Methodology

As of November 11, 2026 at 5:01 AM UTC: 1399 prices from 49 providers for 78 GPUs, from 51 data feeds (45 working).

The numbers

$/PFLOP·h = price per GPU-hour ÷ peak PFLOPS at the precision you choose. For example, an H100 SXM at $2.00/h delivers 0.989 dense BF16 PFLOPS, so it costs $2.02 per PFLOP·h. All compute figures on PetaPrice are in PFLOPS.
Always dense. Vendors often quote 2:4-sparsity numbers, which double the headline figure. LLM training and inference almost never use structured sparsity, so we halve those numbers. Dense and sparse figures are never mixed.
GeForce cards use the FP16/BF16 tensor rate with FP32 accumulate, which is what mixed-precision training actually runs at. NVIDIA markets GeForce with the FP16-accumulate rate, which is twice as high.
These are datasheet peaks. Real model FLOPS utilization is usually 30–60%. Use the numbers to compare GPUs with each other, not to predict wall-clock time.
Two alternative lenses: $/GB·h of VRAM (what's the cheapest way to fit a model?) and $/TB/s·h of memory bandwidth (LLM decoding speed is usually bandwidth-bound).

The prices

Prices come directly from each provider wherever they publish them: public APIs (Vast.ai, RunPod, Verda, Vultr, Cudo, Hyperbolic, Scaleway, OVHcloud, Lium, Akash Network, Akamai (Linode), EmpirioLabs AI, Hetzner, STACKIT, T Cloud Public, Exoscale, Leaseweb, Hivenet), official price lists (AWS, Azure, Oracle Cloud) or their own pricing pages (Lambda, Nebius, Hyperstack, DigitalOcean, Together AI, Crusoe, Hot Aisle, TensorWave, Cirrascale, Seeweb, Massed Compute, Latitude.sh, CoreWeave, Oblivus, Thunder Compute, Koyeb, Sesterce, IONOS, Gcore, UpCloud, Infomaniak, Leafcloud, Civo, Arkane Cloud). Shadeform's live multi-cloud API and SkyPilot's public catalogs only fill in providers without a direct source, such as Google Cloud, Voltage Park or Denvr. Google Cloud prices include the machine each GPU needs. Fractional GPUs (MIG slices, vGPUs) are left out, and catalogs that stopped updating are ignored.
The data refreshes every 2 hours. Every price is normalized to USD per GPU per hour. The table also shows the price of the whole instance. Euro prices are converted at the European Central Bank's daily reference rate.
On-demand, spot (interruptible) and reserved/committed prices are never mixed. The default view is on-demand only.
Hyperscaler SKUs list the cheapest region, with a count of other regions. For marketplaces such as Vast.ai we fold identical listings together and show the cheapest three per configuration.
GPUs that providers list but that aren't in our spec sheet yet are shown as "specs pending" with their price and memory, so new hardware appears as soon as it's offered.
Prices exclude storage, egress and IP addresses unless the provider bundles them. Vast.ai prices include the host's default disk.

Rules every price passes

Whole GPUs only: MIG slices, vGPUs and time-shared GPUs are rejected.
The GPU name must match our spec sheet or clearly name a new accelerator, which then shows as “specs pending”. Anything else is dropped, not guessed.
The price must work out to between $0.01 and $200 per GPU-hour.
Each provider comes from one feed only, the most direct one, so nobody is counted twice.
Identical configurations (same provider, GPU, count and price type) keep their cheapest row; marketplaces keep their three cheapest.
Third-party catalogs not updated for 45 days or more are dropped.

Definitions

“From $X”: the lowest on-demand price per GPU-hour for a GPU, across all providers and regions.
Median: taken over each provider's cheapest on-demand price, so a provider with many configurations counts once.
Monthly cost: price per hour × 730 hours.
Value rank: GPUs with on-demand prices, ranked by $ per PFLOP-hour of dense FP16/BF16.

Mistakes we've fixed are listed on the Corrections page →

Where each provider's prices come from

Each provider is read from the most direct feed that has it: its own API or price list first, then its own pricing page, then a multi-cloud aggregator.

