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This is a hotfix release including bug fixes in the server component and OpenVINO Runtime.
Improvements included:
- Updated OpenVINO Runtime to 2026.4.1 version.
- DFlash algorithm can not accept requests without setting max_tokens parameter. Earlier, deployment with DFlash algorithm, it was mandatory to set
max_tokensin all request to LLM models. Check Speculative Decoding Demo for instructions how to run it. - Fixed duplicated reporting of model
/v1/modelsendpoint when Idle model management is enabled. #4604
Deprecation notice
Starting from next release the following capabilities are planned to be dropped:
- packages targeted on Ubuntu22 will not be published. Best effort support for building will be supported until 2027.0. There is planned adding Ubuntu26 packages.
- MediaPipe calculators using TensorFlow dependency will be removed from OVMS. In result demos iris_tracking and holistic will be removed. Other calculators with improved performance will be added instead.
You can use OpenVINO Model Server public Docker images based on Ubuntu via the following command:
docker pull openvino/model_server:2026.4.1- CPU device support with image based on Ubuntu 24.04docker pull openvino/model_server:2026.4.1-gpu- GPU, NPU and CPU device support with image based on Ubuntu 24.04
or use provided binary packages. Only packages with suffix _python_on have support for python.
There is also additional distribution channel via https://storage.openvinotoolkit.org/repositories/openvino_model_server/packages/2026.4.1/