FINAL-Bench/Darwin-36B-Opus-VKAE

Darwin-36B-Opus — VKAE Accelerated

Ready-to-run, VKAE-accelerated serving of Darwin-36B-Opus, VIDRAFT's house 36B Mixture-of-Experts model. Model weights and an optimized serving runtime in a single self-contained container.

VKAE (VIDRAFT Kernel Acceleration Engine) is VIDRAFT's proprietary inference-serving optimization. The acceleration recipe is withheld; only the reproducible results are published here.

Measured performance

NVIDIA B200, single GPU, bf16, same-harness before/after.

Metric	Baseline	VKAE	Gain
Single-stream throughput	25.0 tok/s	280.8 tok/s	11.2×
Output quality	reference	preserved	no degradation

Quick start

docker pull vidraft/darwin36-vkae:281
docker run --gpus all -p 8000:8000 vidraft/darwin36-vkae:281

The container serves an OpenAI-compatible API on port 8000 — point any OpenAI client at http://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.

Links

• Live acceleration leaderboard → VIDraft/vkae
• Docker image → hub.docker.com/r/vidraft/darwin36-vkae
• Collection → FINAL-Bench · VKAE Accelerated

About

Darwin-36B-Opus is a VIDRAFT house model (36B Mixture-of-Experts). This card documents VIDRAFT's accelerated serving of the model; the acceleration method is proprietary and not distributed in source form.