AMD moves Versal AI Edge Series Gen 2 and Prime Series Gen 2 adaptive SoCs toward production

AMD´s next-generation Versal adaptive SoCs, with enhanced Artificial Intelligence and compute performance, advance to sampling and broader customer access.

AMD has announced significant progress in its Versal adaptive system-on-chip (SoC) portfolio with the Versal AI Edge Series Gen 2 and Versal Prime Series Gen 2 devices advancing toward production. These latest extensions provide embedded systems with advanced single-chip solutions, designed to deliver higher computational capabilities and enhanced Artificial Intelligence acceleration. The Versal Prime Series Gen 2 achieves up to a tenfold improvement in scalar compute compared to AMD’s current adaptive SoCs by combining programmable logic for adaptable, real-time sensor processing and robust embedded computing in a compact form factor.

The Versal AI Edge Series Gen 2 builds on this robust architecture by integrating next-generation AI Engines, enabling seamless acceleration throughout the lifecycle of edge Artificial Intelligence processing, including preprocessing, inference, and postprocessing tasks. This architectural evolution equips developers and system integrators with the ability to implement powerful, energy-efficient, and versatile Artificial Intelligence-driven solutions directly at the edge—minimizing latency and enhancing real-time decision-making for complex embedded applications.

AMD has begun sampling the Versal AI Edge Series Gen 2 to a select group of early access customers, while the Versal Prime Series Gen 2 will enter its sampling phase by mid-year. In tandem with the rollout of the 2025.1 design suite tools, both product lines shift from early access to general access status. This strategic move means all interested customers can now benefit from full product documentation as well as hands-on evaluation, leveraging widely-used platforms like the AMD Vivado Design Suite and the Vitis Unified Software Platform. The transition signals AMD’s readiness to expand its reach in the embedded and edge Artificial Intelligence markets as these advanced SoCs near broad commercial availability.

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