GPU catalogue · live prices · snapshot 2026-10-19
Rent cloud GPUs: all 83 models, one fixed price sheet
83 NVIDIA models, 4,100+ GPUs online across 32 regions. On-demand always ≥30% under the market median — H100 SXM at $1.680 vs a $2.40 median. Interruptible −50%, reserved −35%.
Datacenter HBM GPUs — B200, H200, H100 SXM & NVL 5 models
The training flagships: HBM3/HBM3e memory, NVLink fabrics, SXM boards. This is the hardware behind frontier-model training runs — B200, H200, H100 SXM — at fixed prices at least 30% under the market median.
| GPU | VRAM | Arch | FP16 | Market | On-demand | Interruptible | Availability | Action |
|---|---|---|---|---|---|---|---|---|
| Rent B300 | 288 GB HBM3e | Blackwell | 2,800 TF | $9.92 | $6.944 −30% | $3.472 | 18× | Deploy |
| Rent B200 | 192 GB HBM3e | Blackwell | 2,250 TF | $9.25 | $6.475 −30% | $3.237 | 23× | Deploy |
| Rent H200 | 141 GB HBM3e | Hopper | 990 TF | $4.47 | $3.131 −30% | $1.565 | 90× | Deploy |
| Rent H100 SXM | 80 GB HBM3 | Hopper | 990 TF | $2.40 | $1.680 −30% | $0.840 | 50× | Deploy |
| Rent A100 SXM4 | 80 GB HBM2e | Ampere | 312 TF | $0.67 | $0.468 −30% | $0.234 | 134× | Deploy |
Datacenter PCIe GPUs — H100 PCIe, A100, L40S, L4 15 models
Server GPUs in standard PCIe form: H100 PCIe, A100, L40S, L4 and the Tesla line. The workhorses for inference fleets, fine-tuning and batch compute — easier to find, cheaper to run.
| GPU | VRAM | Arch | FP16 | Market | On-demand | Interruptible | Availability | Action |
|---|---|---|---|---|---|---|---|---|
| Rent H200 NVL | 141 GB HBM3e | Hopper | 835 TF | $4.00 | $2.803 −30% | $1.401 | 93× | Deploy |
| Rent H100 NVL | 80 GB HBM3 | Hopper | 835 TF | $3.01 | $2.105 −30% | $1.052 | 10× | Deploy |
| Rent H100 PCIE | 80 GB HBM2e | Hopper | 756 TF | $2.59 | $1.811 −30% | $0.905 | 10× | Deploy |
| Rent A800 PCIE | 80 GB GDDR6 | NVIDIA | 240 TF | $0.88 | $0.616 −30% | $0.308 | 7× | Deploy |
| Rent L40S | 48 GB GDDR6 | Ada Lovelace | 362 TF | $0.64 | $0.448 −30% | $0.224 | 64× | Deploy |
| Rent A100 PCIE | 80 GB HBM2e | Ampere | 312 TF | $0.56 | $0.388 −30% | $0.194 | 102× | Deploy |
| Rent A40 | 48 GB GDDR6 | NVIDIA | 144 TF | $0.53 | $0.373 −30% | $0.186 | 33× | Deploy |
| Rent L40 | 48 GB GDDR6 | Ada Lovelace | 181 TF | $0.46 | $0.318 −30% | $0.159 | 7× | Deploy |
| Rent L4 | 24 GB GDDR6 | Ada Lovelace | 121 TF | $0.28 | $0.196 −30% | $0.098 | 10× | Deploy |
| Rent A10 | 24 GB GDDR6 | Ampere | 125 TF | $0.24 | $0.168 −30% | $0.084 | 3× | Deploy |
| Rent Tesla T4 | 16 GB GDDR6 | Turing | 65 TF | $0.15 | $0.104 −30% | $0.052 | 5× | Deploy |
| Rent Tesla V100 | 16 GB HBM2 | Volta | 125 TF | $0.13 | $0.093 −30% | $0.046 | 120× | Deploy |
| Rent Tesla P100 | 16 GB HBM2 | Pascal | 19 TF | $0.09 | $0.065 −30% | $0.032 | 37× | Deploy |
| Rent Tesla P40 | 24 GB GDDR5X | Pascal | 12 TF | $0.08 | $0.056 −31% | $0.028 | 7× | Deploy |
| Rent Tesla P4 | 8 GB GDDR5X | Pascal | 6 TF | $0.03 | $0.019 −31% | $0.009 | 8× | Deploy |
Workstation GPUs — RTX PRO, RTX Ada & RTX A-series 21 models
ECC memory, big VRAM and studio drivers: RTX PRO 6000, RTX 6000 Ada, RTX A-series. Built for rendering, CAD/simulation and VRAM-hungry inference without flagship pricing.
