Script 'mail_helper' called by obssrc Hello community, here is the log from the commit of package openvino for openSUSE:Factory checked in at 2026-08-09 21:42:19 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Comparing /work/SRC/openSUSE:Factory/openvino (Old) and /work/SRC/openSUSE:Factory/.openvino.new.16738 (New) ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Package is "openvino" Sun Aug 9 21:42:19 2026 rev:27 rq:1370287 version:2026.3.0 Changes: -------- --- /work/SRC/openSUSE:Factory/openvino/openvino.changes 2026-08-04 21:30:53.148758000 +0200 +++ /work/SRC/openSUSE:Factory/.openvino.new.16738/openvino.changes 2026-08-09 21:45:51.191783884 +0200 @@ -1,0 +2,102 @@ +Fri Aug 7 05:24:03 UTC 2026 - Alessandro de Oliveira Faria <[email protected]> + +- Update to 2026.3.0 +- Summary of major features and improvements + * More GenAI coverage and framework integrations to minimize + code changes + + New models supported: + - On CPU, GPU, and NPU: SmolLM3-3B, LFM2-1.2B, LFM2.5-1.2B + - On CPU and GPU: Harrier OSS-v1-0.6B, Qwen3-8B with + EAGLE-3, MiniCPM5-1B, FLUX.2-klein-4B + - Extended to GPU and NPU: YOLO26 + - Additional models available as early releases on CPU and + GPU: Qwen3-ASR, Qwen3-Omni, Gemma-3n, Qwen3-VL-Embedding-8B, + Kokoro-82M + + Support for Hugging Face Transformers v5.5, ensuring + compatibility with the latest model architectures on + Hugging Face + +- Broader LLM model support and more model compression techniques + * OpenVINO™ GenAI extends the EAGLE-3 speculative decoding + pipeline to LLMs and VLMs, enhancing existing continuous + batching and adding Top-K sampling to deliver additional + token-generation speedups on CPUs, GPUs, and NPUs. + * Added GroupedMatMul to accelerate native execution of + Mixture-of-Experts (MoE) models, enabling faster support + for new MoE architectures and improving their out-of-the-box + performance. + * Lazy weight loading is enabled for IR and ONNX models to + automatically select an optimal loading and compilation path, + minimizing peak memory usage during model initialization. + * Neural Network Compression Framework (NNCF) now supports FP8 + quantization for ONNX models, helping developers realize FP8 + performance, accuracy, and memory gains while expanding + low-precision inference options for production deployments. + * OpenVINO™ GenAI now supports three additional pipelines: + Omni for multimodal workloads, ASR for speech recognition, + and Embedding for multimodal embedding generation. + +- More portability and performance to run AI at the edge, in + the cloud, or locally. + * Introducing support for Intel® Xeon® 6+ processors + (formerly codenamed Clearwater Forest) + * MoE offloading to disk enabled, allowing 30B MoE models + like Qwen3-30B-A3B to run even on devices with 16 GB of + memory while maintaining acceptable tokens-per-second + (TPS) generation rates. + * OpenVINO™ Model Server simplifies model deployment and + unifies REST API endpoints, reducing command complexity + while providing standard v1/chat/completions support + for easier integration with other serving frameworks. + * OpenVINO™ Model Server adds support for audio models, + including Kokoro TTS and Qwen3-ASR, enabling speech + generation and transcription workflows. + * OpenVINO™ Model Server further improves stability, + performance, and accuracy for LLMs such as Qwen3.5/3.6 + with linear attention and extends tool-parser support + to MiniCPM5-1B and LFM2.5, improving accuracy and + reliability. + +- Support Change and Deprecation Notices + * Discontinued in 2026.0: + + The deprecated openvino.runtime namespace has been + removed. Please use the openvino namespace directly. + + The deprecated openvino.Type.undefined has been removed. + Please use openvino.Type.dynamic instead. + + Support for Debian 10 has been discontinued due to the + end of its standard support. + + The PostponedConstant constructor signature has been + updated for improved usability: + - Old (removed): Callable[[Tensor], None] + - New: Callable[[], Tensor] + + The