Intel Software

New release! #OpenVINO GenAI introduces VLM pipeline support, timestamps for Whisper, and EAGLE-3 speculative decoding. ms.spr.ly/6017Qlx1U

How do traffic cameras detect license plates and pedestrians in real time? See how vision AI and streaming deep learning pipelines enable accurate insights and responses. ms.spr.ly/6019QljBc

Fine‑tuning LLMs on Intel GPUs is now fully supported in Unsloth. XMX handles the heavy matrix math, mixed‑precision keeps memory in check, and the toolchain (oneDNN, oneCCL, Triton) covers everything from kernels to distributed runs across AI PCs, Arc, and Data Center GPUs. Read more here: ms.spr.ly/6015QcaOV

Intel® XeSS 3.0 SDK is here: AI‑enhanced Super Resolution, AI‑powered Frame Generation, and Xe Low Latency in one toolkit. ms.spr.ly/6013QiFmT

New: Health & Life Sciences AI Suite, a multimodal patient‑monitoring pipeline using vision AI + GenAI for 3D tracking, AI‑ECG, and remote PPG, all running in real time at the point of care. ms.spr.ly/6019QiSeh

Wondering how to operationalize and optimize #AI for Retail PoS? The Retail AI Suite provides reference pipelines for Retail technology teams to try out Vision AI-enabled retail AI workloads for Self-Checkout, Loss Prevention, and Order Accuracy in the #Retail AI Suite. Read the blog by Farhaan Mohideen. ms.spr.ly/6012Q57u0

Real‑time fatigue detection only works when the full vision stack can run locally with low latency and no cloud dependency. Intel engineer Arunima Surendran has a detailed walkthrough of building an OpenVINO‑based pipeline for edge deployment: 👉 ms.spr.ly/6013Q57uF

Today we released our largest LFM2 model: LFM2-24B-A2B. It is a 24B Mixture-of-Experts model with 2.3B parameters active per token, built on our hybrid, hardware-aware LFM2 architecture. From day zero, we’re making deploying LFM2-24B-A2B easy, with support from key partners: 🧵

Performance is never one number. Some chase latency; others care about throughput. How do you choose the best AI model? Visit the #OpenVINO Model Hub to get instant benchmark numbers: ms.spr.ly/6013QpAMF

Which accelerator provides the best performance for your AI model? Between CPU, GPU, and NPU, which one provides the capabilities you need? Check out the #OpenVINO Model Hub to get instant answers. Watch the video: ms.spr.ly/6011QpAMh

SLMs shine on CPU-only deployments, but performance relies on the right quantization and hardware setup. This blog walks through running a quantized #SLM with llama.cpp on #IntelXeon processors and shows how each variant shapes throughput. Dive in (with a QSG!): ms.spr.ly/6018QywJm

PaddleOCR-VL 1.5—supported by #OpenVINO on Intel-powered AI PCs—helps optimize your OCR stack from day 1. This model is validated on #IntelCoreUltra Series 3 and enables practical, on-device AI with a full pipeline that’s offloaded across CPU, iGPU, and NPU. ms.spr.ly/6010QyXee

What if deploying a full RAG pipeline on Red Hat OpenShift took minutes instead of days? Our latest demo shows how the Red Hat quickstart powered by #IntelXeon processors and #IntelGaudi accelerators turns a complex AI architecture into a fast, repeatable deployment pattern. ms.spr.ly/6012QGxLg

How does @Intel_Foundry maintain efficient operations? With images taken by robot dogs. These images are uploaded into #Geti to create #vision AI models that monitor supply levels and power predictive maintenance scenarios. #OpenEdgePlatform Learn more: ms.spr.ly/6018Q1fl8

Integrating MCP servers into an enterprise AI ecosystem presents security and operational challenges. Alex Sin demonstrates how the Red Hat AI quickstart for Llama Stack MCP servers allows for seamless deployment of LLMs and MCP servers to simplify the MLOps cycle. Link: ms.spr.ly/6018Q17iI

Did you know that POS systems are running #visionAI and media analytics pipelines? Check out the Retail AI Suite to see sample applications for self-checkout, loss prevention, and more: ms.spr.ly/6016tspYE

#OpenEdgePlatform 2025.2 is here! Features ROS 2 and GSML camera integrations for robotics, Metro Agentic AI Route Planner, Retail Order Accuracy, Manufacturing Weld Detection—all optimized on #IntelCoreUltra processors (Series 2). See more: ms.spr.ly/6016tmNCE

Anomalies happen all the time, but which ones will cause problems? Watch Samet Akcay talk about #Anomalib and ways to optimize #visionAI and machine learning to manage custom image datasets, fine-tune state-of-the-art pretrained models, and find abnormalities. #OpenEdgePlatform ms.spr.ly/6018tcdjA

AI models running on servers can leave sensitive data in unencrypted memory. OpenShift confidential containers, combined with #IntelTDX and NVIDIA confidential computing GPUs, address this by running inference workloads inside hardware-isolated VMs with full memory encryption. See the demo: ms.spr.ly/6013t9lRT

Now on #OpenVINO 2025.4: gold support for Window ML. This feature makes AI model deployment effortless across CPUs, GPUs, and NPUs on AI PCs powered by #IntelCoreUltra processors. Download now: ms.spr.ly/6014t9lRp