Adaptive Computing Overview - Adaptive computing enables users to build custom processing pipelines, unlike CPUs and GPUs with fixed pipelines [1] - Adaptive computing allows for custom instruction sets, optimizing memory access and balancing throughput and latency [2] - Adaptive computing hardware can be optimized for specific applications and updated frequently, adapting to new design requirements without new hardware [2] AMD Adaptive Computing Portfolio - AMD Adaptive Computing portfolio includes FPGAs, Versal Adaptive SOCs, Kria SOMs, and Alveo Accelerator cards, reprogrammable for evolving customer needs [3] - AMD Versal AI Edge series Gen2 Adaptive SOCs optimize the complete AI data processing pipeline on a single chip [3] Applications and Customer Base - AMD Adaptive Computing is used in edge-based AI solutions, such as Subaru's EyeSight automated parking assist systems, Clarius' handheld ultrasound scanners, and SICK's intelligent sensor solutions [4] - Approximately 7,000 customers rely on the AMD Adaptive Computing portfolio [5]