Altera has been at the forefront of providing high-performance FPGAs (Field Programmable Gate Arrays) and SoCs (System on Chips) that enable AI workloads at the Edge. With the growing demand for real-time data processing and decision-making at the point of capture, Altera’s focus on accelerating AI inference at the Edge has become a cornerstone of its product strategy.
Altera’s FPGAs are uniquely suited to the needs of AI applications due to their ability to provide parallel processing, low-latency execution, and flexibility for custom hardware acceleration. Unlike traditional CPUs or GPUs, which are fixed in architecture, FPGAs allow for dynamic reconfiguration, making them ideal for applications that require both high performance and adaptability, such as machine learning, computer vision, and autonomous systems. Altera’s solutions are being increasingly adopted in industrial automation, automotive, and telecommunications, where AI-driven decision-making needs to happen in real-time, often with limited bandwidth or connectivity to the Cloud.