24 GB GDDR6 · 300 GB/s · PCIe Gen4 x16, single-slot, 72W. 4–8 cards per 2U server. from 20+ vetted providers — ~30% less than hyperscale. Quotes in under 24 hours.
L4 cloud pricing ranges from $0.35 to $0.70+ per GPU-hour depending on provider and contract type. AWS on-demand L4 rates start at $0.80/hr (g6e.xlarge). GPUaaS.com wholesale pricing saves up to 30%. Pricing data last reviewed: May 2026.–$85/hr per node
| Provider | On-demand $/GPU-hr | L4 availability | Notes |
|---|---|---|---|
| AWS | ~$0.70 – $0.80 | On-demand | 8-GPU nodes only. Egress fees extra. |
| Google Cloud | ~$0.55 | On-demand | Widely available |
| Microsoft Azure | ~$0.65 – $0.70 | Multiple regions | Most expensive. SLA-backed. |
| CoreWeave | ~$0.44 – $0.55 | Available | Enterprise. Reserved pricing only. |
| Lambda Labs | ~$0.40 – $0.50 | Available | No egress fees. Dev-focused. |
GPUaaS.com — wholesale ↓ UP TO 30% LOWER | ~$0.34 – $0.45 | 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–Small model inference at the lowest price point. 24 GB GDDR6 handles 7B models and video AI workloads at under $0.50/hr per GPU.
Video AI and computer vision. Ada Lovelace architecture with hardware video encode/decode excels at real-time video processing and analytics at scale.
Deploy cost-efficient inference for 7B–13B quantized models. 24 GB GDDR6 at 72W per card enables high-density deployments.
32k–Cost-sensitive ML workloads and edge deployment preparation. L4 is ideal for teams running high volumes of small inference requests where cost per query is the primary metric.
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.
Tell us the essentials. We'll line up real quotes from vetted wholesale providers — direct, no platform fee.
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.
Got more questions?
Contact usGPUaaS.com charges buyers nothing at any stage — no fees, no commissions, no markups. The service is entirely free for enterprises seeking GPU capacity. GPUaaS.com is funded by hosted·ai and earns from the provider side of the network. Submit a request, receive quotes, and choose your provider with zero cost to you.
GPUaaS.com connects enterprises with vetted GPU providers for large-scale compute at up to 30% lower cost than hyperscalers.
