48 GB GDDR6 · 960 GB/s · 8× 8× PCIe per server from 20+ vetted providers — ~30% less than hyperscale. Quotes in under 24 hours.
RTX 6000 Ada cloud pricing ranges from $0.85 to $1.40+ per GPU-hour depending on provider and contract type. Comparable cloud GPU rates start at $1.40+/hr from hyperscalers. GPUaaS.com wholesale pricing saves up to 30%. Pricing data last reviewed: May 2026.–$85/hr per node
| Provider | On-demand $/GPU-hr | RTX 6000 Ada availability | Notes |
|---|---|---|---|
| AWS | ~$1.20 – $1.56 | Not offered natively | 8-GPU nodes only. Egress fees extra. |
| Google Cloud | ~$1.10 | Not offered natively | Via specialist providers only |
| Microsoft Azure | ~$1.30 – $1.50 | Not offered natively | Most expensive. SLA-backed. |
| CoreWeave | ~$0.99 – $1.20 | Available | Enterprise. Reserved pricing only. |
| Lambda Labs | ~$0.89 – $1.10 | Available | No egress fees. Dev-focused. |
GPUaaS.com — wholesale ↓ UP TO 30% LOWER | ~$0.76 – $0.95 | In stock | Free matchmaking. Flexible commitment. |
Prices indicative as of May 2026. Hyperscaler rates from public pricing pages. Wholesale rates via GPUaaS.com vary by configuration and commitment term.
Train 70B–Production inference for 7B–30B models. 48 GB GDDR6 ECC memory handles concurrent model serving for visual AI, NLP, and multi-modal workloads at excellent cost efficiency.
Visual AI and computer vision workloads. Ada Lovelace architecture with 4th gen RT Cores excels at real-time rendering, 3D generation, and image processing pipelines.
Fine-tune 7B–30B parameter models. 48 GB GDDR6 ECC supports mid-scale LoRA and QLoRA workflows.
32k–Fine-tuning mid-size models at a fraction of datacenter GPU cost. The RTX 6000 Ada bridges the gap between consumer GPUs and enterprise HBM hardware for teams scaling their ML operations.
Pick the region for latency, compliance or sovereignty. We handle the matchmaking — you talk straight to the operator.
GPUaaS wholesale vs. cloud list price. Move the slider to your cluster size.
Tell us the essentials. We'll line up real quotes from vetted wholesale providers — direct, no platform fee.
No need to crawl through GPU marketplaces. The world's best wholesale GPU providers are right here.
Start simple — how many GPUs or nodes and what type — then add as much detail as you like. Inference or training. Model architecture. Precision. Virtualization type. Budgets and timelines.
Get the best GPU deals →We do the legwork, and find providers with capacity that fits your need. Our network includes:
When we've found the perfect partner for your project, you'll get quotations for the GPU you need, usually within a few hours.
We'll smooth your ride through the provisioning process, and you can get on with your project.
Got more questions?
Contact usGPUaaS.com charges buyers nothing at any stage — no fees, no commissions, no markups. The service is entirely free for enterprises seeking GPU capacity. GPUaaS.com is funded by hosted·ai and earns from the provider side of the network. Submit a request, receive quotes, and choose your provider with zero cost to you.
GPUaaS.com connects enterprises with vetted GPU providers for large-scale compute at up to 30% lower cost than hyperscalers.
