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#OpenVINO

Showing: 12 courses
The Machine Learning Engineer

LLMOps: Comparación de Openvino, ONNX, TensorRT y Pytorch para Inferencia

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Compara el rendimiento de inferencia de modelos convertidos a ONNX, OpenVino y TensorRT frente a PyTorch nativo en GPU y CPU.
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1 Lesons
39 minutes
On-Demand
Free-Video
Data Science Conference

Applied Custom Vision for AI-Powered Camera Feed Analysis

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Explore practical applications of AI-powered computer vision for workplace monitoring, from parking lot analytics to safety alerts, featuring Custom Vision edge computing and OpenVino demonstrations.
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1 Lesons
29 minutes
On-Demand
Free-Video
tinyML

tinyML Vision Challenge - Intel-Luxonis DepthAI Platform Overview

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Explore Intel and Luxonis' DepthAI platform for advanced vision solutions. Learn about AI inference, OpenVINO toolkit, and developing spatial edge applications using the LUX-ESP32 device.
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25 Lesons
51 minutes
On-Demand
Free-Video
Linux Foundation

Machine Learning in Fastly's Compute@Edge

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Explore WebAssembly modules for efficient ML model execution in Fastly's Compute@Edge, covering wasi-nn extensions, host API revisions, and KServe protocol integration for enhanced performance.
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1 Lesons
26 minutes
On-Demand
Free-Video
Docker

End-to-End AI Developer Journey with Containerized Assets Using Intel DevCatalog and DevCloud

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Explore containerized AI development using Intel DevCatalog and DevCloud. Learn to access, customize, and deploy AI assets on various Intel hardware, leveraging OpenVINO for training and inference.
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1 Lesons
28 minutes
On-Demand
Free-Video
The Machine Learning Engineer

LLMOps: Comparison of OpenVino, ONNX, TensorRT, and PyTorch Inference

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Explore model conversion to ONNX, OpenVino, and Tensor-RT formats for optimized CPU and GPU inference, comparing performance against native PyTorch.
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1 Lesons
40 minutes
On-Demand
Free-Video
The Machine Learning Engineer

MLOps: OpenVino Quantized Pipeline for Grammatical Error Correction

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Build a grammar error correction model using OpenVino, combining Roberta-based error detection and Flan-T5 correction, with quantization for efficient CPU inference.
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1 Lesons
55 minutes
On-Demand
Free-Video
EuroPython Conference

Accelerate Your Deep Learning Inferencing with the Intel DL Boost Technology

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Explore Intel® DL Boost technology for efficient deep learning inference acceleration using low-precision INT8 and VNNI instructions on 2nd gen Intel Xeon Scalable processors.
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7 Lesons
29 minutes
On-Demand
Free-Video
Tech Field Day

Deploying AI Models Using Intel AMX CPUs on VMware vSphere with Tanzu Kubernetes

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Discover how to deploy AI models using Intel AMX CPUs on VMware vSphere, leveraging built-in accelerators and Tanzu Kubernetes for efficient, GPU-free machine learning workloads and real-time processing.
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1 Lesons
19 minutes
On-Demand
Free-Video
ChemicalQDevice

C++ Generative AI Inference - Production Ready Speed and Control

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Optimize C++ for generative AI inference, enhancing speed and control. Explore techniques to boost performance and gain precise command over AI model execution in production environments.
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1 Lesons
1 hour 4 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Converting Alibaba Cloud Qwen2-VL Model to OpenVino IR Format - Spanish Tutorial

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Aprende a convertir e implementar el modelo Qwen2-VL de Alibaba Cloud a formato OpenVino IR para optimizar inferencias en CPU, con ejemplos prácticos y código detallado.
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1 Lesons
38 minutes
On-Demand
Free-Video
The Machine Learning Engineer

Converting Qwen2-VL 2B Model to OpenVino IR Format for CPU Inference

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Learn how to convert and optimize Qwen2-VL 2B model for CPU inference using OpenVino IR format, with practical implementation steps and performance insights.
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1 Lesons
34 minutes
On-Demand
Free-Video