| GPU | VRAM | Arch | FP16 | Market | On-demand | Interruptible | Availability | Action |
|---|---|---|---|---|---|---|---|---|
| Rent RTX PRO 6000 S | 96 GB GDDR7 | Blackwell | 450 TF | $1.40 | $0.983 −30% | $0.491 | 132× | Deploy |
| Rent RTX PRO 6000 WS | 96 GB GDDR7 | Blackwell | 505 TF | $1.40 | $0.981 −30% | $0.490 | 97× | Deploy |
| Rent RTX PRO 6000 Max-Q | 96 GB GDDR7 | Blackwell | 420 TF | $1.36 | $0.948 −30% | $0.474 | 54× | Deploy |
| Rent RTX PRO 5000 | 32 GB GDDR7 | Blackwell | 280 TF | $0.73 | $0.514 −30% | $0.257 | 61× | Deploy |
| Rent RTX 6000Ada | 48 GB GDDR6 | Ada Lovelace | 364 TF | $0.71 | $0.495 −30% | $0.247 | 10× | Deploy |
| Rent RTX 5880Ada | 48 GB GDDR6 | Ada Lovelace | 340 TF | $0.49 | $0.346 −30% | $0.173 | 4× | Deploy |
| Rent RTX 4500Ada | 24 GB GDDR6 | Ada Lovelace | 72 TF | $0.42 | $0.295 −30% | $0.147 | 13× | Deploy |
| Rent RTX 5000Ada | 32 GB GDDR6 | Ada Lovelace | 190 TF | $0.41 | $0.290 −30% | $0.145 | 4× | Deploy |
| Rent RTX A6000 | 48 GB GDDR6 | Ampere | 155 TF | $0.40 | $0.281 −30% | $0.140 | 17× | Deploy |
| Rent RTX PRO 4500 | 24 GB GDDR7 | Blackwell | 200 TF | $0.37 | $0.262 −30% | $0.131 | 5× | Deploy |
| Rent Q RTX 6000 | 24 GB GDDR6 | Turing | 65 TF | $0.29 | $0.206 −30% | $0.103 | 3× | Deploy |
| Rent RTX PRO 4000 | 20 GB GDDR7 | Blackwell | 150 TF | $0.27 | $0.187 −30% | $0.093 | 36× | Deploy |
| Rent Q RTX 8000 | 48 GB GDDR6 | Turing | 65 TF | $0.25 | $0.178 −30% | $0.089 | 10× | Deploy |
| Rent RTX A5000 | 24 GB GDDR6 | Ampere | 111 TF | $0.21 | $0.149 −30% | $0.074 | 31× | Deploy |
| Rent RTX 4000Ada | 20 GB GDDR6 | Ada Lovelace | 107 TF | $0.19 | $0.136 −30% | $0.068 | 6× | Deploy |
| Rent Titan RTX | 24 GB GDDR6 | Turing | 65 TF | $0.17 | $0.122 −30% | $0.061 | 15× | Deploy |
| Rent RTX A4000 | 16 GB GDDR6 | Ampere | 76 TF | $0.13 | $0.093 −30% | $0.046 | 124× | Deploy |
| Rent Q RTX 5000 | 16 GB GDDR6 | Turing | 48 TF | $0.11 | $0.074 −30% | $0.037 | 7× | Deploy |
| Rent Quadro P4000 | 8 GB GDDR5X | Pascal | 8 TF | $0.05 | $0.038 −30% | $0.019 | 7× | Deploy |
| Rent RTX A2000 | 6 GB GDDR6 | Ampere | 32 TF | $0.05 | $0.036 −30% | $0.018 | 17× | Deploy |
| Rent Quadro P2000 | 5 GB GDDR5X | Pascal | 15 TF | $0.03 | $0.019 −31% | $0.009 | 3× | Deploy |
GeForce RTX 50 series (Blackwell) 6 models
Blackwell consumer cards with GDDR7. The RTX 5090's 32 GB makes it the best value in dollars per token for mid-size LLMs; the smaller 50-series cards are ideal for image pipelines.
