Limitless GPU Power
We abstracted physical hardware into dedicated 32GB GPU Units. Get the exact memory equivalents of an RTX 5090, H200, or an HGX cluster, but only pay while your models are actively inferencing.
Mapped to the hardware you know.
The RTX 5090 Equivalent
The Sandbox. Perfect for fast embedding generation, testing small instruct models, and isolated development environments.
The H200 Equivalent
The Enterprise Workhorse. The sweet spot for production deployments of 70B–100B parameter models requiring a massive KV cache for high concurrency.
The HGX Super-Node
The Frontier Cluster. Run massive MoE and frontier models. Powered by enterprise interconnects impossible to replicate on consumer-grade hardware.
Traditional GPUaaS vs. DCP MaaS
| Hardware Searched | DCP MaaS Equivalent | The DCP Advantage |
|---|---|---|
| RTX 5090 (32GB) | 1 GPU Unit (32GB) | Enterprise reliability. Instant vLLM routing. |
| Nvidia A100 (80GB) | 2.5 GPU Units (80GB) | Zero-cost weight downloads. Active billing only. |
| Nvidia H200 (141GB) | 4.5 GPU Units (144GB) | Pause at any time. Scale concurrency instantly. |
| 8x H200 HGX Cluster | 16–32 GPU Units (512GB+) | Pay strictly per second of inference heartbeat. |
Why we killed the bare-metal rental.
Standard clouds bill for hardware the moment a server is provisioned, meaning you pay for idle configuration time and long weight downloads. Our Model-as-a-Service provides dedicated GPU allocations without the bare-metal tax. You get the raw, unthrottled GPUs, but billing strictly begins the second your API health check turns green. By paying only for active uptime rather than setup time, you reduce actual deployment costs by up to 30%.