× H100 SXM · NorwayUnavailableTrust 80Receipt →
Beam$1.831× H100 SXM · —UnknownTrust 76Value 78Receipt →
GPUBank$1.851× H100 SXM · France · SingaporeIn stockTrust 93Value 78Receipt →
Airon AI$1.888× H100 SXM · SwedenUnknownValue 77Receipt →
GPUNET$1.888× H100 PCIE · USUnavailable
Voltage Park$1.898× H100 SXM · USUnavailableTrust 89Receipt →
Voltage Park$1.891× H100 SXM · USUnavailableTrust 89Receipt →
Voltage Park$1.894× H100 SXM · USUnavailableTrust 89Receipt →
Voltage Park$1.892× H100 SXM · USUnavailableTrust 89Receipt →
Vast.ai$1.931× H100 SXM · IndiaIn stockTrust 78Value 76Receipt →GPU.ai$1.98
1× H100 PCIE · CanadaIn stockValue 76Receipt →GPU.ai$1.98
2× H100 PCIE · CanadaIn stockValue 76Receipt →GPU.ai$1.98
4× H100 PCIE · CanadaUnavailableGPU.ai$1.98
8× H100 PCIE · CanadaUnavailable
Popular GPU providers
The scored clouds with the most configurations read in the last 45 days. Entry price, H100 price, catalogue breadth, footprint, billing and compliance as published, and the Trust Score built from their own documents.
Very wide catalogue: 81 GPU cards on the pricing page (site claims 68+ GPU types), from GTX 1060 to B300, with 'from' and median prices visible without an account
- From
- $0.03 / GPU·h
- H100
- $1.93
- Catalogue
- 92 GPU types
- Footprint
- 52 countries
GPU rental, whole machine, traffic included, billed per second.
- From
- $0.23 / GPU·h
- H100
- $1.35
- Catalogue
- 9 GPU types
- Footprint
- 4 countries
Two India regions (Noida, Mumbai) plus Atlanta, with India-hosted data and INR billing with GST invoices
- From
- $0.97 / GPU·h
- H100
- —
- Catalogue
- 12 GPU types
- Footprint
- 2 countries
Widest GPU range of the set read: GB300 (A4X Max), GB200 (A4X), B200, H200, H100, A100 80GB/40GB, RTX PRO 6000, L4, T4, P4, V100, P100
- From
- $0.35 / GPU·h
- H100
- $11.06
- Catalogue
- 11 GPU types
- Footprint
- 22 countries
Self-service Blackwell access: GB300 at 9.72 USD/GPU-h, B300 at 8.45, B200 at 6.85 on demand in 1x-8x sizes
- From
- $0.24 / GPU·h
- H100
- $4.79
- Catalogue
- 15 GPU types
- Footprint
- 1 country
Widest GPU range in the study set: GB200, H200, H100 SXM, H100 NVL, MI300X, A100 (three variants), RTX PRO 6000 Blackwell, A10, T4, V100 plus AMD V710/V620/MI25 and NVIDIA M60 graphics GPUs
- From
- $0.34 / GPU·h
- H100
- $11.06
- Catalogue
- 14 GPU types
- Footprint
- 32 countries
Wide self-serve catalogue: 17 GPU models bookable in the public console on 2026-09-29, from RTX A4000 to A100 SXM 80GB, in 1x to 10x VM configurations.
