96 GB GDDR7 · 1.8 TB/s · 8× PCIe per server from 20+ vetted providers, ~30% less than hyperscale. Quotes in under 24 hours.
RTX Pro 6000 cloud pricing ranges from $1.80 to $3.20+ per GPU-hour depending on provider and contract type. Comparable hyperscaler GPU rates for 96 GB class start at $3.50+/hr. GPUaaS.com wholesale pricing saves up to 30%. Pricing data last reviewed: May 2026.–$85/hr per node
| Provider | On-demand $/GPU-hr | RTX Pro 6000 availability | Notes |
|---|---|---|---|
| AWS | ~$3.00 – $4.00 | Not offered natively | 8-GPU nodes only. Egress fees extra. |
| Google Cloud | ~$2.80 | Not offered natively | Via specialist providers only |
| Microsoft Azure | ~$3.50 – $4.50 | Not offered natively | Most expensive. SLA-backed. |
| CoreWeave | ~$2.50 – $3.50 | Available | Enterprise. Reserved pricing only. |
| Lambda Labs | ~$2.20 – $3.20 | Available | No egress fees. Dev-focused. |
GPUaaS.com , wholesale ↓ UP TO 30% LOWER | ~$1.87 – $2.70 | In stock | No platform fee. 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 on 70B+ parameter models. 96 GB GDDR7 enables serving large models that previously required datacenter HBM GPUs, at a fraction of the cost.
Generative media workloads including image, video, and 3D generation. 5th gen Tensor Cores and 4th gen RT Cores deliver studio-grade performance for creative AI pipelines.
Full fine-tuning, LoRA, and QLoRA on models that exceed H100 memory. Larger batches, fewer gradient checkpointing hacks, faster convergence per dollar spent.
32k–Fine-tuning 7B–30B models and ML research. Blackwell architecture provides the compute density of datacenter GPUs with the accessibility and pricing of professional workstation hardware.
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GPUaaS wholesale vs. cloud list price. Move the slider to your cluster size.
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GPUaaS.com connects enterprises with vetted GPU providers for large-scale compute at up to 30% lower cost than hyperscalers.
