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Bump openvino from 2026.2.1 to 2026.3.1 in /packages/openvino in the openvino-build-dependencies group - #58

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Bump openvino from 2026.2.1 to 2026.3.1 in /packages/openvino in the openvino-build-dependencies group#58
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Bumps the openvino-build-dependencies group in /packages/openvino with 1 update: openvino.

Updates openvino from 2026.2.1 to 2026.3.1

Release notes

Sourced from openvino's releases.

2026.3.1

Summary of major features and improvements  

You can find OpenVINO™ toolkit 2026.3.1 release here:

Release documentation is available here: https://docs.openvino.ai/2026 Release Notes are available here: https://docs.openvino.ai/2026/about-openvino/release-notes-openvino.html

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.
    • 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.

... (truncated)

Commits
  • 759c5a6 [GPU] Increase position IDs precision for direct MatMul Sin/Cos (#37417)
  • dba892b [TRANSFORMATIONS][SDPA2PA] Added support of drop the batch dimension backport...
  • d5ba761 [GPU] Fix RMS last-axis normalization and scalar gamma support (#37415)
  • 6a0a19a [GPU] Fix PagedAttention mixed-cache boundary and sliding-window tail handlin...
  • 02b00c0 [NPUW] Match Gemma-4 sliding window mask on newer optimum-intel exports (#373...
  • f7fd6d7 [TRANSFORMATIONS] Fix NCHW/NHWC layout mismatch in ConvertWeightCompressedCon...
  • 47a128b Docs- Update Release Notes (#37310)
  • 07e39f2 [GPU] Support IncreasePositionIdsPrecisionForGemma4 for PA backend (#… (#37292)
  • dc2c532 Docs - Release Notes Optimum Note (#37285)
  • 4366f8a docs: fix data table text overflow (#37256)
  • Additional commits viewable in compare view

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Bumps the openvino-build-dependencies group in /packages/openvino with 1 update: [openvino](https://github.com/openvinotoolkit/openvino).


Updates `openvino` from 2026.2.1 to 2026.3.1
- [Release notes](https://github.com/openvinotoolkit/openvino/releases)
- [Changelog](https://github.com/openvinotoolkit/openvino/blob/master/docs/RELEASE.MD)
- [Commits](openvinotoolkit/openvino@2026.2.1...2026.3.1)

---
updated-dependencies:
- dependency-name: openvino
  dependency-version: 2026.3.1
  dependency-type: direct:production
  update-type: version-update:semver-minor
  dependency-group: openvino-build-dependencies
...

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@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels Sep 3, 2026
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dependabot Bot requested a review from a team as a code owner September 3, 2026 10:13
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