Data center GPU for large-batch inference and professional visualization.
Weekly median price per GPU per hour
By provider shows one card per company, placed where its best offer ranked. By configuration lists every offer.
What you can rent comes first: in stock, then waitlist, then not reported, then out of stock. Priced offers rank ahead of quote-only, and on-demand ahead of other billing types.
Within a group, five factors set the order:
We match the provider, its country, GPU model, form factor, billing type, availability and instance name. Matching is partial and case-insensitive. Everyday words work too, so "interruptible" finds spot and "sold out" finds out of stock.
USA
4 configs
1x-8x
USA
2 configs
1x
France
6 configs
1x-8x
UAE
1 config
1x
USA
1 config
1x
Switzerland
4 configs
1x-8x
USA
4 configs
1x
India
1 config
1x
USA
1 config
1x
No providers match .
Heads up: A provider's own page may quote a different figure, for example on tax, region or a promotion. A monthly-only plan shows a derived hourly rate. Verify before provisioning. More on how we price.
One A40 has 48 GB of VRAM. In practice, that's enough memory for roughly 60B parameters at 4-bit or 17B at 16-bit, assuming a 32K context. Below are some open-weight LLMs, with the estimated memory and GPUs each one needs.
| Model | Memory (INT4 / FP4) | A40s needed | Cost /hr | Cost /mo |
|---|---|---|---|---|
Qwen3.8-27B
27B
|
19 GB
|
1
|
$0.77
|
$554
|
Gemma 4 31B
30.7B
|
24 GB
|
1
|
$0.77
|
$554
|
GPT-OSS-120B
117B · 5.1B active
|
68 GB
|
2
|
$1.54
|
$1,109
|
GLM-5.3-Flash
320B · 18B active
|
178 GB
|
8
|
$6.16
|
$4,435
|
MiniMax-M3
428B · 23B active
|
241 GB
|
8
|
$6.16
|
$4,435
|
DeepSeek V4.1 Flash
552B · 16B active
|
306 GB
|
8
|
$6.16
|
$4,435
|
Kimi K3
2.8T · 104B active
|
1,545 GB
|
36
|
–
|
–
|
Estimates based on the median on-demand rate. Memory is weights plus FP16/BF16 KV cache at 32K context per request. GPU counts assume 90% of advertised VRAM is usable. No guarantee of runtime support, usable performance, or that a matching quantized build exists. How we estimate costs.
Nvidia A40 · Per GPU
| Compute · dense | |
|---|---|
| FP16 / BF16 | 149.7 TFLOPS 299.4 with sparsity |
| INT8 | 299.3 TOPS 598.6 with sparsity |
| FP32 | 37.4 TFLOPS |
| Precision support | FP16BF16TF32FP32INT4INT8 |
| Memory | |
|---|---|
| Capacity | 48 GB GDDR6 |
| Bandwidth | 696 GB/s |
| Bus width | 384-bit |
| ECC | Yes |
| Silicon | |
|---|---|
| Architecture | Ampere |
| Process | Samsung 8N |
| Transistors | 28.3 billion |
| Shader cores | 10,752 CUDA cores |
| Matrix cores | 336 Tensor cores |
| Compute units | 84 SMs |
| Fabric and host | |
|---|---|
| Host interface | PCIe 4.0 x16 |
| Power | |
|---|---|
| Board power | 300 W |
| Cooling | Passive |
Source: official Nvidia A40 datasheet.
As of September 13, 2026, the median on-demand price is $0.77 per GPU per hour across 6 providers with a priced on-demand config.
| Billing type | Configs | Median /GPU/hr | Cheapest |
|---|---|---|---|
On-demand | 17 | $0.77 | $0.28 (in stock, Vast.ai) |
Reserved | 7 | $0.65 | $0.25 (1 mo, in stock, Vast.ai) |
At 720 hours per month, one A40 costs an estimated $554 at the median on-demand price. Cheapest verified in stock: $202 per month on-demand, $180 reserved (1 mo).
GetDeploying currently tracks A40 configs from 9 providers. The cheapest verified in-stock on-demand configs come from Vast.ai, GPU.ai, Runpod and Sesterce. See the full price comparison above for every provider and config.
One A40 runs models up to roughly 60B parameters at 4-bit quantization or 17B at 16-bit, assuming a 32K context. Larger models run across multiple GPUs: the model table above shows the estimated memory and GPU count for popular open-weight LLMs.
48GB GDDR6 with Ampere Tensor Cores. Large VRAM for inference on bigger models. Supports both AI and professional visualization workloads.
No FP8 support. PCIe-only. For pure AI inference, the L40S offers better performance with Ada Lovelace architecture at similar or lower cost.
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