Sponsored by
Vmake Labs Video Enhancer
-Vmake Labs Video Enhancer uses AI to improve video quality, restore details, reduce blur, and upscale videos to 8K.
Ready-to-run,
VKAE-accelerated serving
of Qwen3.5-35B-A3B (35B-parameter Mixture-of-Experts, ~3B active). Ships as a self-contained container — model weights and an optimized serving runtime in a single image — so anyone can reproduce the numbers on their own GPU.
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, FP8, same-harness before/after.
Metric
Baseline
VKAE
Gain
Single-stream throughput
25.7 tok/s
601 tok/s
23.4×
Peak aggregate (high concurrency)
—
~10,516 tok/s
—
Output quality
reference
preserved
no degradation
Realistic varied-content single-stream throughput sits around
~455 tok/s
. Accuracy is preserved end to end.
Quick start
docker pull vidraft/qwen35-vkae:601
docker run --gpus all -p 8000:8000 vidraft/qwen35-vkae:601
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.
Base weights:
Qwen/Qwen3.5-35B-A3B
(Apache-2.0), unmodified. This card documents VIDRAFT's accelerated
serving
of the model; the base model itself is unchanged. The VKAE acceleration method is proprietary and is not distributed in source form.
Runs of FINAL-Bench Qwen3.5-35B-A3B-VKAE on huggingface.co
0
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
0
30-day runs
More Information About Qwen3.5-35B-A3B-VKAE huggingface.co Model
Qwen3.5-35B-A3B-VKAE huggingface.co is an AI model on huggingface.co that provides Qwen3.5-35B-A3B-VKAE's model effect (), which can be used instantly with this FINAL-Bench Qwen3.5-35B-A3B-VKAE model. huggingface.co supports a free trial of the Qwen3.5-35B-A3B-VKAE model, and also provides paid use of the Qwen3.5-35B-A3B-VKAE. Support call Qwen3.5-35B-A3B-VKAE model through api, including Node.js, Python, http.
Qwen3.5-35B-A3B-VKAE huggingface.co is an online trial and call api platform, which integrates Qwen3.5-35B-A3B-VKAE's modeling effects, including api services, and provides a free online trial of Qwen3.5-35B-A3B-VKAE, you can try Qwen3.5-35B-A3B-VKAE online for free by clicking the link below.
FINAL-Bench Qwen3.5-35B-A3B-VKAE online free url in huggingface.co:
Qwen3.5-35B-A3B-VKAE is an open source model from GitHub that offers a free installation service, and any user can find Qwen3.5-35B-A3B-VKAE on GitHub to install. At the same time, huggingface.co provides the effect of Qwen3.5-35B-A3B-VKAE install, users can directly use Qwen3.5-35B-A3B-VKAE installed effect in huggingface.co for debugging and trial. It also supports api for free installation.
Qwen3.5-35B-A3B-VKAE install url in huggingface.co: