Being first to market can mean the difference between success and failure of a new product. But rapid product development brings challenges. With the growing use of AI in embedded vision applications, designers need more flexibility to change and refine their designs during development and over the product life cycle. The choice of processor type has a significant impact on development time. In the past, designers often opted for ASICs, but their development cost and inflexibility makes them less suitable for today’s rapidly evolving requirements. In contrast, FPGAs can be reprogrammed after deployment. Additionally, FPGAs’ parallel processing capabilities make them valuable for offloading tasks from a CPU, adding processing power and freeing the CPU for other tasks. In this talk, we’ll show how Lattice’s Avant family, a new class of midrange FPGAs, coupled with the sensAI solution stack, brings optimized AI performance and high-speed connectivity to help designers accelerate design cycles, adapt designs as they go and accommodate changing algorithms without sacrificing power consumption and size.