48 GB GDDR6 · 864 GB/s · PCIe Gen4 dual-slot, 350W. 4–8 PCIe cards per server from 20+ vetted providers — ~30% less than hyperscale. Quotes in under 24 hours.
L40S cloud pricing ranges from $0.95 to $1.60+ per GPU-hour depending on provider and contract type. AWS on-demand L40S rates start at $1.84/hr (g6.xlarge). GPUaaS.com wholesale pricing saves up to 30%. Pricing data last reviewed: May 2026.–$85/hr per node
| Provider | On-demand $/GPU-hr | L40S availability | Notes |
|---|---|---|---|
| AWS | ~$1.60 – $1.84 | On-demand | 8-GPU nodes only. Egress fees extra. |
| Google Cloud | ~$1.50 | On-demand | Widely available |
| Microsoft Azure | ~$1.60 – $1.80 | Multiple regions | Most expensive. SLA-backed. |
| CoreWeave | ~$1.10 – $1.34 | Available | Enterprise. Reserved pricing only. |
| Lambda Labs | ~$0.99 – $1.20 | Available | No egress fees. Dev-focused. |
GPUaaS.com — wholesale ↓ UP TO 30% LOWER | ~$0.84 – $1.02 | 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–Multi-modal inference across image, video, and text workloads. 48 GB GDDR6 handles concurrent model serving for production AI applications at the lowest cost per token.
Fine-tune 7B–30B parameter models efficiently. Ada Lovelace architecture with 4th gen Tensor Cores delivers strong training throughput without datacenter GPU pricing.
Fine-tune 7B–30B parameter models with LoRA and QLoRA. 48 GB GDDR6 ECC handles mid-scale models efficiently.
32k–Image and video generation at scale. Stable Diffusion, SDXL, and video AI pipelines run natively on L40S with full CUDA and Tensor Core support.
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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.
