
Articles
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1 month ago |
eetimes.com | Abhishek Jadhav
//php echo do_shortcode('[responsivevoice_button voice="US English Male" buttontext="Listen to Post"]') ?> The design of industrial systems often involves multiple components, such as MPUs, MCUs and FPGAs. This multi-chip setup creates complexity and elongates development cycles.
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1 month ago |
design-reuse.com | Abhishek Jadhav
By Abhishek Jadhav, EETimes (March 21, 2025) Unprecedented growth and demand for edge computing and high-performance computing (HPC) is creating new opportunities and significant challenges for custom chips. We spoke to Sondrel CEO Oliver Jones to discuss some of the approaches to addressing these needs. Custom chip design is a multifaceted process involving many considerations, from power efficiency and performance trade-offs to manufacturing and packaging complexities.
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1 month ago |
eetimes.com | Abhishek Jadhav
//php echo do_shortcode('[responsivevoice_button voice="US English Male" buttontext="Listen to Post"]') ?> Unprecedented growth and demand for edge computing and high-performance computing (HPC) is creating new opportunities and significant challenges for custom chips. We spoke toSondrel CEO Oliver Jones to discuss some of the approaches to addressing these needs.
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1 month ago |
edgeir.com | Abhishek Jadhav |Jim Davis
Often, edge computing and edge artificial intelligence are used interchangeably, but they are distinctly different ideas. In this article, we will explore the definition of edge AI and its role within the broader edge computing ecosystem. In simple terms, edge AI refers to the deployment of artificial intelligence algorithms on edge devices.
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1 month ago |
edgeir.com | Abhishek Jadhav
The growth of various sectors such as automotive, healthcare, agriculture, and even military applications is significantly driven by advancements in edge computing infrastructure. But what exactly is edge computing? At its core, edge computing involves processing data closer to its source—at the edge of the network—rather than transmitting everything to a central cloud service. Over the past decade, the demand for rapid responses in real-time data processing has surged.
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