RTX A6000 pricing on QuantaCloud
Every QuantaCloud RTX A6000 offering we track, normalized to a per-GPU hourly rate and ranked against 25 providers with current RTX A6000 pricing.
The cheapest RTX A6000 we currently track is $0.330/hr on Runpod.
QuantaCloud RTX A6000 rates
Hourly prices per GPU. Multi-GPU rows show the per-GPU rate, not the instance total.
| Price / GPU-hr | Type | GPUs |
|---|---|---|
| $0.517 | On-demand | 4 |
| $0.520 | On-demand | 1 |
| $0.520 | On-demand | 2 |
| $0.541 | On-demand | 8 |
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
- Runpod$0.330/hr
- Hyperstack$0.350/hr
- Thunder Compute$0.350/hr
- Verda$0.356/hr
- Aquanode$0.363/hr
- gpu.ai$0.398/hr
- Vast.ai$0.402/hr
- Lium.io$0.420/hr
- ParalonCloud$0.480/hr
- IO.NET$0.493/hr
- Massed Compute$0.500/hr
- Shadeform$0.500/hr
- Omega Gradient$0.530/hr
- Hexgrid Cloud$0.550/hr
- Oblivus$0.550/hr
- Sesterce$0.550/hr
- Runcrate$0.650/hr
- 1Legion$0.660/hr
- Koyeb$0.750/hr
- Seeweb$0.827/hr
- VoltageGPU$0.840/hr
- AceCloud$0.927/hr
- Paperspace$0.945/hr
- Lambda Labs$1.09/hr
About QuantaCloud
QuantaCloud provides on-demand compute and reserved capacity solutions, allowing users to scale their workloads efficiently.
Frequently Asked Questions
How much does the RTX A6000 cost on QuantaCloud?
QuantaCloud lists the RTX A6000 from $0.517 per GPU-hour across 4 tracked configurations. Prices are collected daily — see the table above for the current rates.
Is QuantaCloud the cheapest place to rent the RTX A6000?
QuantaCloud ranks #13 of 25 providers we track with current RTX A6000 pricing. The cheapest right now is Runpod. Price is only one factor — region availability, network, and storage costs differ between providers.
Which RTX A6000 configurations does QuantaCloud offer?
We currently track 4 RTX A6000 offerings from QuantaCloud, 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.