The Edge LLM Offload Story


By Karthikeyan Shanmuga Vadivel and Sauryadeep Pal Developers and system architects today face a growing demand to enable large language model variants on device. They are facing pressure to support transformer-capable models on constrained devices to ensure data privacy, eliminate cloud API charges, and provide offline reliability. On-device execution is also becoming a necessity to meet st... » read more

Beyond the Clinic: A Blueprint For Developing Reliable, Edge AI-Enabled Medical Devices


In a quiet farmhouse in rural Utah, hundreds of miles from the nearest city, a pregnant mother wakes up and waits for a kick that doesn’t come. In this part of the country—one of the many "medical deserts" where 30% of counties lack a single gynecologist—the nearest hospital is a 500-mile journey. Usually, this moment of silence leads to a desperate phone call to an HMO where a nurse asks... » read more

Embedded World 2026: Bringing Edge AI Into The Real World


Embedded World 2026 made one thing clear: AI is no longer confined to the cloud—it’s moving decisively onto the device. Across our demos and conversations, a consistent theme emerged: intelligence is shifting closer to where data is created—into devices, environments, and the physical world. From smart homes to industrial systems and a wide range of emerging robotics applications, the ... » read more

The New Design Advantage: Why Unifying Processing And Connectivity Simplifies The Design Experience


Devices are becoming smarter, more capable, and more distributed, but the way we design them has not kept pace. For engineers, that progress increasingly brings tradeoffs: latency bottlenecks, rising power demands, and fragmented system architectures that complicate even well-understood designs. As functionality increases, so does the difficulty of fitting multiple analog and digital components... » read more

The Role Of Embedded Processors In Enabling Smarter Wireless Devices


Every modern wireless device is expected to be fast, intelligent, power-efficient and always connected. When engineers seek reliable ways to deliver that intelligence without adding unnecessary complexity, they quickly discover that the embedded processor is the starting point. Below, we’ll explore the role of embedded processors in enabling smarter wireless devices and how they support p... » read more

Charting The Course For A Truly Multi-Modal Device Edge


The world is witnessing an AI tsunami. While the initial waves of this technological shift focused heavily on the cloud, a powerful new surge is now building at the edge. This rapid infusion of artificial intelligence is set to redefine IoT devices and applications, from sophisticated smart homes to highly efficient industrial environments. This evolution, however, has created significant fr... » read more

Why Openness Matters For AI At The Edge


AI continues to migrate towards the edge and is no longer confined to the data center. Edge AI brings several key advantages, delivering intelligence closer to where data is generated, improving latency for critical functions, ensuring privacy by limiting transmitted data, and reducing energy consumption for AI. Edge AI encompasses systems performing AI inferencing directly where data is cre... » read more

The Rise Of Scalable AI SoCs For The IoT Device Edge


The landscape of computing is undergoing a profound transformation, with Artificial Intelligence (AI) at its forefront. This shift is particularly evident at the device edge, where traditional System-on-Chip (SoCs) implementations are being reimagined to effectively support demanding AI and machine learning (ML) workloads. This evolution necessitates the development of a new class of AI-capa... » read more

Artificial Intelligence Of Things (AIoT) Guide


For organizations exploring connected technologies, the conversation around the Internet of Things (IoT) has shifted. They are looking to make devices smarter, responsive and capable of operating with greater insight. The Artificial Intelligence of Things (AIoT) combines the sensor-driven, networked structure of IoT with the decision-making power of artificial intelligence (AI) at the edge t... » read more

Wi-Fi 7 And Wi-Fi 8: Key Features, Differences, And What They Mean For Product Development


Wi-Fi 7 is reshaping how devices communicate, and Wi-Fi 8, with even more advanced capabilities, is on the horizon. Businesses building connected devices need to understand how next-generation Wi-Fi impacts design decisions, user expectations and product viability. Whether you're developing smart home devices, industrial systems or enterprise-grade solutions, staying ahead of these evolvin... » read more

← Older posts