OpenVINO
Intel toolkit for optimizing and deploying AI inference workloads.
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What is this technology for?
Its role in production environments and why it is taught in our curriculums.
OpenVINO is Intel's toolkit for optimizing and deploying AI inference — it accelerates models across CPUs, GPUs and NPUs for efficient edge and server inference.
What you will learn
The hands-on skills you will gain on this technology in our curriculums.
- Convert and optimize models with OpenVINO
- Deploy optimized inference runtimes
- Benchmark inference performance
- Integrate OpenVINO with KServe serving
Latest News & Ecosystem Updates
Recent innovations, major releases, and key industry milestones in the ecosystem.
Intel OpenVINO 2026.2: Hybrid Inference Optimization on Xeon CPUs & NPUs
High-efficiency generative model execution without dedicated GPUs, slashing carbon footprint and server operational costs.
Automated INT4/INT8 LLM Quantization Powered by NNCF
Lossless precision compression enabling massive deployment of advanced models onto edge devices.
Featured in the curriculum
Find this technology in the following modules of our Red Hat certified curriculums.
AS300 — AI Platform Engineer
View curriculum →
Red Hat OpenShift AI (RHOAI)
AI267 · Module 7 — AS300