NVIDIA RTX 4000 Ada SFF cloud GPU rental
Rent an NVIDIA RTX 4000 Ada SFF cloud GPU from $0.195 per hour with 20 GB of GDDR6 at 280 GB/s of memory bandwidth. FastInfra bills pods per minute with no commitment, so a one-hour experiment costs $0.195 and you stop paying the moment you delete the pod. Run 1 to 7 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 4000 Ada SFF specs and pricing
The NVIDIA RTX 4000 Ada SFF is a workstation Ada Lovelace GPU with 20 GB of GDDR6 at 280 GB/s of memory bandwidth. On FastInfra it is a good fit for small-model inference, embeddings, prototyping and CI workloads. As a rule of thumb, one RTX 4000 Ada SFF holds the weights of a model of about 8B parameters at 16-bit precision, or about 32B with 4-bit quantization, after leaving room for the KV cache.
The RTX 4000 Ada SFF runs on the Value tier, lower-cost community hosts, at $0.195 per GPU-hour.
RTX 4000 Ada SFF 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 4000 Ada SFF | 20 GB | $0.195 | $142 |
| 2× RTX 4000 Ada SFF | 40 GB | $0.39 | $285 |
| 4× RTX 4000 Ada SFF | 80 GB | $0.78 | $569 |
What an RTX 4000 Ada SFF costs over time
One GPU at the lowest on-demand rate ($0.195/hr).
| Duration | On-demand |
|---|---|
| 1 hour | $0.195 |
| 8-hour working day | $1.56 |
| 24 hours | $4.68 |
| 1 week (168 hours) | $32.76 |
| 1 month (730 hours) | $142 |
Which LLMs fit on the RTX 4000 Ada SFF?
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 | Needs more GPUs | 4 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
Small-model inference, embeddings, prototyping and CI workloads.
About the Ada Lovelace architecture
Ada Lovelace GPUs have fourth-generation Tensor Cores with FP8 support and large L2 caches. They are a cost-efficient choice for inference, Stable Diffusion and ComfyUI, video generation, rendering and LoRA fine-tuning, where memory capacity matters more than the multi-GPU interconnect of datacenter parts.
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 4000 Ada SFF 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 4000 Ada SFF (this page) | 20 GB | Ada Lovelace | $0.195 | $0.01 |
| 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 RTX A4500 | 20 GB | Ampere | $0.206 | $0.01 |
| NVIDIA RTX 4000 Ada | 20 GB | Ada Lovelace | $0.216 | $0.011 |
RTX 4000 Ada SFF rental — frequently asked questions
How much does it cost to rent an NVIDIA RTX 4000 Ada SFF per hour?
$0.195 per GPU-hour on demand. Billing is per minute while the pod exists, so 24/7 use for a 730-hour month costs about $142 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 4000 Ada SFF have?
20 GB of GDDR6 at 280 GB/s of memory bandwidth. The chip is rated at up to 70 W. A pod with 7 GPUs gives 140 GB of combined VRAM for tensor- or pipeline-parallel workloads.
What size LLM can I run on an NVIDIA RTX 4000 Ada SFF?
Roughly 8B parameters at FP16 or BF16, 16B at 8-bit and 32B 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 4000 Ada SFF 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 4000 Ada SFF on FastInfra?
Create an account, add prepaid credit, open the GPU configurator and choose the RTX 4000 Ada SFF, 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 4000 Ada SFF GPUs in one pod?
Yes, up to 7 per pod. The price scales linearly: 4 GPUs cost $0.78 per hour on Value.
Is there a cheaper GPU than the RTX 4000 Ada SFF 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 4000 Ada SFF 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.