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Run YOLO Vision Models: Deploy Ultralytics YOLO on a Raspberry Pi 4 or 5 with Intel OpenVINO for real edge computer vision, no cloud GPU or workstation needed.
A while back I wrote that your Intel laptop can run LLMs right now — on the NPU, the iGPU, whatever...
OpenVINO 2026.0 brings full NPU LLM support, a Unified Runtime Scheduler, and INT4 quantization. Install guide, Python quickstart, and model matrix.
In Q3 2024, 72% of production AI inference pipelines using OpenVINO 2024.3.0 and Mistral 2 7B exposed...
In Q3 2024, 68% of LLM deployment teams reported overspending on inference infrastructure by ≥40% due...
In Q3 2024, our inference pipeline’s p99 latency hit 2.1 seconds for 7B parameter LLMs quantized to...
RAG pipelines built with OpenVINO 2024.3 and ONNX Runtime 1.18 deliver 42% lower p99 latency and 37%...
In 2024, we ran 10,000 inference iterations across 12 model families and found OpenVINO outperforms...
TensorRT Deep Dive OpenVINO: Avoid Deployment for Developers For developers working on...
In 2024, we benchmarked 127 production-grade CV and LLM models across 4 GPU architectures and 2 Intel...
Your Intel laptop has an NPU. It has probably had one for a while. Intel has been marketing it...