NVIDIA RTX PRO 4000 cloud GPU rental
Rent an NVIDIA RTX PRO 4000 cloud GPU from $0.616 per hour with 24 GB of GDDR7 at 672 GB/s of memory bandwidth. FastInfra bills pods per minute with no commitment, so a one-hour experiment costs $0.616 and you stop paying the moment you delete the pod. Run 1 to 4 GPUs per pod, connect over SSH or JupyterLab, and see the exact price before you deploy.
Prices synced November 3, 2026 · billed per minute
RTX PRO 4000 specs and pricing
The NVIDIA RTX PRO 4000 is a workstation Blackwell GPU with 24 GB of GDDR7 at 672 GB/s of memory bandwidth. On FastInfra it is a good fit for 7B–13B inference, LoRA fine-tuning, ComfyUI and Stable Diffusion. As a rule of thumb, one RTX PRO 4000 holds the weights of a model of about 9.5B parameters at 16-bit precision, or about 38B with 4-bit quantization, after leaving room for the KV cache.
The RTX PRO 4000 runs on the Secure tier in vetted datacenters at $0.616 per GPU-hour.
RTX PRO 4000 price per hour by GPU count
Live FastInfra prices per pod-hour. Pods bill per minute, so you pay only for the minutes a pod exists.
| Pod size | Total VRAM | Secure / hr | Month (730 h, lowest) |
|---|---|---|---|
| 1× RTX PRO 4000 | 24 GB | $0.616 | $450 |
| 2× RTX PRO 4000 | 48 GB | $1.23 | $899 |
| 4× RTX PRO 4000 | 96 GB | $2.46 | $1,799 |
What an RTX PRO 4000 costs over time
One GPU at the lowest on-demand rate ($0.616/hr).
| Duration | On-demand |
|---|---|
| 1 hour | $0.616 |
| 8-hour working day | $4.93 |
| 24 hours | $14.78 |
| 1 week (168 hours) | $103 |
| 1 month (730 hours) | $450 |
Which LLMs fit on the RTX PRO 4000?
GPUs needed to hold the model weights with about 20% of VRAM left for the KV cache. Rule of thumb only: long contexts and big batches need more.
| Model size | Examples | FP16 / BF16 | 8-bit | 4-bit |
|---|---|---|---|---|
| 7–8B | Llama 3.1 8B, Qwen3 8B, Mistral 7B | 1 GPU | 1 GPU | 1 GPU |
| 12–14B | Gemma 3 12B, Qwen3 14B, Phi-4 | 2 GPUs | 1 GPU | 1 GPU |
| 27–32B | Gemma 3 27B, Qwen3 32B | 4 GPUs | 2 GPUs | 1 GPU |
| 70B | Llama 3.3 70B | Needs more GPUs | 4 GPUs | 2 GPUs |
| 120B | GPT-OSS 120B | Needs more GPUs | Needs more GPUs | 4 GPUs |
| 235B | Qwen3 235B-A22B | Needs more GPUs | Needs more GPUs | Needs more GPUs |
Best for
7B–13B inference, LoRA fine-tuning, ComfyUI and Stable Diffusion.
About the Blackwell architecture
RTX Blackwell cards pair fifth-generation Tensor Cores (with FP4 and FP8 support) with GDDR7 memory. They give much of the inference throughput of datacenter parts at a lower hourly price, and suit LLM serving with quantized weights, image and video generation, and fine-tuning of small and mid-size models. Use a CUDA 12.8+ image for full Blackwell support.
Only need inference?
If you want to call an open model such as Llama, Qwen, DeepSeek or GPT-OSS rather than manage a server, the pay-per-token inference API is often cheaper than keeping a GPU busy around the clock. It is OpenAI-compatible and uses the same account and wallet as your pods. Browse every model with live prices.
RTX PRO 4000 vs similar GPUs
Live lowest on-demand price per GPU-hour, and price per GB of VRAM.
| GPU | VRAM | Architecture | From / hr | Per GB-hr |
|---|---|---|---|---|
| RTX PRO 4000 (this page) | 24 GB | Blackwell | $0.616 | $0.026 |
| NVIDIA RTX A5000 | 24 GB | Ampere | $0.173 | $0.007 |
| NVIDIA RTX 3090 | 24 GB | Ampere | $0.238 | $0.01 |
| NVIDIA RTX 3090 Ti | 24 GB | Ampere | $0.292 | $0.012 |
| NVIDIA RTX 4090 | 24 GB | Ada Lovelace | $0.368 | $0.015 |
| NVIDIA L4 | 24 GB | Ada Lovelace | $0.638 | $0.027 |
| NVIDIA RTX 4000 Ada SFF | 20 GB | Ada Lovelace | $0.195 | $0.01 |
RTX PRO 4000 rental — frequently asked questions
How much does it cost to rent an NVIDIA RTX PRO 4000 per hour?
$0.616 per GPU-hour on demand. Billing is per minute while the pod exists, so 24/7 use for a 730-hour month costs about $450 per GPU at the lowest on-demand rate. Prices sync from live capacity and are shown before you deploy.
How much VRAM does the NVIDIA RTX PRO 4000 have?
24 GB of GDDR7 at 672 GB/s of memory bandwidth. The chip is rated at up to 140 W. A pod with 4 GPUs gives 96 GB of combined VRAM for tensor- or pipeline-parallel workloads.
What size LLM can I run on an NVIDIA RTX PRO 4000?
Roughly 9.5B parameters at FP16 or BF16, 19B at 8-bit and 38B at 4-bit on a single GPU, reserving about 20% of VRAM for the KV cache and activations. Mixture-of-experts models need memory for all experts, not only the active ones. Long contexts and large batches need more headroom.
Is the NVIDIA RTX PRO 4000 billed per hour or per minute?
Per minute. The hourly rate is divided by 60 and charged for every minute the pod exists. Attached volumes bill per GB-month and continue while a pod is stopped; delete the pod to stop all charges. There is no minimum term or reservation fee.
How do I rent an NVIDIA RTX PRO 4000 on FastInfra?
Create an account, add prepaid credit, open the GPU configurator and choose the RTX PRO 4000, the tier, the GPU count, a container template and storage. The configurator shows the hourly and monthly price, then deploys a pod you reach over SSH or JupyterLab within minutes.
Can I rent multiple RTX PRO 4000 GPUs in one pod?
Yes, up to 4 per pod. The price scales linearly: 4 GPUs cost $2.46 per hour on Secure.
Is there a cheaper GPU than the RTX PRO 4000 with the same VRAM?
Yes. The NVIDIA RTX A5000 has 24 GB and starts at $0.173 per hour. It differs in architecture (Ampere), memory bandwidth and multi-GPU interconnect, so compare throughput for your workload before switching.
Deploy an RTX PRO 4000 in minutes
Price the exact pod, storage and template in the configurator, add credit, and connect over SSH or JupyterLab. Billed per minute, no commitment.