- From
- $0.44 / GPU·h
- H100
- $2.75
- Catalogue
- 27 GPU types
- Footprint
- 7 countries
Public, unauthenticated offers API (/api/gpu-offers) listing 331 live offers across 24 GPU types and 7 upstream providers at capture
- From
- $0.44 / GPU·h
- H100
- $2.64
- Catalogue
- 23 GPU types
- Footprint
- 12 countries
Broad self-serve catalogue: 21 Pod GPU configurations priced publicly, 43 GPU models in the GPU types reference including B300, B200, H200 and MI300X
- From
- $0.23 / GPU·h
- H100
- $2.69
- Catalogue
- 41 GPU types
- Footprint
- 11 countries
Largest GPU catalogue among the providers reviewed: B300, B200, GB200, H200, H100, A100, L40S, L4, A10G, T4, RTX PRO 6000, RTX PRO 4500, V100 and fractional L4
- From
- $0.53 / GPU·h
- H100
- $6.88
- Catalogue
- 18 GPU types
- Footprint
- 6 countries
Low published on-demand rates on older and consumer GPUs: V100 16GB $0.25, RTX 4090 $0.39, A100 SXM4 80GB $1.05 per GPU-hour
- From
- $0.25 / GPU·h
- H100
- —
- Catalogue
- 10 GPU types
- Footprint
- 8 countries
Bare-metal single-tenant servers with full root access, no hypervisor, no preemption (homepage FAQ).
- From
- $0.23 / GPU·h
- H100
- —
- Catalogue
- 21 GPU types
- Footprint
- 1 country
Per-GPU list prices published for 13 GPU SKUs from RTX A4000 (0.15 USD/h) to B300 (7.40 USD/h), with separate reservation and spot tables
- From
- $0.50 / GPU·h
- H100
- $2.50
- Catalogue
- 10 GPU types
- Footprint
- 3 countries
Low published EU prices: H100 SXM EUR 1.89/h (USD 2.166), spot EUR 0.76/h (USD 0.871), 12-month reservation EUR 1.61/h (USD 1.845).
- From
- $0.32 / GPU·h
- H100
- $2.11
- Catalogue
- 11 GPU types
- Footprint
- 1 country
Prices for all GPU plans visible without an account in EUR and USD, per server-hour and as a monthly estimate
- From
- $0.64 / GPU·h
- H100
- $2.00
- Catalogue
- 6 GPU types
- Footprint
- 1 country
Popular open models
The open-weight models teams deploy now: the newest flagship per family, then the image, video, speech and embedding models that run on rented GPUs. What each needs, and the cheapest real configuration that runs it today, per month at 730 hours.
763.2B · 16B active · 1M ctx · mit · Oct 17, 2026
2.8T · 104B active · 1M ctx · Kimi K3 License · Jul 27, 2026
816B · 42B active · 1M ctx · Muse Model License · Oct 15, 2026
428B · 23B active · 1M ctx · MiniMax Community License · Oct 23, 2026
501B · 23B active · 1M ctx · Apache-2.0 · Oct 16, 2026
600B · 27B active · 1M ctx · StepFun Model License 1.0 · Oct 15, 2026
27.8B · 256k ctx · apache-2.0 · Aug 2026
321B · 18B active · 1M ctx · mit · Aug 25, 2026
31.3B · 256k ctx · apache-2.0 · Apr 2, 2026
117B · 5.1B active · 128k ctx · apache-2.0 · Aug 5, 2025
675B · 41B active · 288k ctx · apache-2.0
79.7B · 3B active · 256k ctx · apache-2.0
5.6B · FLUX Kommunity License v1.0 · Oct 15, 2026
27B · 14B active · apache-2.0 · Jul 28, 2025
0.809B · mit · Oct 1, 2024
Which GPU fits your model?
Search any model of the catalogue, from the newest frontier MoE to image, video, speech and embedding models. We size the memory it needs at the chosen precision and context, then show the smallest real configuration on every GPU, priced from the cheapest eligible on-demand offer for that GPU count across every provider on file, with the alternatives, the read date and the receipt. Every step of the arithmetic is shown under the table.
