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here is the log from the commit of package openvino for openSUSE:Factory 
checked in at 2026-04-13 23:20:26
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Comparing /work/SRC/openSUSE:Factory/openvino (Old)
 and      /work/SRC/openSUSE:Factory/.openvino.new.21863 (New)
++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

Package is "openvino"

Mon Apr 13 23:20:26 2026 rev:21 rq:1346475 version:2026.1.0

Changes:
--------
--- /work/SRC/openSUSE:Factory/openvino/openvino.changes        2026-02-27 
17:10:54.510601689 +0100
+++ /work/SRC/openSUSE:Factory/.openvino.new.21863/openvino.changes     
2026-04-13 23:22:58.598250590 +0200
@@ -1,0 +2,59 @@
+Thu Apr  9 22:39:30 UTC 2026 - Alessandro de Oliveira Faria 
<[email protected]>
+
+- Update to 2026.1.0
+- More GenAI coverage and framework integrations to minimize code
+  changes
+  * New models supported on CPUs & GPUs: Qwen3 VL
+  * New models supported on CPUs: GPT-OSS 120B
+  * Preview: Introducing the OpenVINO backend for llama.cpp,
+    which enables optimized inference on Intel CPUs, GPUs, and 
+    NPUs. Validated on GGUF models such as 
+    Llama-3.2-1B-Instruct-GGUF, Phi-3-mini-4k-instruct-gguf,
+    Qwen2.5-1.5B-Instruct-GGUF, and Mistral-7B-Instruct-v0.3.
+  * New notebook: Unified VLM chatbot with video file support and
+    interactive model switching across Qwen3-VL, Qwen2.5-VL, and
+    LLaVa-NeXT-Video.
+- Broader LLM model support and more model compression
+  techniques
+  * OpenVINO™ GenAI adds TaylorSeer Lite caching for image and
+    video generation, accelerating diffusion-transformer inference
+    across Flux, SD3, and LTX-Video pipelines, aligned with
+    Hugging Face Diffusers.
+  * LTX-Video generation on GPU achieves end-to-end acceleration
+    through fusion of RMSNorm and RoPE operators, significantly
+    improving video generation performance.
+  * OpenVINO™ GenAI adds dynamic LoRA support for Qwen3-VL and
+    VL models with LLM, allowing developers to swap adapters at
+    runtime for efficient serving of multiple model variants in
+    production without reloading the base model.
+  * Preview: The release-weights API for ov::Model enables
+    memory reclamation during model compilation on NPUs,
+    delivering dramatically lower peak memory consumption for
+    edge and client deployments. Users must set this property
+    in ov::Model, and it will be applied during compilation.
+- More portability and performance to run AI at the edge, in the
+  cloud, or locally.
+  * Introducing support for Intel® Core™ Series 3 processors 
+    (formerly codenamed Wildcat Lake) and Intel® Arc™ Pro B70
+    Graphics with 32GB memory for single-GPU inference on 20-30B
+    parameter LLMs
+  * Prompt Lookup Decoding extended to vision-language pipelines,
+    delivering significantly faster token generation for
+    multimodal workloads on Intel CPUs and GPUs.
+  * OpenVINO™ GenAI now has a smaller runtime footprint after 
+    eliminating ICU DLL dependencies from tokenization, leading
+    to reduced memory usage, faster startup, and easier 
+    deployment.
+  * OpenVINO GenAI introduces WhisperPipeline for Node.js via
+    its NPM package, delivering production-ready speech
+    recognition with word-level audio-to-text transcription.
+  * OpenVINO™ Model Server enhances support for Qwen3-MOE and
+    GPT-OSS-20b models, delivering improved performance,
+    accuracy, and robust concurrent request handling with
+    continuous batching. These pre-optimized models are
+    available on Hugging Face for easy deployment.
+    Additionally, the Model Server introduces image
+    inpainting and outpainting capabilities via the
+    /image endpoint for AI image editing.
+
+-------------------------------------------------------------------

Old:
----
  openvino-2026.0.0.obscpio

New:
----
  openvino-2026.1.0.obscpio

++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

Other differences:
------------------
++++++ openvino.spec ++++++
--- /var/tmp/diff_new_pack.liyTDe/_old  2026-04-13 23:23:01.826383774 +0200
+++ /var/tmp/diff_new_pack.liyTDe/_new  2026-04-13 23:23:01.830383939 +0200
@@ -32,13 +32,13 @@
 %define pythons python3
 %endif
 %define __builder ninja
-%define so_ver 2600
+%define so_ver 2610
 %define shlib lib%{name}%{so_ver}
 %define shlib_c lib%{name}_c%{so_ver}
 %define prj_name OpenVINO
 
 Name:           openvino
-Version:        2026.0.0
+Version:        2026.1.0
 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

++++++ _service ++++++
--- /var/tmp/diff_new_pack.liyTDe/_old  2026-04-13 23:23:01.886386250 +0200
+++ /var/tmp/diff_new_pack.liyTDe/_new  2026-04-13 23:23:01.890386415 +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">2026.0.0</param>
-    <param name="version">2026.0.0</param>
+    <param name="revision">2026.1.0</param>
+    <param name="version">2026.1.0</param>
     <param name="submodules">enable</param>
     <param name="filename">openvino</param>
     <param name="exclude">.git</param>

++++++ openvino-2026.0.0.obscpio -> openvino-2026.1.0.obscpio ++++++
/work/SRC/openSUSE:Factory/openvino/openvino-2026.0.0.obscpio 
/work/SRC/openSUSE:Factory/.openvino.new.21863/openvino-2026.1.0.obscpio 
differ: char 49, line 1

++++++ openvino.obsinfo ++++++
--- /var/tmp/diff_new_pack.liyTDe/_old  2026-04-13 23:23:01.958389221 +0200
+++ /var/tmp/diff_new_pack.liyTDe/_new  2026-04-13 23:23:01.962389386 +0200
@@ -1,5 +1,5 @@
 name: openvino
-version: 2026.0.0
-mtime: 1771428797
-commit: c6d6a13a8863f576b627dabcda0c40b090638f9e
+version: 2026.1.0
+mtime: 1774449323
+commit: 63e31528c62d3eee06733efa63915ce04bd86f47
 

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