When AI Clusters Reach 1.6T: Look Beyond GPUs - IP&E Is the Data Center’s “Hidden Bus”
2026/10/01
Compute silicon defines the performance ceiling, but IP&E determines whether the system can remain stable under extreme load.
The Rise of 48V: A New Foundation for Software-Defined Vehicles
2026/09/01
Traditional 12V electrical architectures are gradually reaching their limits in terms of power delivery and efficiency, driving the automotive industry to seek a more capable solution for future vehicle platforms.
When Motors Learn to Think: Three Key Links Between Agentic AI and Industrial Control
2026/08/10
Bringing Agentic AI into embedded control architectures is emerging as an important trend that could reshape the underlying logic of industrial control.
The Hidden Factor Limiting Edge AI Performance: Why the Analog Front End Matters
2026/07/15
By establishing a strong foundation for signal processing at the source, engineers can provide AI systems with higher-quality data, enabling more reliable, intelligent, and impactful applications across industries.
Discover the multitool of modules that keeps everyone happy
By
Stefano Rosato
-
2026/07/06
Unprecedented is such an overused word, so it takes a lot for us to choose it when talking about products in our portfolio. However, we took an executive decision on this one, as we believe the TCXD050IBLON-173 5.0-inch TFT-LCD module deserves every acco...
Rethinking RF and analog front ends for smarter edge AI
By
Avnet Staff
-
2026/07/02
This article treats RF and AI as one design problem, exploring how to partition RF/AFE, data conversion and edge processing across vibration, RF condition monitoring and low power sensing use cases, with a practical co design checklist.
Low-voltage MOSFETs and supply chain resilience are powering the next generation of automotive electronics
By
Miguel Tapia
-
2026/06/29
Low-voltage MOSFETs reach up to around 200V; a range that is increasingly important in automotive applications that show signs of evolving into complex mobile networks.
Managing component obsolescence and second-source risk in an AI era
By
Avnet Staff
-
2026/06/04
Nervousness coming from AI driven demand spikes is leading engineers to ask more questions about lifecycles, using distributor data to anticipate and mitigate unwelcome surprises.
Gartner’s Top 2026 Trend: What Is Physical AI Really Changing?
2026/06/01
AI is no longer confined to digital or virtual environments. Instead, it is rapidly moving into the physical world, embedding itself into real-world operations.
Maximizing multi-antenna performance in dense industrial deployment
By
Avnet Staff
-
2026/05/12
With multiple wireless channels becoming the norm rather than the exception, industrial IoT and smart building networks are like RF jungles. Here’s what engineers can do to mitigate the impact.
Portable hydrogen HVAC enables off-grid cooling
2026/05/01
Using hydrogen to power heating and cooling is not just a technological upgrade—it represents a fundamental rethinking of energy logic.
Redefining Vehicle Architecture in the Software Defined Era
2026/04/01
Vehicles are no longer purely mechanical systems—they are rapidly evolving into highly connected, software defined intelligent mobility platforms.
Pluggable vs. co-packaged optics in AI data centers: Power, scale and design trade-offs
By
Avnet Staff
-
2026/03/03
Pluggable optics have been the de facto choice in data center communication for years. However, in 2025, support for co-packaged optics grew. Power savings are a primary reason for change, but lower insertion losses are another potential benefit.
Training large AI models consumes massive power—who will be the next-gen AI “power manager”?
2026/03/01
To address the extreme challenges in electricity posed by AI computing power, the key solution lies in building end-to-end capabilities.
Wireless sensing technologies usher in the seamless era
2026/02/16
This is the future that collaborative wireless sensing technologies is ushering in – a smarter, smoother space where the digital and physical worlds converge and merge, seamlessly.
How N&C engineers can manage 7 top AI challenges
By
Avnet Staff
-
2026/02/04
AI-era networks are moving faster, their data denser, and their traffic flowing in more directions than ever before — and even tiny inefficiencies can amplify into system-wide slowdowns.
4D imaging millimeter wave radar equips vehicles with superhuman vision
2026/01/12
As technology continues to evolve, next-generation ADAS systems will no longer rely solely on a single sensor technology but will move toward multi-technology fusion.
The move to 48 volts in transportation
By
Miguel Tapia
-
2025/12/16
The move from 12 and 24 volts to 48 volts is reshaping how companies approach mobility and robotics. It's a clear signal that the industry’s raising the bar for what’s possible in terms of performance and safety.
Wide bandgap continues to disrupt
By
Philip Ling
-
2025/12/15
The supply chain for wide bandgap (WBG) solutions is now maturing, which means we’re seeing consolidation, acquisition and even some attrition. This turbulence is both predictable and surmountable.
Adding AI and machine learning to IoT
Avnet is helping more manufacturers integrate more types of AI and machine learning into more products. Multimodal AI and agentic AI will be crucial developments if artificial intelligence is to become seamlessly integrated into our lives.
New insights into design practices using development kits
By
Philip Ling
-
2025/12/11
Development kits offer a fast and affordable way for engineers to explore new technologies and for managers to assess project viability. Discover how to select the ideal kit for your project.
Beyond the datasheet: New connectors for liquid cooling
By
Philip Ling
-
2025/12/10
Using liquids for heat exchange isn’t new in the industrial, aerospace and automotive industries. Now, as power dissipation in servers climbs above the 10s and into the 100s of kWs, it’s time to use the same approach for a different technology.
Roundtable discussion: For today’s supply chain, it’s all about resilience
By
Valeri Oliver
-
2025/12/09
The modern supply chain is always evolving, whether due to geopolitical upheaval, natural disasters or other factors. Hear straight from three of Avnet’s supply chain experts about the latest trends in supply chain resilience, data mapping and more
Resilience by design: The supply chain’s new imperative
By
Robert Cowan
-
2025/12/08
The instinct to react quickly in a crisis is human. But in the supply chain world, speed without strategy can be futile. Use a counterintuitive approach: strategic patience. Sometimes the smartest move is to slow down.
Ultra-wide bandgap surpasses GaN and SiC in power electronics
By
Avnet Staff
-
2025/12/02
Gallium oxide power semiconductors promise to revolutionize applications from EV powertrains to renewable energy and aerospace electronics with a leap in power conversion efficiency.
Cloud collaboration + AI: building sustainable development for smart agriculture
2025/12/01
Traditional farming has relied on wisdom passed down through the generations. Today, a profound revolution is underway. “Farming by data” is transforming agriculture from labor-intensive toil into smart, decision-driven cultivation.
Key factors impacting autonomous transportation
By
Philip Ling
-
2025/11/26
Transportation covers more than personal vehicles, and autonomy will change society beyond self-driving cars. A small number of factors have a big impact on this widespread change. The largest opportunities are driving developments.
Optimized analog front-end design for edge AI
By
Avnet Staff
-
2025/11/21
Connected applications are in transition, from the internet of things (IoT) to the artificial intelligent internet of things (AIoT). Real-world data is now doing double-duty. How does that impact analog design?
High-stakes, high-performance power management technology
2025/11/15
In the near future, AI data centers will set the standard for smart energy management, laying a strong foundation for AI’s future evolution.
Low-latency power management in edge AI architectures
By
Avnet Staff
-
2025/11/06
Can traditional power management techniques meet AI's computational demands while satisfying the stringent latency requirements of real-time systems? We look at solutions to this fundamental challenge for edge AI developers.