Provider	Feed	Type	Prices
Akamai (Linode)	Akamai (Linode) API	Official API or price list	7
Akash Network	Akash API	Official API or price list	6
AWS	AWS pricing	Official API or price list	62
Azure	Azure Retail API	Official API or price list	64
Cudo Compute	Cudo API	Official API or price list	2
EmpirioLabs AI	EmpirioLabs API	Official API or price list	41
Exoscale	Exoscale API	Official API or price list	22
GPU.ai	GPU.ai	Official API or price list	62
Hivenet	Hivenet API	Official API or price list	4
Hyperbolic	Hyperbolic API	Official API or price list	5
Leaseweb	Leaseweb API	Official API or price list	17
Lium	Lium	Official API or price list	65
Oracle Cloud	Oracle price list API	Official API or price list	15
OVHcloud	OVHcloud catalog API	Official API or price list	29
RunPod	RunPod	Official API or price list	64
Sesterce	Sesterce	Official API or price list	42
STACKIT	STACKIT API	Official API or price list	10
T Cloud Public	T Cloud Public API	Official API or price list	29
Vast.ai	Vast.ai	Official API or price list	157
Verda (DataCrunch)	Verda	Official API or price list	90
Vultr	Vultr	Official API or price list	4
Arkane Cloud	Arkane Cloud pricing page	Official pricing page	2
Civo	Civo pricing page	Official pricing page	87
CoreWeave	CoreWeave pricing page	Official pricing page	17
DigitalOcean	DigitalOcean pricing page	Official pricing page	24
Gcore	Gcore pricing page	Official pricing page	17
Hot Aisle	Hot Aisle pricing page	Official pricing page	4
Hyperstack	Hyperstack pricing page	Official pricing page	26
Infomaniak	Infomaniak pricing page	Official pricing page	7
IONOS	IONOS Cloud pricing page	Official pricing page	4
Koyeb	Koyeb pricing page	Official pricing page	22
Lambda	Lambda pricing page	Official pricing page	28
Latitude.sh	Latitude pricing page	Official pricing page	8
Leafcloud	Leafcloud pricing page	Official pricing page	12
Massed Compute	Massed Compute pricing page	Official pricing page	52
Nebius	Nebius pricing page	Official pricing page	6
Oblivus	Oblivus pricing page	Official pricing page	42
Seeweb	Seeweb pricing page	Official pricing page	44
TensorWave	TensorWave product pages	Official pricing page	3
UpCloud	UpCloud pricing page	Official pricing page	44
Crusoe	Shadeform	Aggregator	17
Denvr	Shadeform	Aggregator	6
Google Cloud	SkyPilot catalog	Aggregator	74
Horizon	Shadeform	Aggregator	2
IMWT	Shadeform	Aggregator	12
Latitude.sh	Shadeform	Aggregator	3
Paperspace	Shadeform	Aggregator	22
Phyntec	Shadeform	Aggregator	2
Scaleway	Shadeform	Aggregator	11
Voltage Park	Shadeform	Aggregator	4

Spec sheet

Peak dense throughput per GPU. INT8 is in TOPS. A dash means the GPU has no native support for that precision. (PFLOPS)

