Results for: Edge Computing

The global embedded computing market is experiencing a surge, projected to reach USD 174.38 billion by 2031, driven by the widespread adoption of IoT across various industries. This growth is fueled by the integration of embedded systems in IoT devices, enabling connectivity and data sharing. The miniaturization of components and decreasing prices of embedded chips further contribute to this trend. Edge computing, leveraging embedded systems for real-time data processing, is also a major driver. Learn more about the market size, key trends, and influential players shaping the future of embedded computing.

The global automotive AI market is projected to reach a value of US$ 13.0 billion by 2034, driven by the rise of autonomous vehicles, connected car technology, and edge computing. Leading players like NVIDIA, Intel, and Waymo are spearheading innovation in areas such as autonomous driving, vehicle connectivity, and predictive maintenance. Key growth drivers include increasing demand for safety and performance, collaborations between automakers and tech companies, and government support for AI research.

Super Micro Computer, Inc. (SMCI) announced the launch of a high-density 3U Edge AI inferencing system, aimed at powering AI applications at the network edge. The launch comes amidst a Department of Justice investigation into the company following allegations of accounting irregularities. SMCI shares initially climbed in premarket trading but plunged at the opening bell.

Vaaman is an innovative edge computing board developed by Vicharak that combines a six-core ARM CPU, FPGA with 112,128 logic cells, and a 300-MBps link between the FPGA and CPU. It offers exceptional performance in complex workloads, AI/ML applications, cryptographic algorithms, real-time video and image processing, and custom hardware creation. Vaaman empowers developers with a platform for innovation, enabling the optimization of performance, power consumption, and resource utilization for edge applications.