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 · Get the data
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
|
$0.92
|
$662
|
|
|
22 GB
|
1
|
$0.92
|
$662
|
|
|
67 GB
|
4
|
$3.68
|
$2,650
|
|
|
178 GB
|
8
|
$7.36
|
$5,299
|
|
|
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. Pricing methodology.
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 October 29, 2026, the median on-demand price is $0.92 per GPU per hour across 5 providers.
| Billing type | Configs | Median /GPU/hr | Cheapest |
|---|---|---|---|
On-demand | 18 | $0.92 | $0.72 (in stock, Runpod) |
Reserved | 1 | On request |
The cheapest verified in-stock on-demand RTX PRO 4500 tracked by GetDeploying is $0.72 per GPU per hour from Runpod.
At 720 hours per month, one RTX PRO 4500 costs an estimated $662 at the median on-demand price. Cheapest verified in stock: $518 per month on-demand.
GetDeploying currently tracks RTX PRO 4500 configs from 5 providers. The cheapest verified in-stock on-demand configs come from GPU.ai, Runpod, Massed Compute and EmpirioLabs AI. See the full price comparison above for every provider and config.
As of October 29, 2026, the median on-demand price has risen about 21% over the past 90 days to $0.92 per GPU per hour.
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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