Gómez-González, Pedro-PabloJove, EstebanCalvo-Rolle, José Luis2026-09-182026-09-182025Gómez-González, P. P., Jove, E., & Calvo Rolle, J. L. (2026). Accelerating Inference in Computer Vision Tasks with VCK190 and Vitis AI. In Proceedings XoveTIC 2025: Impulsando el talento científico (pp. 91-98). Servizo de Publicacións UDC. https://doi.org/10.17979/spu.23.c22978-84-9749-925-5https://hdl.handle.net/2183/49324Presentado en: VIII Congreso Xove TIC: impulsando el talento científico. Octubre, 2025, A Coruña.[Abstract] The increasing use of Deep Neural Networks (DNNs) for real-time tasks has created a need for specialized hardware accelerators.This paper presents a study of the Xilinx VCK190 development board, a next generation Adaptive Compute Acceleration Platform (ACAP) for artificial intelligence tasks, representing a first approach to this technology at the Universidade da Coru˜ña. The work details a complete workflow using Vitis AI, covering the quantization, compilation, and deployment of a neural network model. The results establish a solid technical baseline, intended to facilitate the integration of this advanced hardware into future academic and research projects.engAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/VCK190 ACAPVitis AI workflowDeep neural network accelerationNeural network quantizationEdge AI deploymentconference outputopen access10.17979/spu.23.c22