288 GB HBM3e · 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. Hyperscaler Blackwell rates start at $12.00+/hr on-demand. GPUaaS.com wholesale pricing saves up to 30%. Pricing data last reviewed: May 2026.–$85/hr per node
| Provider | On-demand $/GPU-hr | B300 availability | Notes |
|---|---|---|---|
| AWS | ~$12.00 – $14.24 | On-demand | 8-GPU nodes only. Egress fees extra. |
| Google Cloud | ~$8.00 (spot) | Preemptible | Limited supply. Can be interrupted. |
| Microsoft Azure | ~$14.00 – $16.00+ | Limited regions | Most expensive. SLA-backed. |
| CoreWeave | ~$6.50 – $9.00 | Available | Enterprise. Reserved pricing only. |
| Lambda Labs | ~$5.50 – $8.00 | Available | No egress fees. Dev-focused. |
GPUaaS.com — wholesale ↓ UP TO 30% LOWER | ~$4.70 – $7.00 | 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.
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.B300 delivers ~30x H100 throughput per NVIDIA.
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.
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GPUaaS.com connects enterprises with vetted GPU providers for large-scale compute at up to 30% lower cost than hyperscalers.
