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Hardware Software Codesign for Edge AI — Lecture 1 — Computational Requirements of Modern Deep Learning Models | by AIoTBlocks | Medium
Embarking on the journey of hardware-software codesign is an exciting challenge. Often, we find that many courses and instructors encourage reliance on frameworks and packages, glossing over the…
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Hardware Software Codesign for Edge AI — Lecture 7— GPU and CUDA Programming | by AIoTBlocks | Medium
In this comprehensive article, we embark on a journey through the utilization of CUDA for training artificial intelligence models on graphics processing units (GPUs), delving into the fundamental…
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Hardware Software Codesign for Edge AI — Lecture 3 — Edge AI on Nvidia Jetson | by AIoTBlocks | Medium
AI is revolutionizing businesses with automation, improved data analysis, and enhanced engagement. NVIDIA Jetson™ is the leading platform for robotics and embedded edge AI applications, offering you…
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Hardware Software Codesign for Edge AI — Lecture 4— Deep Learning Basics for Optimization - AIoTBlocks - Medium
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Hardware Software Codesign for Edge AI — Lecture 5 — Pruning and Sparsity - AIoTBlocks - Medium
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Hardware Software Codesign for Edge AI — Lecture 6 — Quantization - AIoTBlocks - Medium
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Hardware Software Codesign for Edge AI — Lecture 7— Nvidia TensorRT | by AIoTBlocks | Medium
In this article, we will delve into TensorRT, NVIDIA’s deep learning inference optimizer, and explore how it optimizes deep learning models for deployment, enhancing their performance while reducing…
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