- RTX 3060Cheapest fit$0.114× 12 GB · 90% used, tight$78 / month
Vast.aiTrust 78Receipt → - Tesla V100 32GB$0.142× 32 GB · 68% used$99 / month
Vast.aiTrust 78Receipt → - Titan Xp$0.164× 12 GB · 90% used, tight$119 / month
Vast.aiTrust 78Receipt → - Tesla P100$0.194× 16 GB · 68% used$138 / month
Vast.aiTrust 78Receipt → - RTX 3090$0.222× 24 GB · 90% used, tight$157 / month
Vast.aiTrust 78Receipt → - Quadro RTX 8000$0.231× 48 GB · 90% used, tight$167 / month
Vast.aiTrust 78Receipt → - RTX 6000 Ada$0.251× 48 GB · 90% used, tight$183 / month
Clore.aiTrust 46Receipt → - Titan RTX$0.272× 24 GB · 90% used, tight$196 / month
Vast.aiTrust 78Receipt →
| GPU | Smallest config | VRAM used | $ / hour · month | Cheapest at · alternatives | tok/s per user |
|---|---|---|---|---|---|
| RTX 3060Cheapest fit | 4× 12 GB48 GB total | 90% tight | $0.11$78 / month$0.03 per GPU | — | |
| Tesla V100 32GB | 2× 32 GB64 GB total | 68% | $0.14$99 / month$0.07 per GPU | — | |
| Titan Xp | 4× 12 GB48 GB total | 90% tight | $0.16$119 / month$0.04 per GPU | — | |
| Tesla P100 | 4× 16 GB64 GB total | 68% | $0.19$138 / month$0.05 per GPU | — | |
| RTX 3090 | 2× 24 GB48 GB total | 90% tight | $0.22$157 / month$0.11 per GPU | — | |
| Quadro RTX 8000 | 1× 48 GB48 GB total | 90% tight | $0.23$167 / month$0.23 per GPU | — | |
| RTX 6000 Ada | 1× 48 GB48 GB total | 90% tight | $0.25$183 / month$0.25 per GPU | — | |
| Titan RTX | 2× 24 GB48 GB total | 90% tight | $0.27$196 / month$0.13 per GPU | — |
How these numbers are computed for Qwen3 32B
- Weights. The published checkpoint (BF16) weighs 36.0 GB on disk, for 32.8B parameters (safetensors files summed on Hugging Face).
- Runtime headroom. +20% = 7.2 GB for the CUDA context, activations and allocator fragmentation. Serving stacks reserve memory the same way (vLLM takes 90% of a card by default), so a fit above 90% is flagged tight.
- KV cache. 2 (K and V) × 8 KV heads × 128 dims × 2 bytes = 4,096 B per token per layer, over 64 full-attention layers. Pick a context above to add it; weights-only is the floor for short prompts. config.json ↗
- Fit and price. The smallest count among 1, 2, 4 and 8 GPUs of one type whose total memory covers the need (tensor parallelism splits weights and cache across the cards). The price is the cheapest eligible on-demand offer for exactly that GPU count among all 110 GPUs and every provider on file (in stock or stock unknown, newest reading per provider, no aggregator or outlier rows), times the count; monthly = 730 hours. The alternatives column shows the next providers at the same count.
- Not included. Batching beyond one sequence, speculative-decoding drafts, LoRA adapters, multi-node machines above 8 GPUs, and provider-side reservations. Throughput figures, where shown, are the internal study's single-stream estimates, dated and marked as such.
Where prices are heading
Three baskets, one index each, rebased to 100 on the first day of the history; add any tracked GPU in dollars per GPU-hour. Zoom, pan, pull the range handles, read every point, toggle the dated events and a trend projection.
- 1Tesla V100 32GBlow confidence$1.41−45.2%4
- 2L40Shigh confidence$1.31+22.1%10
- 3RTX 6000 Adamedium confidence$1.02+32.5%8
- 4B200medium confidence$7.67+30.4%9
- 5H200high confidence$4.63+15.7%13
- 6RTX PRO 6000high confidence$2.14+28.5%16
- 7RTX 3090low confidence$0.24+9.1%5
- 8H100high confidence$3.55+9.2%19
- methodgpurank's own daily readings begin
From 2026-10-30, each day's median is computed from gpurank's own readings (the providers' pages and APIs read by its collector); earlier points come from a dated snapshot of 2026-10-28. The two use different provider sets, so a step at this date is a change of source, not of price.
gpurank methodology · checked Nov 1, 2026 → - priceNebius moves preemptible capacity to dynamic spot pricing
Spot H200 from $0.79, repriced every 15 minutes up to one cent below on-demand.
docs.nebius.com · checked Oct 16, 2026 ↗ - priceNebius raises on-demand prices by 17–21%
H100 $3.85 → $4.50, H200 $4.50 → $5.40, B200 $7.15 → $8.50, B300 $7.85 → $9.50 per GPU-hour.
docs.nebius.com · checked Oct 16, 2026 ↗
Three questions, one rule each
Rankings are computed, never negotiated. Here is what each podium measures, with today's answer for the H100, the six rules that apply to every row, and what a receipt looks like.