GPU	Vendor	Architecture	VRAM	GB/s	FP16 / BF16	FP8	FP4	INT8	TF32	FP32	FP64
GB300	NVIDIA	Blackwell Ultra	288 GB	8,000	2.5	5	15	0.33	1.25	0.08	0.0013
B300 SXM	NVIDIA	Blackwell Ultra	288 GB	8,000	2.25	4.5	13.5	0.33	1.1	0.075	0.0013
GB200	NVIDIA	Blackwell	186 GB	8,000	2.5	5	10	5	1.25	0.08	0.045
B200 SXM	NVIDIA	Blackwell	180 GB	7,700	2.25	4.5	9	4.5	1.1	0.075	0.037
H200 SXM	NVIDIA	Hopper	141 GB	4,800	0.989	1.98	—	1.98	0.495	0.067	0.067
H200 NVL	NVIDIA	Hopper	141 GB	4,800	0.835	1.67	—	1.67	0.417	0.06	0.06
GH200	NVIDIA	Hopper	96 GB	4,000	0.989	1.98	—	1.98	0.495	0.067	0.067
H100 SXM	NVIDIA	Hopper	80 GB	3,350	0.989	1.98	—	1.98	0.495	0.067	0.067
H100 NVL	NVIDIA	Hopper	94 GB	3,900	0.835	1.67	—	1.67	0.417	0.06	0.06
H100 PCIe	NVIDIA	Hopper	80 GB	2,000	0.756	1.51	—	1.51	0.378	0.051	0.051
H800 SXM	NVIDIA	Hopper	80 GB	3,350	0.989	1.98	—	1.98	0.495	0.067	0.001
H20	NVIDIA	Hopper	96 GB	4,000	0.148	0.296	—	0.296	0.074	0.044	0.001
A100 SXM 80GB	NVIDIA	Ampere	80 GB	2,039	0.312	—	—	0.624	0.156	0.0195	0.0195
A100 SXM 40GB	NVIDIA	Ampere	40 GB	1,555	0.312	—	—	0.624	0.156	0.0195	0.0195
A100 PCIe 80GB	NVIDIA	Ampere	80 GB	1,935	0.312	—	—	0.624	0.156	0.0195	0.0195
A100 PCIe 40GB	NVIDIA	Ampere	40 GB	1,555	0.312	—	—	0.624	0.156	0.0195	0.0195
A800	NVIDIA	Ampere	80 GB	1,935	0.312	—	—	0.624	0.156	0.0195	0.0195
L40S	NVIDIA	Ada Lovelace	48 GB	864	0.362	0.733	—	0.733	0.183	0.0916	0.0014
L40	NVIDIA	Ada Lovelace	48 GB	864	0.181	0.362	—	0.362	0.0905	0.0905	0.0014
L4	NVIDIA	Ada Lovelace	24 GB	300	0.121	0.242	—	0.242	0.06	0.0303	0.0005
A40	NVIDIA	Ampere	48 GB	696	0.15	—	—	0.299	0.0748	0.0374	0.0006
A30	NVIDIA	Ampere	24 GB	933	0.165	—	—	0.33	0.082	0.0103	0.0103
A10	NVIDIA	Ampere	24 GB	600	0.125	—	—	0.25	0.0625	0.0312	0.0005
A10G	NVIDIA	Ampere	24 GB	600	0.07	—	—	0.14	0.035	0.0312	0.0005
A2	NVIDIA	Ampere	16 GB	200	0.018	—	—	0.036	0.009	0.0045	—
A16	NVIDIA	Ampere	16 GB	200	0.018	—	—	0.036	0.009	0.0045	—
T4	NVIDIA	Turing	16 GB	320	0.065	—	—	0.13	—	0.0081	0.0003
V100 SXM2 32GB	NVIDIA	Volta	32 GB	900	0.125	—	—	—	—	0.0157	0.0078
V100 SXM2 16GB	NVIDIA	Volta	16 GB	900	0.125	—	—	—	—	0.0157	0.0078
V100 PCIe 32GB	NVIDIA	Volta	32 GB	900	0.112	—	—	—	—	0.014	0.007
V100 PCIe	NVIDIA	Volta	16 GB	900	0.112	—	—	—	—	0.014	0.007
V100S PCIe	NVIDIA	Volta	32 GB	1,134	0.13	—	—	—	—	0.0164	0.0082
P100	NVIDIA	Pascal	16 GB	732	0.0187	—	—	—	—	0.0093	0.0047
