Latest from Vellex: News, Blogs, and Publications

AI’s rapid growth, powered by energy-hungry GPUs, has sparked a sustainability crisis driven by the inefficiency of digital computing’s von Neumann architecture. To overcome this, innovators are reviving analog and neuromorphic computing, which process data directly in memory, eliminating energy-intensive data movement. Companies like Vellex Computing are leading this shift, enabling ultra-efficient, brain-inspired chips that bring powerful, sustainable AI to edge devices worldwide.

AI and high-performance computing are hitting an energy wall as digital architectures consume unsustainable power for data movement and training. Analog computing offers a breakthrough - processing information through continuous physical dynamics instead of binary logic, enabling up to 100× energy efficiency and real-time performance. By computing with physics itself, analog systems redefine performance metrics and pave the path toward sustainable, high-efficiency intelligence.

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.