Browse Articles By
Technologies
Markets
Development Stage
Corporate Updates
Training & Events
Unlocking Speech-to-Speech with Generative AI
Date: March 4, 2025
Location: online, on-demand
Hardware
From motherboards to device testing, and hardware integration to media duplication—hardware is the foundation for so much of our technology. Explore our resources to get technical expertise and stay up to date with hardware trends and technology.
From Connected Devices to Physical AI: How IoT Became the Foundation for Intelligent Systems
By
Michaël Uyttersprot
-
2026年9月21日
There is now a gap that defines the next phase of IoT. AI is providing the interpretation layer, while edge AI is bringing selected inference workloads closer to the source of the data.
Why “Reliability” is Becoming a Crucial KPI in Edge AI: Moving Beyond TOPS, FPS, and Benchmark Hype
By
Michaël Uyttersprot
-
2026年9月11日
TOPS, FLOPS, FPS, model size, and benchmark scores have all become familiar reference points for comparing AI hardware. While these metrics matter, they do not tell the full story.
Semiconductor Market Pulse: Five Insights for Q3 2026
By
Thomas Foj
-
2026年8月14日
Exploring the current semiconductor market shifts, technological trends, and supply-chain signals influencing Q3 2026.
The New Reality of Memory Supply: Navigating the Memory Shortage
By
Avnet Staff
-
2026年4月28日
AI is increasingly moving from the cloud to the edge, driving additional needs in areas such as power management, sensors and microcontrollers, not just high‑end compute.
Why Performance per Watt Is Becoming the Key Metric in Edge AI
By
Michaël Uyttersprot
-
2026年4月27日
In many deployments, systems must run continuously for extended periods without intervention, making reliability a primary design concern alongside performance.
Enabling Efficient Edge AI with DEEPX NPUs and the Avnet Silica Ecosystem
By
Michaël Uyttersprot
-
2026年3月17日
Learn how you can enable efficient Edge AI with DEEPX NPUs and the Avnet Silica Ecosystem.
Memory is Breaking Product Plans
By
Alex Iuorio
-
2026年3月6日
AI demand is reshaping memory supply, pricing and availability. What changed, why it matters and what OEM teams can do now.
FPGA vs GPU vs CPU vs MCU – hardware options for AI applications
By
Michaël Uyttersprot
-
2026年1月6日
Field programmable gate arrays (FPGAs) deliver many advantages to artificial intelligence (AI) applications. How do graphics processing units (GPUs) and traditional central processing units (CPUs) compare?
Advancing quality control: The Evolution, Impact and Future of Defect Visual Inspection (DVI) in Manufacturing
By
Michaël Uyttersprot
-
2023年7月26日
In the complex realm of manufacturing, Defect Visual Inspection (DVI) has emerged as a critical process, evolving significantly over time.
How no-code design could accelerate Industrial IoT development
By
Philip Ling
-
2022年1月14日
Developing large numbers of new and diverse devices for an Industrial IoT solution can challenge your engineering resources. Using a no-code approach to development can reduce the size and complexity of that challenge.
Behind the datasheet: HW-RTOS
By
Philip Ling
-
2022年1月12日
Using hardware accelerators is nothing new, but what about an accelerator to improve the way your operating system handles data communications?
Top 10 pitfalls in developing machine vision systems with artificial intelligence
2021年4月28日
Machine vision (MV) and artificial intelligence (AI) provide valuable inspection and analysis capabilities to a wide range of leading-edge applications. As with all advanced technologies, there are pitfalls to avoid.
The state of automotive only starts with autonomous driving
2020年4月4日
Learn how the state of automotive spans a variety of applications, from electrication to in-cabin AI.
Somewhere between the Flintstones and the Jetsons
2020年4月4日
Learn more about developing adaptable automotive automation with Xilinx
IoT Agencies: How to Jump-Start Projects
2020年2月15日
Many companies face the challenge of realizing their IoT projects, and agencies can help. Their services range from the examination of the idea to developing the operational prototype.