RTX PRO 6000 Blackwell	NVIDIA	Blackwell	96 GB	1,792	0.504	1.01	2.02	1.01	0.126	0.126	0.002
RTX PRO 6000 Blackwell Max-Q	NVIDIA	Blackwell	96 GB	1,792	0.439	0.878	1.76	0.878	0.11	0.11	0.0017
RTX 6000 Ada	NVIDIA	Ada Lovelace	48 GB	960	0.364	0.729	—	0.729	0.182	0.0911	0.0014
RTX 5000 Ada	NVIDIA	Ada Lovelace	32 GB	576	0.261	0.522	—	0.522	0.131	0.0653	0.001
RTX 4000 Ada	NVIDIA	Ada Lovelace	20 GB	360	0.0818	0.164	—	0.164	0.0409	0.0267	0.0004
RTX A6000	NVIDIA	Ampere	48 GB	768	0.155	—	—	0.31	0.0774	0.0387	0.0006
RTX A5000	NVIDIA	Ampere	24 GB	768	0.111	—	—	0.222	0.0556	0.0278	0.0004
RTX A4500	NVIDIA	Ampere	20 GB	640	0.0946	—	—	0.189	0.0473	0.0237	0.0004
RTX A4000	NVIDIA	Ampere	16 GB	448	0.0767	—	—	0.153	0.0384	0.0192	0.0003
RTX PRO 5000 Blackwell	NVIDIA	Blackwell	48 GB	1,344	0.268	0.535	1.07	0.535	0.067	0.0737	0.0012
RTX PRO 4000 Blackwell	NVIDIA	Blackwell	24 GB	672	0.147	0.294	0.589	0.294	0.037	0.0469	0.0007
RTX PRO 4000 Blackwell SFF	NVIDIA	Blackwell	24 GB	432	0.096	0.193	0.385	0.193	0.024	0.024	0.0004
RTX 5880 Ada	NVIDIA	Ada Lovelace	48 GB	960	0.277	0.555	—	0.555	0.139	0.0693	0.0011
RTX PRO 4500 Blackwell	NVIDIA	Blackwell	32 GB	896	0.211	0.422	0.843	0.422	0.053	0.0549	0.0009
RTX 4000 SFF Ada	NVIDIA	Ada Lovelace	20 GB	280	0.0767	0.153	—	0.153	0.0384	0.0192	0.0003
Quadro RTX 6000	NVIDIA	Turing	24 GB	672	0.131	—	—	0.261	—	0.0163	0.0005
RTX 2000 Ada	NVIDIA	Ada Lovelace	16 GB	224	0.048	0.096	—	0.096	0.024	0.012	0.0002
RTX A2000	NVIDIA	Ampere	12 GB	288	0.032	—	—	0.064	0.016	0.008	0.0001
Quadro RTX 8000	NVIDIA	Turing	48 GB	672	0.131	—	—	0.261	—	0.0163	0.0005
RTX 5090	NVIDIA	Blackwell	32 GB	1,792	0.209	0.419	1.68	0.838	0.105	0.105	0.0016
RTX 5080	NVIDIA	Blackwell	16 GB	960	0.113	0.225	0.9	0.45	0.0563	0.0563	0.0009
RTX 5070 Ti	NVIDIA	Blackwell	16 GB	896	0.0879	0.176	0.703	0.352	0.0439	0.0439	0.0007
RTX 4090	NVIDIA	Ada Lovelace	24 GB	1,008	0.165	0.33	—	0.661	0.0826	0.0826	0.0013
RTX 4080 SUPER	NVIDIA	Ada Lovelace	16 GB	736	0.104	0.209	—	0.418	0.0522	0.0522	0.0008
RTX 4080	NVIDIA	Ada Lovelace	16 GB	717	0.0975	0.195	—	0.39	0.0487	0.0487	0.0008
RTX 4070 Ti	NVIDIA	Ada Lovelace	12 GB	504	0.0802	0.16	—	0.321	0.0401	0.0401	0.0006
RTX 4070	NVIDIA	Ada Lovelace	12 GB	504	0.0583	0.117	—	0.233	0.0291	0.0291	0.0005
RTX 4060 Ti	NVIDIA	Ada Lovelace	16 GB	288	0.0441	0.0883	—	0.177	0.0221	0.0221	0.0003
