Runpod
Our sponsor- On-Demand
- from $0.72
- Reserved
- on request
Mid-range Blackwell professional GPU for AI and 3D work.
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.
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 RTX PRO 4500 has 32 GB of VRAM. In practice, that's enough memory for roughly 41B parameters at 4-bit or 9B 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) | RTX PRO 4500s needed | Cost /hr | Cost /mo |
|---|---|---|---|---|
|
|
18 GB
|
1
|
$0.82
|
$590
|
|
|
22 GB
|
1
|
$0.82
|
$590
|
|
|
67 GB
|
4
|
$3.28
|
$2,362
|
|
|
178 GB
|
8
|
$6.56
|
$4,723
|
|
|
239 GB
|
9
|
–
|
–
|
|
|
306 GB
|
11
|
–
|
–
|
|
|
1,544 GB
|
54
|
–
|
–
|
Estimates based on the median on-demand rate. Memory is weights plus FP8 KV cache at 32K context per request (FP16/BF16 in the 16-bit column). 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 RTX PRO 4500 · Per GPU
| Compute · dense | |
|---|---|
| FP4 | 808.5 TFLOPS 1,617 with sparsity |
| FP8 | 404.3 TFLOPS 808.5 with sparsity |
| FP16 / BF16 | 202.1 TFLOPS 404.3 with sparsity |
| INT8 | 404.3 TOPS 808.5 with sparsity |
| FP32 | 51 TFLOPS |
| Precision support | FP4FP8FP16BF16TF32FP32INT8 |
| Memory | |
|---|---|
| Capacity | 32 GB GDDR7 |
| Bandwidth | 896 GB/s |
| Bus width | 256-bit |
| ECC | Yes |
| Silicon | |
|---|---|
| Architecture | Blackwell |
| Process | TSMC 4N |
| Transistors | 45.6 billion |
| Shader cores | 10,496 CUDA cores |
| Matrix cores | 328 Tensor cores |
| Compute units | 82 SMs |
| Fabric and host | |
|---|---|
| Host interface | PCIe 5.0 x16 |
| Power | |
|---|---|
| Board power | 200 W |
| Cooling | Active |
As of September 18, 2026, the median on-demand price is $0.82 per GPU per hour across 6 providers.
| Billing type | Configs | Median /GPU/hr | Cheapest |
|---|---|---|---|
On-demand | 21 | $0.82 | $0.34 (in stock, Vast.ai) |
Reserved | 1 | On request | |
Spot | 3 | $0.19 (in stock, Vast.ai) |
No median for spot: we only show this when at least 3 providers list the GPU on that billing type.
At 720 hours per month, one RTX PRO 4500 costs an estimated $590 at the median on-demand price. Cheapest verified in stock: $245 per month on-demand, $137 spot.
GetDeploying currently tracks RTX PRO 4500 configs from 6 providers. The cheapest verified in-stock on-demand configs come from Vast.ai, GPU.ai, Runpod and Massed Compute. See the full price comparison above for every provider and config.
One RTX PRO 4500 runs models up to roughly 41B parameters at 4-bit quantization or 9B 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.
32GB GDDR7 with Blackwell FP4 Tensor Cores. Mid-range professional GPU for AI development and rendering.
Desktop workstation form factor. Limited cloud availability. Better suited for local development than production inference or training at scale.
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