NVIDIA RTX A5000 cloud GPU rental
Rent an NVIDIA RTX A5000 cloud GPU from $0.173 per hour with 24 GB of GDDR6 at 768 GB/s of memory bandwidth. FastInfra bills pods per minute with no commitment, so a one-hour experiment costs $0.173 and you stop paying the moment you delete the pod. Run 1 to 10 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 A5000 specs and pricing
The NVIDIA RTX A5000 is a workstation Ampere GPU with 24 GB of GDDR6 at 768 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 A5000 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.
Two on-demand tiers are available. Secure runs in vetted datacenters at $0.292 per GPU-hour; Value uses lower-cost community hosts at $0.173 per GPU-hour for the same GPU model, with more variable capacity.
RTX A5000 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 | Value / hr | Month (730 h, lowest) |
|---|---|---|---|---|
| 1× RTX A5000 | 24 GB | $0.292 | $0.173 | $126 |
| 2× RTX A5000 | 48 GB | $0.584 | $0.346 | $253 |
| 4× RTX A5000 | 96 GB | $1.17 | $0.692 | $505 |
| 8× RTX A5000 | 192 GB | $2.34 | $1.38 | $1,010 |
What an RTX A5000 costs over time
One GPU at the lowest on-demand rate ($0.173/hr).
| Duration | On-demand |
|---|---|
| 1 hour | $0.173 |
| 8-hour working day | $1.38 |
| 24 hours | $4.15 |
| 1 week (168 hours) | $29.06 |
| 1 month (730 hours) | $126 |
Which LLMs fit on the RTX A5000?
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 | 8 GPUs | 4 GPUs | 2 GPUs |
| 120B | GPT-OSS 120B | Needs more GPUs | 8 GPUs | 4 GPUs |
| 235B | Qwen3 235B-A22B | Needs more GPUs | Needs more GPUs | 8 GPUs |
| 405B | Llama 3.1 405B | Needs more GPUs | Needs more GPUs | Needs more GPUs |
Best for
7B–13B inference, LoRA fine-tuning, ComfyUI and Stable Diffusion.
About the Ampere architecture
Ampere brought third-generation Tensor Cores with BF16 and TF32 support, which modern training code relies on, and the A100 added Multi-Instance GPU partitioning. Ampere cards remain a dependable, lower-cost option for fine-tuning, inference and research, though they lack the FP8 support of Ada, Hopper and Blackwell.
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 A5000 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 A5000 (this page) | 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 RTX PRO 4000 | 24 GB | Blackwell | $0.616 | $0.026 |
| NVIDIA L4 | 24 GB | Ada Lovelace | $0.638 | $0.027 |
| NVIDIA RTX 4000 Ada SFF | 20 GB | Ada Lovelace | $0.195 | $0.01 |
RTX A5000 rental — frequently asked questions
How much does it cost to rent an NVIDIA RTX A5000 per hour?
$0.292 per GPU-hour on the Secure tier and $0.173 on the Value tier. Billing is per minute while the pod exists, so 24/7 use for a 730-hour month costs about $126 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 A5000 have?
24 GB of GDDR6 at 768 GB/s of memory bandwidth. The chip is rated at up to 230 W. A pod with 10 GPUs gives 240 GB of combined VRAM for tensor- or pipeline-parallel workloads.
What size LLM can I run on an NVIDIA RTX A5000?
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 A5000 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 A5000 on FastInfra?
Create an account, add prepaid credit, open the GPU configurator and choose the RTX A5000, 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 A5000 GPUs in one pod?
Yes, up to 10 per pod. The price scales linearly: 8 GPUs cost $2.34 per hour on Secure.
Deploy an RTX A5000 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.