| GPU | VRAM | Arch | FP16 | Market | On-demand | Interruptible | Availability | Action |
|---|---|---|---|---|---|---|---|---|
| Rent RTX 5090 | 32 GB GDDR7 | Blackwell | 419 TF | $0.69 | $0.481 −30% | $0.240 | 783× | Deploy |
| Rent RTX 5070 Ti | 16 GB GDDR7 | Blackwell | 176 TF | $0.40 | $0.280 −30% | $0.140 | 53× | Deploy |
| Rent RTX 5080 | 16 GB GDDR7 | Blackwell | 225 TF | $0.33 | $0.234 −30% | $0.117 | 103× | Deploy |
| Rent RTX 5070 | 12 GB GDDR7 | Blackwell | 123 TF | $0.20 | $0.141 −30% | $0.070 | 26× | Deploy |
| Rent RTX 5060 Ti | 16 GB GDDR7 | Blackwell | 92 TF | $0.16 | $0.112 −30% | $0.056 | 149× | Deploy |
| Rent RTX 5060 | 8 GB GDDR7 | Blackwell | 74 TF | $0.12 | $0.086 −30% | $0.043 | 11× | Deploy |
GeForce RTX 40 series (Ada Lovelace) 10 models
Ada Lovelace consumer cards. The RTX 4090 remains the community favourite for Stable Diffusion, Flux and quantized LLMs — huge supply, low prices.
| GPU | VRAM | Arch | FP16 | Market | On-demand | Interruptible | Availability | Action |
|---|---|---|---|---|---|---|---|---|
| Rent RTX 4090D | 24 GB GDDR6X | Ada Lovelace | 296 TF | $0.67 | $0.467 −30% | $0.233 | 10× | Deploy |
| Rent RTX 4090 | 24 GB GDDR6X | Ada Lovelace | 330 TF | $0.51 | $0.354 −30% | $0.177 | 476× | Deploy |
| Rent RTX 4070S Ti | 16 GB GDDR6X | Ada Lovelace | 176 TF | $0.37 | $0.260 −30% | $0.130 | 13× | Deploy |
| Rent RTX 4080S | 16 GB GDDR6X | Ada Lovelace | 208 TF | $0.32 | $0.225 −30% | $0.112 | 8× | Deploy |
| Rent RTX 4070 Ti | 12 GB GDDR6X | Ada Lovelace | 160 TF | $0.27 | $0.187 −30% | $0.093 | 3× | Deploy |
| Rent RTX 4080 | 16 GB GDDR6X | Ada Lovelace | 195 TF | $0.24 | $0.168 −30% | $0.084 | 2× | Deploy |
| Rent RTX 4070 | 12 GB GDDR6X | Ada Lovelace | 117 TF | $0.18 | $0.123 −30% | $0.061 | 10× | Deploy |
| Rent RTX 4070S | 12 GB GDDR6X | Ada Lovelace | 142 TF | $0.18 | $0.123 −30% | $0.061 | 83× | Deploy |
| Rent RTX 4060 Ti | 8 GB GDDR6X | Ada Lovelace | 88 TF | $0.15 | $0.105 −30% | $0.052 | 54× | Deploy |
| Rent RTX 4060 | 8 GB GDDR6X | Ada Lovelace | 60 TF | $0.08 | $0.057 −30% | $0.028 | 3× | Deploy |
GeForce RTX 30 series (Ampere) 9 models
Ampere consumer cards. 24 GB RTX 3090s at entry-level prices are still the cheapest way into serious training experiments and LoRA work.
| GPU | VRAM | Arch | FP16 | Market | On-demand | Interruptible | Availability | Action |
|---|---|---|---|---|---|---|---|---|
| Rent RTX 3090 Ti | 24 GB GDDR6X | Ampere | 160 TF | $0.25 | $0.178 −30% | $0.089 | 9× | Deploy |
| Rent RTX 3090 | 24 GB GDDR6X | Ampere | 142 TF | $0.21 | $0.148 −30% | $0.074 | 293× | Deploy |
| Rent RTX 3080 | 10 GB GDDR6 | Ampere | 119 TF | $0.20 | $0.140 −30% | $0.070 | 51× | Deploy |
| Rent RTX 3080 Ti | 12 GB GDDR6 | Ampere | 136 TF | $0.20 | $0.137 −30% | $0.068 | 44× | Deploy |
| Rent RTX 3070 Ti | 8 GB GDDR6 | Ampere | 87 TF | $0.16 | $0.112 −30% | $0.056 | 1× | Deploy |
| Rent RTX 3060 Ti | 8 GB GDDR6 | Ampere | 65 TF | $0.15 | $0.103 −30% | $0.051 | 16× | Deploy |
| Rent RTX 3070 | 8 GB GDDR6 | Ampere | 81 TF | $0.11 | $0.075 −30% | $0.037 | 44× | Deploy |
| Rent RTX 3060 laptop | 6 GB GDDR6 | Ampere | 43 TF | $0.09 | $0.061 −30% | $0.030 | 13× | Deploy |
| Rent RTX 3060 | 12 GB GDDR6 | Ampere | 51 TF | $0.08 | $0.058 −30% | $0.029 | 169× | Deploy |
Previous-generation GPUs — Turing, Volta, Pascal 17 models
Turing, Volta, Pascal and friends — V100s, T4s, GTX cards. For CI runs, classic ML, student budgets and anything that does not need this decade's tensor cores. Prices start at pennies per hour.
