Intel releases OpenVINO 2026.4 with expanded GenAI support

🚀 RELEASES & LAUNCHES

• Intel releases OpenVINO 2026.4 with expanded GenAI support
  Intel released OpenVINO 2026.4 for expanded GenAI support.

  • Targets developers running generative-AI models on Intel CPUs, GPUs, and NPUs.
  • Adds support for models including Gemma-3n, Qwen3-VL-4B, Qwen3-ASR, Muse Glimmer 30B, Qwen 3.8 27B, and Gemma 4 12B.
  • Adds Multi-Token Prediction speculative decoding for Gemma 4, Qwen 3.5, and Qwen 3.6 on CPUs and GPUs.
  • The merged llama.cpp integration updates ggml-openvino to 2026.4 and expands model support while reducing integration code changes.
  Sources 📄 Source: docs.openvino.ai · 📎 Coverage: github.com · 👁 via r/LocalLLaMA

• China Telecom open-sources Xing4.0, a 29B MoE model with 256K context
  China Telecom released Xing4.0-29B-A4B, a 29B MoE model with 4B active parameters.

  • The model targets developers building coding agents, tool-using applications, and domain-specific systems.
  • Xing4.0-29B-A4B has 29B total parameters, 4B active per token, and a native 256K context window extensible to 512K.
  • It supports multi-step planning, tool calling, and complex reasoning through an mHC+MLA+MTP architecture.
  • The model is compatible with Transformers, vLLM, SGLang, KTransformers, LLaMA-Factory, and MindFormers.
  • China Telecom reports a 96% training-throughput improvement over out-of-the-box performance through Ascend NPU optimizations.
  Sources 📄 Source: huggingface.co · 📎 Coverage: github.com · 👁 via r/LocalLLaMA