GPU model · price + stock · hourly snapshot
Nvidia L40 cloud rental prices
6 providers list the Nvidia L40, 5 have it in stock. Prices run from $0.69 to $1.38 per GPU hour — the same card, 2.0x apart.
LIVE Prices and stock checked 1 minute ago
Providers
Every provider renting the Nvidia L40
| Provider | From | Stock | Grab |
|---|---|---|---|
| Runpod | $0.69 | In stock | Grab |
| Massed Compute | $0.88 | In stock | Grab |
| QuantaCloud | $0.94 | In stock | Grab |
| Hyperstack | $1.00 | In stock | Grab |
| Excess Supply | $1.38 | In stock | Grab |
| Lium | $0.33 | Out of stock | Grab |
In stock first, then cheapest. Stock is what the provider reported at our last check. One GPU for a month (730h) at $0.69: $504. Lium publishes live counts: 27 GPUs at $0.33, 100% rented.
The Nvidia L40 sells out fast. Get one email when it is back in stock.
Price history
Price trend
$0.330 /GPU/hr · Oct 22
One point per day: the lowest listed $/GPU/hr across every provider we track, captured daily. 16 offers in the latest snapshot.
Configurations
All 17 configurations
| Configuration | VRAM | Per GPU/hr | Stock |
|---|---|---|---|
| 1x L40Runpod | 48 GB | $0.69 | In stock |
| 1x L40Massed Compute | 48 GB | $0.88 | In stock |
| 1x L40Massed Compute | 48 GB | $0.88 | In stock |
| 4x NVIDIA L40QuantaCloud | 192 GB | $0.94 | In stock |
| 1x NVIDIA L40QuantaCloud | 48 GB | $0.94 | In stock |
| 2x NVIDIA L40QuantaCloud | 96 GB | $0.94 | In stock |
| 2x L40Massed Compute | 96 GB | $0.99 | In stock |
| 1x L40Hyperstack | 48 GB | $1.00 | In stock |
| 2x L40Hyperstack | 96 GB | $1.00 | In stock |
| 4x L40Hyperstack | 192 GB | $1.00 | In stock |
| 8x L40SpotExcess Supply | 384 GB | $1.38 | In stock |
| 4x L40Massed Compute | 192 GB | $1.49 | In stock |
| 1x NVIDIA L40Lium | — | $0.33 | Out of stock |
| 2x L40Massed Compute | 96 GB | $0.99 | Out of stock |
| 8x L40Hyperstack | 384 GB | $1.00 | Out of stock |
| 8x L40Excess Supply | 384 GB | $1.38 | Out of stock |
| 4x L40Massed Compute | 192 GB | $1.49 | Out of stock |
Model fit
What fits in 48 GB
The question behind most rentals: will the model load. Sized against one Nvidia L40.
| Model | 16-bit | 8-bit | 4-bit |
|---|---|---|---|
| DeepSeek-V3 DeepSeek · 671B params · 37B active | 1,610 GB 34× · 22 GB free | 805 GB 17× · 11 GB free | 403 GB 9× · 29 GB free |
| Llama 3.1 405B Meta · 405B params | 972 GB 21× · 36 GB free | 486 GB 11× · 42 GB free | 243 GB 6× · 45 GB free |
| Qwen3 235B-A22B Alibaba · 235B params · 22B active | 564 GB 12× · 12 GB free | 282 GB 6× · 6 GB free | 141 GB 3× · 3 GB free |
| Mixtral 8x22B Mistral · 141B params · 39B active | 338 GB 8× · 46 GB free | 169 GB 4× · 23 GB free | 85 GB 2× · 11 GB free |
| Mistral Large 2 Mistral · 123B params | 295 GB 7× · 41 GB free | 148 GB 4× · 44 GB free | 74 GB 2× · 22 GB free |
| gpt-oss-120b OpenAI · 117B params · 5.1B active | 281 GB 6× · 7 GB free | 140 GB 3× · 4 GB free | 70 GB 2× · 26 GB free |
| Qwen2.5 72B Alibaba · 72.7B params | 174 GB 4× · 18 GB free | 87 GB 2× · 9 GB free | 44 GB 1× · 4 GB free |
| Llama 3.3 70B Meta · 70.6B params | 169 GB 4× · 23 GB free | 85 GB 2× · 11 GB free | 42 GB 1× · 6 GB free |
| Qwen3 32B Alibaba · 32.8B params | 79 GB 2× · 17 GB free | 39 GB 1× · 9 GB free | 20 GB 1× · 28 GB free |
| Gemma 2 27B Google · 27.2B params | 65 GB 2× · 31 GB free | 33 GB 1× · 15 GB free | 16 GB 1× · 32 GB free |
| Mistral Small 3 Mistral · 24B params | 58 GB 2× · 38 GB free | 29 GB 1× · 19 GB free | 14 GB 1× · 34 GB free |
| Llama 3.1 8B Meta · 8B params | 19 GB 1× · 29 GB free | 10 GB 1× · 38 GB free | 5 GB 1× · 43 GB free |
Required memory is weights plus 20% for KV cache and runtime at short context; long contexts and large batches need more. Cells tinted green fit on a single Nvidia L40.
Specifications
Nvidia L40 specifications
| Architecture | Ada Lovelace |
|---|---|
| Memory per GPU | 48 GB GDDR6 |
| Memory bandwidth | 864 GB/s |
| Release date | Q4 2022 |
| FP8 compute rate | 362 TFLOPS (dense), 724 with sparsity |
| FP16 / BF16 compute rate | 181.1 TFLOPS (dense), 362.1 with sparsity |
| INT8 compute rate | 362 TOPS (dense), 724 with sparsity |
| Process node | TSMC 4N |
| Board power | 300 W |
Alternatives