| GPU | VRAM | Arch | FP16 | Market | On-demand | Interruptible | Availability | Action |
|---|---|---|---|---|---|---|---|---|
| Rent RTX 6000D | 96 GB GDDR6 | NVIDIA | 288 TF | $1.47 | $1.026 −30% | $0.513 | 4× | Deploy |
| Rent RTX 2080 Ti | 11 GB GDDR6 | Turing | 57 TF | $0.13 | $0.088 −30% | $0.044 | 18× | Deploy |
| Rent RTX 2060 | 6 GB GDDR6 | Turing | 26 TF | $0.11 | $0.074 −30% | $0.037 | 13× | Deploy |
| Rent GTX 1660 | 6 GB GDDR6 | Turing | 5 TF | $0.07 | $0.047 −31% | $0.023 | 4× | Deploy |
| Rent GTX 1660 Ti | 6 GB GDDR6 | Turing | 5 TF | $0.08 | $0.056 −30% | $0.028 | 6× | Deploy |
| Rent RTX 2070S | 8 GB GDDR6 | Turing | 45 TF | $0.08 | $0.056 −30% | $0.028 | 8× | Deploy |
| Rent GTX 1080 Ti | 11 GB GDDR5X | Pascal | 11 TF | $0.07 | $0.047 −31% | $0.023 | 10× | Deploy |
| Rent RTX 2070 | 8 GB GDDR6 | Turing | 42 TF | $0.07 | $0.047 −30% | $0.023 | 4× | Deploy |
| Rent GTX 1060 | 6 GB GDDR5X | Pascal | 4 TF | $0.07 | $0.046 −31% | $0.023 | 3× | Deploy |
| Rent RTX 2060S | 8 GB GDDR6 | Turing | 40 TF | $0.07 | $0.045 −31% | $0.022 | 2× | Deploy |
| Rent GTX 1070 Ti | 8 GB GDDR5X | Pascal | 8 TF | $0.06 | $0.042 −30% | $0.021 | 25× | Deploy |
| Rent GTX 1660 S | 6 GB GDDR6 | Turing | 5 TF | $0.06 | $0.042 −31% | $0.021 | 15× | Deploy |
| Rent GTX 1080 | 8 GB GDDR5X | Pascal | 9 TF | $0.05 | $0.037 −31% | $0.018 | 20× | Deploy |
| Rent GTX 1070 | 8 GB GDDR5X | Pascal | 7 TF | $0.05 | $0.033 −30% | $0.016 | 28× | Deploy |
| Rent GTX 1650 | 4 GB GDDR6 | Turing | 12 TF | $0.05 | $0.033 −31% | $0.016 | 3× | Deploy |
| Rent Titan Xp | 12 GB GDDR5X | Pascal | 12 TF | $0.05 | $0.033 −31% | $0.016 | 65× | Deploy |
| Rent GTX TITAN X | 12 GB GDDR5 | Maxwell | 7 TF | $0.04 | $0.026 −31% | $0.013 | 5× | Deploy |
How to choose a cloud GPU
Not sure which model fits your workload? The VRAM sizing guide and use-case pages pre-match GPUs to jobs; side-by-side comparisons settle the close calls and the cost calculator prices a full month.
Which GPU models can I rent on LowCostGPU?
All 83 current NVIDIA models with market liquidity — from the Tesla P4 at $0.019/hr up to B200 and B300 clusters. Every model on this page is deployable from the console right now; availability counts are live.
Are these prices per GPU or per instance?
Per GPU-hour, billed per second. An 8× machine costs exactly 8× the listed price — there is no multi-GPU premium and no hidden platform fee. Storage ($0.08/GB/mo) and bandwidth ($0.01/GB) are the only other line items.
How do I choose between a datacenter and a consumer GPU?
Consumer cards (RTX 4090/5090) win on price for single-GPU inference and image generation. Datacenter cards add ECC HBM memory, NVLink and multi-GPU scaling for training. If your model fits in 24–32 GB, start consumer; if you need 80 GB+ or multi-node, go H100/H200.