GPU Cloud · Billed per minute
GPU cloud pods billed per minute: price yours before you buy
FastInfra GPU Cloud rents dedicated GPU pods from RTX 4090 to H200, billed per minute for exactly as long as the pod exists. The public configurator shows the live hourly and monthly price for the GPU type, count, region, container template and attached storage before anything is provisioned, so you can size a training run or an inference deployment and know its cost up front. Pods offer SSH and JupyterLab at deploy time plus an optional persistent volume that survives stops.
Pick a GPU, size the disks, and see exactly what it costs per minute, per day, and per month. Nothing is provisioned and nothing is charged until you deploy — configure freely.
Any region — we pick the best available datacenter when you deploy.
1 · Choose a GPU
2 · Size your pod
Nothing is reserved while you configureHolds your image, CUDA cache, and scratch files. Ephemeral — wiped when the pod stops.
Mounted at /workspace and survives stops. Datasets and checkpoints belong here.
How long this configuration can run on that much credit, assuming it stays running the whole time.
What fits in — of VRAM
Rule-of-thumb weight sizing- FP16 / BF16
- — 2 bytes per parameter
- 8-bit
- — 1 byte per parameter
- 4-bit
- — 0.5 bytes per parameter
Typically used for: —
Estimates reserve 20% of VRAM for the KV cache and activations. Real headroom depends on context length, batch size, and your serving stack — treat these as a starting point, not a guarantee.
—
- 1 hour
- —
- 1 day
- —
- 1 week
- —
- 1 month
- —
Minimum credit to start this pod: — (1h of runtime). Compute billing stops the moment you stop the pod.
Billed by the minute
Charges are drawn from your prepaid credits every minute the pod is provisioning or running. Stop it and compute charges end instantly — no minimum term, no reservation fees.
Secure vs value tier
Secure runs in vetted datacenters with the highest reliability and availability. Value uses lower-cost community hosts — same GPU model, cheaper rate, more variable capacity.
Storage that persists
A persistent volume survives stops and restarts. A stopped pod only pays the volume storage rate ($0.216/GB/month) — never for the GPU.
Transparent pricing
Every rate shown includes our 8% platform markup on underlying compute and storage — there is nothing added at checkout. Up to 2 active pods per account by default.
What you get on every pod
Your container, your rules
Any public Docker image — PyTorch, TensorFlow, vLLM, ComfyUI, Ollama, or your own build. Set environment variables and expose up to 10 ports.
Direct access
Enable SSH and JupyterLab at deploy time. TCP ports get a public IP and port you connect to directly; HTTP ports are proxied for you.
One wallet, one dashboard
GPU pods draw from the same FastInfra credits as API inference. Live usage, per-minute charges, and runtime totals appear on each pod's detail page.
Frequently asked questions
Which GPUs can I rent on FastInfra GPU Cloud?
RTX 4090, A100, H100 and H200 pods, plus other types as capacity appears. The configurator lists every available GPU with its VRAM and live hourly price.
How is a GPU pod billed?
Per minute while the pod exists, at the hourly rate shown in the configurator divided by 60. Attached volumes bill per GB-month and continue while a pod is stopped; delete the pod to stop all charges.
Do I need to deploy to see GPU prices?
No. The public configurator shows live prices for every GPU, count and region without an account. Deploying requires a signed-in account with enough prepaid balance for the configured minimum hours.
Can I run multiple GPUs in one pod?
Yes. Choose one to eight GPUs of the same type per pod, subject to the maximum shown for that GPU and cloud type; the hourly price scales with the GPU count.
What is the difference between GPU Cloud and the inference API?
GPU Cloud gives you a whole machine you control and pay for by the minute. The inference API is pay-per-token access to hosted models with no servers to manage. Many teams use the API for production traffic and GPU pods for fine-tuning or custom models.
Last reviewed October 15, 2026 by FastInfra. Prices and counts on this page come from the live catalog.