deprecated OpenVINO™ GenAI predefined generation + configs were removed. + + The deprecated OpenVINO GenAI support for whisper + stateless decoder model has been removed. Please use a + stateful model. + + The deprecated OpenVINO GenAI StreamerBase put method, + bool return type for callbacks, and ChunkStreamer class + has been removed. + + NNCF create_compressed_model() method is now deprecated + and removed in 2026. Please use nncf.prune() method for + unstructured pruning and nncf.quantize() for INT8 + quantization. + + NNCF optimization methods for TensorFlow models and + TensorFlow backend in NNCF are deprecated and removed + in 2026. It is recommended to use PyTorch analogous + models for training-aware optimization methods and + OpenVINO™ IR, PyTorch, and ONNX models for post-training + optimization methods from NNCF. + + The following experimental NNCF methods are deprecated + and removed: NAS, Structural Pruning, AutoML, Knowledge + Distillation, Mixed-Precision Quantization, Movement + Sparsity. + + CPU plugin now requires support for the AVX2 instruction + set as a minimum system requirement. The SSE instruction + set will no longer be supported. + + OpenVINO™ migrated builds based on RHEL 8 to RHEL 9. + + Dropped support for the TensorFlow Serving (TFS) API in + OpenVINO Model Server 2026.3. KServe API is recommended + for classic model deployments. + +------------------------------------------------------------------- Old: ---- openvino-2026.2.1.obscpio New: ---- openvino-2026.3.0.obscpio ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Other differences: ------------------ ++++++ openvino.spec ++++++ --- /var/tmp/diff_new_pack.hcNMZ7/_old 2026-08-09 21:45:56.011948417 +0200 +++ /var/tmp/diff_new_pack.hcNMZ7/_new 2026-08-09 21:45:56.015948553 +0200 @@ -1,6 +1,7 @@ # # spec file for package openvino # +# Copyright (c) 2026 SUSE LLC # Copyright (c) 2026 SUSE LLC and contributors # Copyright (c) 2024 Alessandro de Oliveira Faria (A.K.A. CABELO) <[email protected]> or <[email protected]> # @@ -31,13 +32,13 @@ %define pythons python3 %endif %define __builder ninja -%define so_ver 2621 +%define so_ver 2630 %define shlib lib%{name}%{so_ver} %define shlib_c lib%{name}_c%{so_ver} %define prj_name OpenVINO Name: openvino -Version: 2026.2.1 +Version: 2026.3.0 Release: 0 Summary: A toolkit for optimizing and deploying AI inference # Let's be safe and put all third party licenses here, no matter that we use specific thirdparty libs or not ++++++ _constraints ++++++ --- /var/tmp/diff_new_pack.hcNMZ7/_old 2026-08-09 21:45:56.047949646 +0200 +++ /var/tmp/diff_new_pack.hcNMZ7/_new 2026-08-09 21:45:56.051949782 +0200 @@ -5,7 +5,7 @@ <size unit="G">20</size> </disk> <memory> - <size unit="G">8</size> + <size unit="G">32</size> </memory> </hardware> </constraints> ++++++ _service ++++++ --- /var/tmp/diff_new_pack.hcNMZ7/_old 2026-08-09 21:45:56.079950738 +0200 +++ /var/tmp/diff_new_pack.hcNMZ7/_new 2026-08-09 21:45:56.083950874 +0200 @@ -2,8 +2,8 @@ <service name="obs_scm" mode="manual"> <param name="url">https://github.com/openvinotoolkit/openvino.git</param> <param name="scm">git</param> - <param name="revision">2026.2.1</param> - <param name="version">2026.2.1</param> + <param name="revision">2026.3.0</param> + <param name="version">2026.3.0</param> <param name="submodules">enable</param> <param name="filename">openvino</param> <param name="exclude">.git</param> ++++++ openvino-2026.2.1.obscpio -> openvino-2026.3.0.obscpio ++++++ /work/SRC/openSUSE:Factory/openvino/openvino-2026.2.1.obscpio /work/SRC/openSUSE:Factory/.openvino.new.16738/openvino-2026.3.0.obscpio differ: char 49, line 1 ++++++ openvino.obsinfo ++++++ --- /var/tmp/diff_new_pack.hcNMZ7/_old 2026-08-09 21:45:56.147953059 +0200 +++ /var/tmp/diff_new_pack.hcNMZ7/_new 2026-08-09 21:45:56.151953196 +0200 @@ -1,5 +1,5 @@ name: openvino -version: 2026.2.1 -mtime: 1781000952 -commit: ede283a88e35465f0d680dabbf1f44080f8fc387 +version: 2026.3.0 +mtime: 1784798962 +commit: 8a17657b995fd3b4a52f8484acfcf2bb61214623
