vlmrun unified API protects visual model quality by controlling serving variability
Builders often face hidden quality degradation from inconsistent model serving parameters (quantization, FPS control, GPU architecture) even when using the 'same' model ID, causing unpredictable visual accuracy. vlmrun’s approach standardizes serving and runtime to ensure consistent, high-quality outputs across providers and models.
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vlmrun launches unified API to run open-weight vision models with serving controls
vlmrun introduced an openai-compatible API gateway that runs open-weight vision language models, OCR models, and ViT-based models. They built this to solve common production issues like inconsistent quantization under the same model ID, lack of video input and FPS control, and complex document inference pipelines involving rasterization and retries.