RTX 3090 Ti	NVIDIA	Ampere	24 GB	1,008	0.08	—	—	0.32	0.04	0.04	0.0006
RTX 3090	NVIDIA	Ampere	24 GB	936	0.071	—	—	0.284	0.0356	0.0356	0.0006
RTX 3080 Ti	NVIDIA	Ampere	12 GB	912	0.0682	—	—	0.273	0.0341	0.0341	0.0005
RTX 3080	NVIDIA	Ampere	10 GB	760	0.0595	—	—	0.238	0.0298	0.0298	0.0005
RTX 3070	NVIDIA	Ampere	8 GB	448	0.0406	—	—	0.163	0.0203	0.0203	0.0003
RTX 3060	NVIDIA	Ampere	12 GB	360	0.0254	—	—	0.102	0.0127	0.0127	0.0002
RTX 2080 Ti	NVIDIA	Turing	11 GB	616	0.0538	—	—	0.215	—	0.0134	0.0004
RTX 4090D	NVIDIA	Ada Lovelace	24 GB	1,008	0.147	0.294	—	0.588	0.0735	0.0735	0.0011
RTX 5060 Ti	NVIDIA	Blackwell	16 GB	448	0.0474	0.0949	0.38	0.19	0.0237	0.0237	0.0004
RTX 4070 SUPER	NVIDIA	Ada Lovelace	12 GB	504	0.071	0.142	—	0.284	0.0355	0.0355	0.0006
RTX 3070 Ti	NVIDIA	Ampere	8 GB	608	0.0435	—	—	0.174	0.0217	0.0217	0.0003
RTX 3060 Ti	NVIDIA	Ampere	8 GB	448	0.0324	—	—	0.13	0.0162	0.0162	0.0003
Titan RTX	NVIDIA	Turing	24 GB	672	0.131	—	—	0.261	—	0.0163	0.0005
Instinct MI455X	AMD	CDNA 5	432 GB	23,300	5.03	20.1	40.3	5.03	—	0.315	0.005
Instinct MI355X	AMD	CDNA 4	288 GB	8,000	2.52	5.03	10.1	5.03	—	0.157	0.0786
Instinct MI350X	AMD	CDNA 4	288 GB	8,000	2.31	4.61	9.23	4.61	—	0.144	0.0721
Instinct MI325X	AMD	CDNA 3	256 GB	6,000	1.31	2.61	—	2.61	0.654	0.163	0.163
Instinct MI300X	AMD	CDNA 3	192 GB	5,300	1.31	2.61	—	2.61	0.654	0.163	0.163
Instinct MI250X	AMD	CDNA 2	128 GB	3,277	0.383	—	—	0.383	—	0.0957	0.0957
Instinct MI250	AMD	CDNA 2	128 GB	3,277	0.362	—	—	0.362	—	0.0905	0.0905
Instinct MI210	AMD	CDNA 2	64 GB	1,638	0.181	—	—	0.181	—	0.0453	0.0453
Instinct MI100	AMD	CDNA	32 GB	1,229	0.185	—	—	0.185	—	0.0461	0.0115
Radeon PRO W7900	AMD	RDNA 3	48 GB	864	0.123	—	—	0.123	—	0.0613	0.0019
Radeon RX 7900 XTX	AMD	RDNA 3	24 GB	960	0.123	—	—	0.123	—	0.0614	0.0019
Gaudi 3	Intel	Gaudi	128 GB	3,700	1.83	1.83	—	—	—	0.0287	—
Gaudi 2	Intel	Gaudi	96 GB	2,450	0.432	0.865	—	—	—	0.011	—
Data Center GPU Max 1550	Intel	Xe-HPC	128 GB	3,277	0.839	—	—	1.68	0.419	0.0524	0.0524
TPU v6e (Trillium)	Google TPU	TPU	32 GB	1,640	0.918	—	—	1.84	—	—	—
TPU v5p	Google TPU	TPU	95 GB	2,765	0.459	—	—	0.918	—	—	—
TPU v5e	Google TPU	TPU	16 GB	819	0.197	—	—	0.394	—	—	—
Trainium2	AWS Trainium	Trainium	96 GB	2,900	0.667	1.3	—	—	—	0.181	—
Trainium	AWS Trainium	Trainium	32 GB	820	0.19	0.19	—	—	—	0.0475	—
Inferentia2	AWS Trainium	Inferentia	32 GB	820	0.19	0.19	—	0.38	—	0.0475	—