Bring Your Own Model. Deploy in Seconds.
Skip the bare-metal provisioning, CUDA drivers, and Linux configuration. Paste any Hugging Face URL—public or private—and instantly spin up a dedicated VRAM allocation powered by vLLM.
Stop paying for idle time, cold starts, and downloads.
Traditional GPUaaS bills you the moment a server boots up—even while you are still debugging SSH or waiting 20 minutes for weights to download. With DCP, you only pay for active inference availability.
Traditional GPUaaS (Bare-Metal & Clouds)
Billed continuously across human setup, network download wait times, and background evictions.
DCP Dedicated MaaS
Free weight downloads, free vLLM initialization, zero teardown latency costs. You only pay while active.
Dedicated VRAM. Guaranteed Performance.
Isolated Memory Blocks
Your allocated gigabytes are reserved strictly for your instance. No memory contention, no cache thrashing, and zero noisy neighbors.
No Cold Starts
Unlike scale-to-zero serverless runtimes that freeze when idle, your dedicated allocation keeps your model hot and ready in memory.
Native vLLM Concurrency
State-of-the-art PagedAttention and continuous batching built in, delivering maximum tokens-per-second throughput.
From Hugging Face to Production Endpoint
Bring Your Weights
Paste any Hugging Face repository URL. Deploy your fine-tuned models with a private access token, or select an already vetted community quantization (AWQ, GPTQ, FP8) that matches your memory target.
Allocate Dedicated VRAM
Never overpay for an entire physical card when you only need a slice. Slide to specify exact VRAM capacity. We handle distributed shard placement across the cluster.
Instant Production Endpoint
Click Deploy. Once weights load and the API health heartbeat registers green, you get an OpenAI-compatible endpoint ready for production traffic.
Dedicated memory blocks. Billed strictly per active second.
Open Workspace Deployer