RTX 6000 Ada pricing on Massed Compute
Every Massed Compute RTX 6000 Ada offering we track, normalized to a per-GPU hourly rate and ranked against 22 providers with current RTX 6000 Ada pricing.
The cheapest RTX 6000 Ada we currently track is $0.601/hr on Vast.ai.
Massed Compute RTX 6000 Ada rates
Hourly prices per GPU. Multi-GPU rows show the per-GPU rate, not the instance total.
| Price / GPU-hr | Type | GPUs |
|---|---|---|
| $0.790 | On-demand | 1 |
| $0.790 | On-demand | 2 |
| $0.790 | On-demand | 4 |
| $0.790 | On-demand | 8 |
RTX 6000 Ada specifications
- VRAM
- 48GB
- Architecture
- Ada Lovelace
- CUDA Cores
- 18,176
- Tensor Cores
- 568
- Memory Bandwidth
- 960 GB/s
- TDP
- 300W
RTX 6000 Ada on other providers
- Vast.ai$0.601/hr
- gpu.ai$0.650/hr
- Aquanode$0.654/hr
- IO.NET$0.682/hr
- Runpod$0.740/hr
- Verda$0.749/hr
- QuantaCloud$0.776/hr
- Spheron$0.780/hr
- Lium.io$0.800/hr
- Fluence Cloud$0.858/hr
- Hexgrid Cloud$0.880/hr
- Shadeform$0.970/hr
- Omega Gradient$1.02/hr
- Runcrate$1.06/hr
- Sesterce$1.07/hr
- AceCloud$1.14/hr
- centron$1.33/hr
- Together AI$1.49/hr
- DigitalOcean$1.57/hr
- VoltageGPU$1.60/hr
- SwissGPU$1.82/hr
About Massed Compute
Massed Compute provides affordable on‑demand GPUs including H100 (SXM/NVL/PCIe) with owned hardware and transparent specs.
Frequently Asked Questions
How much does the RTX 6000 Ada cost on Massed Compute?
Massed Compute lists the RTX 6000 Ada from $0.790 per GPU-hour across 4 tracked configurations. Prices are collected daily — see the table above for the current rates.
Is Massed Compute the cheapest place to rent the RTX 6000 Ada?
Massed Compute ranks #9 of 22 providers we track with current RTX 6000 Ada pricing. The cheapest right now is Vast.ai. Price is only one factor — region availability, network, and storage costs differ between providers.
Which RTX 6000 Ada configurations does Massed Compute offer?
We currently track 4 RTX 6000 Ada offerings from Massed Compute, 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.