Latest from Vellex: News, Blogs, and Publications

Discover the ultimate guide to AI chips in 2025, comparing CPUs, GPUs, TPUs, FPGAs, ASICs, and analog processors. Learn how to boost processing performance, reduce energy costs, and choose the best chip for your AI workloads. Explore cost ranges, efficiency, and real-world applications, and understand why selecting the right AI processor can accelerate training, inference, and large-scale machine learning projects. Perfect for entrepreneurs and tech enthusiasts.

Alternating Current Optimal Power Flow (ACOPF) is a critical tool for managing electricity grids efficiently, balancing generation, transmission, and demand while minimizing costs and emissions. Beyond technical optimization, it drives business value by reducing losses, lowering energy costs, and enhancing reliability. As grids integrate renewables and face growing demand, ACOPF solutions, including AI-driven and high-performance computing approaches are essential for utilities, industrial users, and policymakers seeking resilient, sustainable, and profitable energy systems.

The automotive industry’s shift to electrification, autonomy, and software-defined vehicles demands faster, more efficient computing. Analog compute addresses power, latency, and bandwidth challenges by processing signals near the source, reducing ECU load and cost. Real-world deployments from Tesla, Toyota, Volkswagen, and Waymo show gains in battery life, motor control, and safety. Emerging in-memory and in-sensor compute promise even greater efficiency. In this blog, we talk about how Analog computing is opening new frontiers in automobiles.