288 GB HBM3e · 12 TB/s · 8× SXM HGX nodes from 20+ vetted providers — ~30% less than hyperscale. Quotes in under 24 hours.
B300 cloud pricing ranges from $7.00 to $12.00+ per GPU-hour depending on provider and contract type. Blackwell B300 delivers 50% more memory than B200 for frontier model training–$85/hr per node
| Provider | On-demand $/GPU-hr | B300 availability | Notes |
|---|---|---|---|
| AWS | ~$3.90 – $10.60 | Wait / limited | 8-GPU nodes only. Egress fees extra. |
| Google Cloud | ~$3.72 (spot) | Preemptible | Spot only. Can be interrupted. |
| Microsoft Azure | ~$6.98 – $13.78 | Limited regions | Most expensive. SLA-backed. |
| CoreWeave | ~$3.50 – $5.00 | Available | Enterprise. Reserved pricing only. |
| Lambda Labs | ~$2.49 – $3.99 | Available | No egress fees. Dev-focused. |
GPUaaS.com — wholesale ↓ UP TO 30% LOWER | ~$2.2 – $2.9 | 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–Frontier model training at unprecedented scale. 288 GB HBM3e per GPU enables training runs that previously required multi-node memory pooling, reducing communication overhead.
Largest-scale inference for 200B+ parameter models. 12 TB/s bandwidth sustains production serving of the largest models with full precision and minimal latency.— 40–80% more tokens/sec vs H100.
Full fine-tuning, LoRA, and QLoRA on models that exceed H100 memory. Larger batches, fewer gradient checkpointing hacks, faster convergence per dollar spent.
32k–High-performance computing and scientific simulation. Blackwell architecture delivers massive FP64 and FP32 throughput for computational chemistry, climate modelling, and physics simulation.
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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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.
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GPUaaS.com connects enterprises with vetted GPU providers for large-scale compute at up to 30% lower cost than hyperscalers.
