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VKAE (VIDRAFT Kernel Acceleration Engine) is VIDRAFT's proprietary inference-serving optimization. The acceleration recipe is withheld; only the reproducible results are published here.
| Metric | Baseline | VKAE | Gain |
|---|---|---|---|
| Single-stream throughput | 25.0 tok/s | 280.8 tok/s | 11.2× |
| Output quality | reference | preserved | no degradation |
1docker pull vidraft/darwin36-vkae:281
2docker run --gpus all -p 8000:8000 vidraft/darwin36-vkae:281http://localhost:8000/v1. A Blackwell (B200) or Hopper (H100/H200) class GPU is recommended.📦 Ready-to-use files in this repo:Dockerfile,docker-compose.yml,run_docker.sh— pull-and-run, no build required.