80 GB HBM2e · TB/s · 8× SXM HGX nodes from 20+ vetted providers — ~30% less than hyperscale. Quotes in under 24 hours.
A100 cloud pricing ranges from $1.20 to $3.50+ per GPU-hour depending on provider and contract type. AWS on-demand A100 rates start at $3.67/hr (p4d.24xlarge). GPUaaS.com wholesale pricing saves up to 30%. Pricing data last reviewed: May 2026.–$85/hr per node
| Provider | On-demand $/GPU-hr | A100 availability | Notes |
|---|---|---|---|
| AWS | ~$3.40 – $3.67 | On-demand | 8-GPU nodes only. Egress fees extra. |
| Google Cloud | ~$2.48 | On-demand | Widely available |
| Microsoft Azure | ~$3.00 – $3.40 | Multiple regions | Most expensive. SLA-backed. |
| CoreWeave | ~$1.64 – $2.06 | Available | Enterprise. Reserved pricing only. |
| Lambda Labs | ~$1.29 – $1.49 | Available | No egress fees. Dev-focused. |
GPUaaS.com — wholesale ↓ UP TO 30% LOWER | ~$1.10 – $1.27 | 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 models up to 70B parameters on multi-node A100 clusters. 80 GB per GPU enables full model sharding without cross-node overhead on most production LLM workloads.
Serve production LLM traffic at scale. 3.35 TB/s bandwidth sustains high token throughput for inference workloads up to 30B parameters.
Full fine-tuning on models up to 70B parameters. 80 GB HBM2e per GPU with NVLink 3.0 for efficient multi-GPU parallelism.
Serve 32k–128k context windows for RAG pipelines. 80 GB HBM2e supports retrieval-augmented generation without memory-pressure fallbacks.
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.
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GPUaaS.com connects enterprises with vetted GPU providers for large-scale compute at up to 30% lower cost than hyperscalers.
