NVIDIA RTX A2000 cloud GPU rental
Rent an NVIDIA RTX A2000 cloud GPU from $0.13 per hour with 6 GB of GDDR6 at 288 GB/s of memory bandwidth. FastInfra bills pods per minute with no commitment, so a one-hour experiment costs $0.13 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 A2000 specs and pricing
The NVIDIA RTX A2000 is a workstation Ampere GPU with 6 GB of GDDR6 at 288 GB/s of memory bandwidth. On FastInfra it is a good fit for dev, test, and lightweight inference. As a rule of thumb, one RTX A2000 holds the weights of a model of about 2B parameters at 16-bit precision, or about 9.5B with 4-bit quantization, after leaving room for the KV cache.
The RTX A2000 runs on the Value tier, lower-cost community hosts, at $0.13 per GPU-hour.
RTX A2000 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 | Value / hr | Month (730 h, lowest) |
|---|---|---|---|
| 1× RTX A2000 | 6 GB | $0.13 | $94.90 |
| 2× RTX A2000 | 12 GB | $0.26 | $190 |
| 4× RTX A2000 | 24 GB | $0.52 | $380 |
What an RTX A2000 costs over time
One GPU at the lowest on-demand rate ($0.13/hr).
| Duration | On-demand |
|---|---|
| 1 hour | $0.13 |
| 8-hour working day | $1.04 |
| 24 hours | $3.12 |
| 1 week (168 hours) | $21.84 |
| 1 month (730 hours) | $94.90 |
Which LLMs fit on the RTX A2000?
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 | 4 GPUs | 2 GPUs | 1 GPU |
| 12–14B | Gemma 3 12B, Qwen3 14B, Phi-4 | Needs more GPUs | 4 GPUs | 2 GPUs |
| 27–32B | Gemma 3 27B, Qwen3 32B | Needs more GPUs | Needs more GPUs | 4 GPUs |
| 70B | Llama 3.3 70B | Needs more GPUs | Needs more GPUs | Needs more GPUs |
Best for
Dev, test, and lightweight inference.
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 A2000 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 A2000 (this page) | 6 GB | Ampere | $0.13 | $0.022 |
| NVIDIA RTX A4000 | 16 GB | Ampere | $0.184 | $0.012 |
| NVIDIA Tesla V100 | 16 GB | Volta | $0.206 | $0.013 |
| NVIDIA RTX 3080 Ti | 12 GB | Ampere | $0.195 | $0.016 |
| NVIDIA RTX 4070 Ti | 12 GB | Ada Lovelace | $0.206 | $0.017 |
| NVIDIA RTX 3080 | 10 GB | Ampere | $0.184 | $0.018 |
| NVIDIA RTX 3070 | 8 GB | Ampere | $0.141 | $0.018 |
RTX A2000 rental — frequently asked questions
How much does it cost to rent an NVIDIA RTX A2000 per hour?
$0.13 per GPU-hour on demand. Billing is per minute while the pod exists, so 24/7 use for a 730-hour month costs about $94.90 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 A2000 have?
6 GB of GDDR6 at 288 GB/s of memory bandwidth. The chip is rated at up to 70 W. A pod with 4 GPUs gives 24 GB of combined VRAM for tensor- or pipeline-parallel workloads.
What size LLM can I run on an NVIDIA RTX A2000?
Roughly 2B parameters at FP16 or BF16, 4.5B at 8-bit and 9.5B 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 A2000 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 A2000 on FastInfra?
Create an account, add prepaid credit, open the GPU configurator and choose the RTX A2000, 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 A2000 GPUs in one pod?
Yes, up to 4 per pod. The price scales linearly: 4 GPUs cost $0.52 per hour on Value.
Deploy an RTX A2000 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.