The open-source nature of RISC-V brings the benefits of a modular and royalty-free instruction set architecture (ISA) that eliminates licensing fees, can accelerate development, and fosters customization for diverse applications, including artificial intelligence (AI), machine learning (ML), the Internet of Things (IoT), and embedded systems. Automation levels are being increased in many types of applications, […]
AI
How is physical artificial intelligence used to optimize data center efficiency?
Physical AI (PAI) in data center power systems uses machine learning for predictive maintenance, energy optimization, load balancing, and physical security. In essence, PAI is being used for data center optimization to support the demands of digital AI (DAI) applications like training large language models (LLMs), running inference for real-time applications, and supporting infrastructure like […]
COM Express module scales edge AI compute
The SOM-COMe-BT6-PTL from SECO is a COM Express Type 6 Basic module based on Intel Core Ultra Series 3 processors, combining hybrid CPU cores, an Intel NPU 5 delivering up to 50 TOPS and up to 180 platform TOPS for edge AI workloads. The module supports up to 128 GB DDR5 memory, PCIe Gen4 and […]
Cloud connectivity for edge AI: bridging the demo-to-deployment gap
Most edge AI demonstrations operate flawlessly in controlled environments with stable networks, predictable traffic, and carefully managed credentials. In contrast, many production deployments fail under real-world conditions. This technical article outlines the best practices required for reliable edge AI deployment. It covers bandwidth planning for peak conditions and buffering strategies that maintain stability during degraded […]
