GPU Cloud Pricing · Ampere
20 GB of professional Ampere — enough headroom for quantized 13B models at some of the lowest hourly rates in the catalog.
GPU.ai rates are the live fleet floor — the cheapest provider with stock, passed through at cost. Competitor rates are public on-demand list prices.
| Provider | $ / GPU / hr |
|---|---|
| GPU.ai — Secure Cloud | $0.250 |
| GPU.ai — Community Cloud | $0.190 |
| CoreWeave | Not available |
| AWS | Not available |
| Azure | Not available |
Available regions: Europe East
GPU.ai prices are read live from our aggregated fleet of 12+ GPU clouds and normalized to a per-GPU hourly rate (a multi-GPU node's price is divided by its GPU count). We charge the provider's raw rate with zero markup and bill per second. Competitor figures are each provider's public on-demand list rate for the closest equivalent SKU — never spot, reserved, or committed-use discounts. Stock counts reflect launchable inventory, not theoretical capacity. Last updated 2026-08-17; this page refreshes hourly.
| Architecture | Ampere |
| VRAM | 20 GB GDDR6 |
| Memory bandwidth | 640 GB/s |
| FP16 tensor (dense) | — |
| CUDA cores | 7,168 |
| Power (TDP) | 200 W |
| Interconnect | PCIe 4.0 |
| Released | 2021 |
Minimum RTX A4500 count needed to hold popular open models in VRAM, at FP16 and 4-bit quantization.
| Model | Params | FP16 | 4-bit |
|---|---|---|---|
| Llama 3.1 8B | 8B | 1× RTX A4500 | 1× RTX A4500 |
| Mistral 7B | 7B | 1× RTX A4500 | 1× RTX A4500 |
| Gemma 2 27B | 27B | 4× RTX A4500 | 1× RTX A4500 |
| Qwen2.5 32B | 32B | 4× RTX A4500 | 2× RTX A4500 |
| Llama 3.1 70B | 70B | Doesn't fit | 4× RTX A4500 |
| Qwen2.5 72B | 72B | Doesn't fit | 4× RTX A4500 |
| Mixtral 8x22B | 141B MoE | Doesn't fit | 8× RTX A4500 |
| Llama 3.1 405B | 405B | Doesn't fit | Doesn't fit |
| FLUX.1 dev | 12B | 2× RTX A4500 | 1× RTX A4500 |
| SDXL | 3.5B | 1× RTX A4500 | 1× RTX A4500 |
| Whisper large-v3 | 1.5B | 1× RTX A4500 | 1× RTX A4500 |
Weights-only estimates with a 20% margin for KV cache and activations at moderate context. Long contexts, large batches, and training need substantially more memory.
RTX A4500 cloud instances on GPU.ai currently start at $0.190 per GPU per hour, billed per second. That is the live floor price across every provider in our fleet — we route your launch to the cheapest provider with stock and add zero markup.
The NVIDIA RTX A4500 has 20 GB of GDDR6 memory with up to 640 GB/s of bandwidth. GPU.ai reports the minimum VRAM actually delivered across our fleet, so the figure you see at launch is the figure you get.
GPU.ai aggregates a dozen-plus GPU clouds and passes through each provider's raw price with no markup, so the same silicon is typically far cheaper than hyperscaler list rates. The comparison table on this page shows the current public on-demand list prices side by side.
Billing is per second, starting when your instance is SSH-ready and stopping the moment you terminate. There are no minimum commitments, no reservation fees, and no egress surprises — you pay the listed hourly rate pro-rated to the second.