GPU Cloud Pricing · Ada Lovelace
16 GB of fast GDDR6X for less — plenty for 7B-class models, SDXL, and Whisper pipelines on a budget.
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 | Out of stock |
| GPU.ai — Community Cloud | $0.130 |
Need scale? Real 4× RTX 4080 nodes are in inventory from $0.175/GPU/hr.
Available regions: Canada Central · US East
GPU.ai prices are read live from our aggregated fleet of 12+ GPU clouds and normalized to a per-GPU hourly rate (a 4× 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 | Ada Lovelace |
| VRAM | 16 GB GDDR6X |
| Memory bandwidth | 717 GB/s |
| FP16 tensor (dense) | — |
| CUDA cores | 9,728 |
| Power (TDP) | 320 W |
| Interconnect | PCIe 4.0 |
| Released | 2022 |
Minimum RTX 4080 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 | 2× RTX 4080 | 1× RTX 4080 |
| Mistral 7B | 7B | 2× RTX 4080 | 1× RTX 4080 |
| Gemma 2 27B | 27B | 8× RTX 4080 | 2× RTX 4080 |
| Qwen2.5 32B | 32B | 8× RTX 4080 | 2× RTX 4080 |
| Llama 3.1 70B | 70B | Doesn't fit | 4× RTX 4080 |
| Qwen2.5 72B | 72B | Doesn't fit | 4× RTX 4080 |
| Mixtral 8x22B | 141B MoE | Doesn't fit | 8× RTX 4080 |
| Llama 3.1 405B | 405B | Doesn't fit | Doesn't fit |
| FLUX.1 dev | 12B | 2× RTX 4080 | 1× RTX 4080 |
| SDXL | 3.5B | 1× RTX 4080 | 1× RTX 4080 |
| Whisper large-v3 | 1.5B | 1× RTX 4080 | 1× RTX 4080 |
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 4080 cloud instances on GPU.ai currently start at $0.130 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 GeForce RTX 4080 has 16 GB of GDDR6X memory with up to 717 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.
Yes — real 4× RTX 4080 nodes are launchable right now, from $0.175 per GPU per hour. We only advertise node sizes that exist in live inventory, not theoretical configurations.
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.