RTX A6000 pricing on Runpod
Every Runpod RTX A6000 offering we track, normalized to a per-GPU hourly rate and ranked against 13 providers with current RTX A6000 pricing.
The cheapest RTX A6000 we currently track is $0.213/hr on Verda.
Runpod RTX A6000 rates
Hourly prices per GPU. Multi-GPU rows show the per-GPU rate, not the instance total.
| Price / GPU-hr | Type | GPUs |
|---|---|---|
| $0.330 | On-demand | 1 |
| $0.490 | Spot | 1 |
| $0.490 | Spot | 2 |
| $0.490 | Spot | 3 |
| $0.490 | Spot | 4 |
| $0.490 | Spot | 5 |
| $0.490 | Spot | 6 |
| $0.490 | Spot | 7 |
| $0.490 | Spot | 8 |
| $0.490 | Spot | 10 |
| $0.530 | On-demand | 1 |
| $0.530 | On-demand | 2 |
| $0.530 | On-demand | 3 |
| $0.530 | On-demand | 4 |
| $0.530 | On-demand | 5 |
| $0.530 | On-demand | 6 |
| $0.530 | On-demand | 7 |
| $0.530 | On-demand | 8 |
| $0.530 | On-demand | 10 |
RTX A6000 specifications
- VRAM
- 48GB
- Architecture
- Ampere
- CUDA Cores
- 10,752
- Tensor Cores
- 336
- Memory Bandwidth
- 768 GB/s
- TDP
- 300W
RTX A6000 on other providers
About Runpod
Runpod is an AI developer cloud for building, deploying, and scaling AI workloads. It offers on‑demand GPU pods across 30+ regions in two tiers — data‑center‑hosted Secure Cloud and lower‑cost Community Cloud — plus serverless endpoints and multi‑node clusters, with B200 and H100/H200 alongside A100, L40S, and RTX classes.
Frequently Asked Questions
How much does the RTX A6000 cost on Runpod?
Runpod lists the RTX A6000 from $0.330 per GPU-hour across 19 tracked configurations. Prices are collected daily — see the table above for the current rates.
Is Runpod the cheapest place to rent the RTX A6000?
Runpod ranks #2 of 13 providers we track with current RTX A6000 pricing. The cheapest right now is Verda. Price is only one factor — region availability, network, and storage costs differ between providers.
Which RTX A6000 configurations does Runpod offer?
We currently track 19 RTX A6000 offerings from Runpod, covering the GPU counts, pricing types, and regions listed in the table above. Every price is normalized to a per-GPU hourly rate so it can be compared across providers.