Question 01Cheapest
The lowest true cost per GPU-hour among offers read in the last 45 days and not marked unavailable, newest reading per provider. True cost is the list price plus the mandatory add-ons a provider publishes.
Rulelist price + storage while stopped + egress + public IPv4Today for the H100
GPUBank$1.35/ GPU·h
Question 02Best value
Throughput per dollar. A spec-based performance estimate (memory bandwidth for LLM inference, FP16 for training and image) divided by true cost, expressed as a percentile across all current offers.
Ruleproviders under Trust 60, or not scored, rank after the trusted ones, marked provisionalToday for the H100
GPUBankValue 84/100
Question 03Most trusted
Trust Score v0.1: six dimensions read from the provider's own documents, with the evidence and its date. Company, pricing transparency, reliability, security, compliance, support.
Rule“not disclosed” earns zero pointsToday for the H100
RunpodTrust 95/100
- 0145 days, dated rowsOnly readings from the last 45 days can be ranked, the newest per provider, GPU and mode; every row shows its read date. Older offers stay listed, in grey.
- 02One floor per marketplaceOn Vast.ai, Lium or Akash the floor price counts once in medians and podiums, never every host.
- 03One provider per podiumA provider appears once per podium; its other configurations are still in the table.
- 04Outliers suspendedPrices outside 0.3× to 3× the median are held back until a second reading confirms them.
- 05Resold capacity attributedWhen a provider resells another cloud's machines, the offer is listed under the operator and marked resold.
- 06Unavailable means unrankedAn offer the provider marks unavailable stays listed, in grey, and enters no ranking, median or podium until it is back in stock.

- Offer
- GPUBank · 1× H100 PCIE
- List price
- $1.35 / GPU·h
- Storage while stopped
- not published
- Egress
- not published
- Public IPv4
- not published
- True cost
- $1.35 / GPU·h
- Read
- Oct 25, 2026 · 12:00 UTC
- Source
- provider pricing page →
whole machine: vCPU, RAM, NVMe, IPv4 and traffic included
What moved this month
Six signals computed from the dataset, no commentary: the two indices, the H100 median, the biggest riser and faller among published movers, and where Blackwell Ultra can be rented today.
Questions people ask
Methodology →Where do the prices come from?
From the providers' own pricing pages and APIs, read on a schedule. Each number keeps the URL it was read from and the time of the reading. Prices relayed by third-party aggregators are shown for context but never ranked.
What is “true cost”?
The list price per GPU-hour plus the mandatory add-ons the provider publishes: storage billed while the instance is stopped, egress, a public IPv4, a minimum charge. The receipt attached to every number shows each line.
How fresh are the numbers?
Rankings only use readings from the last 45 days, the newest per provider, GPU and rental mode; every row shows its read date. Older offers stay visible in grey. The reference time of the current dataset is stamped on the rankings, the explorer and the bottom of every page.
Why is a cheaper offer not ranked first?
Because it is marked unavailable, is an older reading, is resold capacity, sits outside 0.3–3× the median, or is one host among many on a marketplace. The line under each podium counts what was left out and why.
Do providers pay to be listed or ranked?
No. Listing is free and rankings are computed from the rules above. Some outbound links carry a commission; this is disclosed on each page and has no effect on any ranking.
What does the Trust Score measure?
Six dimensions read from the provider's documents, each with its evidence and date: company, pricing transparency, reliability, security, compliance and support. It is not a review score, and anything not disclosed earns zero.


