NVIDIA RTX 4000 Ada cloud GPU rental

The NVIDIA RTX 4000 Ada is a workstation Ada Lovelace GPU with 20 GB of GDDR6 at 360 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 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.

Two on-demand tiers are available. Secure runs in vetted datacenters at $0.303 per GPU-hour; Value uses lower-cost community hosts at $0.216 per GPU-hour for the same GPU model, with more variable capacity.

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.

How much does it cost to rent an NVIDIA RTX 4000 Ada per hour?

$0.303 per GPU-hour on the Secure tier and $0.216 on the Value tier. Billing is per minute while the pod exists, so 24/7 use for a 730-hour month costs about $158 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 have?

20 GB of GDDR6 at 360 GB/s of memory bandwidth. The chip is rated at up to 130 W. A pod with 8 GPUs gives 160 GB of combined VRAM for tensor- or pipeline-parallel workloads.

What size LLM can I run on an NVIDIA RTX 4000 Ada?

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 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 on FastInfra?

Create an account, add prepaid credit, open the GPU configurator and choose the RTX 4000 Ada, 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 GPUs in one pod?

Yes, up to 8 per pod. The price scales linearly: 8 GPUs cost $2.42 per hour on Secure.

Is there a cheaper GPU than the RTX 4000 Ada 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.