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ABSTRACT
Neural rendering. Offloading overloaded NPUs. Protection against evolving AI models. Developer-friendly programming. Reduced system complexity. There are many reasons why edge AI systems benefit from a GPU that delivers fast, efficient and fully programmable AI acceleration.… Read More
The rapid growth of AI applications in edge devices has created a strong demand for specialized hardware capable of performing high-performance neural network inference under strict power and latency constraints. Traditional CPUs and GPUs often struggle to meet the efficiency requirements of embedded and mobile systems.… Read More
As edge AI systems become more centralized and compute-dense, on-chip data movement is increasingly the architectural bottleneck. NXP’s expanded deployment of Arteris network-on-chip (NoC) and cache-coherent interconnect IP highlights a broader industry trend: interconnect architecture is now a first-order design … Read More
The explosive growth of AI and accelerated computing is placing unprecedented demands on system-on-chip (SoC) design. Modern AI workloads require extremely high bandwidth, ultra-low latency, and energy-efficient data movement across increasingly heterogeneous architectures. As SoCs scale to incorporate clusters of… Read More
In the rapidly evolving landscape of connected devices, where artificial intelligence meets the physical world, Ceva has unveiled a groundbreaking solution: the Ceva-Waves Wi-Fi 7 1×1 client IP. Announced on October 21, 2025, this IP core is designed to supercharge AI-enabled IoT devices and pioneering physical AI systems,… Read More
There is a built-in challenge for edge AI intended for long time-in-service markets. Automotive applications are the obvious example, while aerospace and perhaps medical usage may impose similar demands. Support for the advanced AI methods we now expect – transformers, physical and agentic AI – is not feasible without dedicated… Read More
In an era where artificial intelligence workloads are growing in scale, complexity, and diversity, chipmakers are facing increasing pressure to deliver solutions that are not only fast, but also flexible and programmable. Semidynamics recently announced Cervell™, a fully programmable Neural Processing Unit (NPU) designed… Read More
Founded with a vision to create transformative, customizable IP solutions, Semidynamics has emerged as a significant player in the AI hardware industry. Initially operating as a design engineering company, Semidynamics spent its early years exploring various pathways before pivoting to develop proprietary intellectual… Read More
As artificial intelligence (AI) and machine learning (ML) models continue to evolve at a breathtaking pace, the demands on hardware for inference and real-time processing grow increasingly complex. Traditional hardware architectures for acceleration are proving inadequate to keep up with these rapid advancements in ML … Read More
Semiconductor intellectual property (IP) plays a critical role in modern system-on-chip (SoC) designs. That’s not surprising given that modern SoCs are highly complex designs that leverage already proven building blocks such as processors, interfaces, foundational IP, on-chip bus fabrics, security IP, and others. This… Read More
