Core Insights - SoftServe has been recognized as NVIDIA's Partner Network 2025 Partner of the Year for service delivery in the Americas, highlighting its significant contributions to enterprise AI adoption through Generative AI solutions built with NVIDIA Blueprints [1][2][3] Group 1: Awards and Recognition - The award reflects SoftServe's impact in accelerating enterprise deployments using NVIDIA AI Enterprise and NVIDIA Omniverse, with a focus on custom NVIDIA Blueprints and the introduction of the SoftServe QA Agent as the eighth solution in its Generative AI series [2][4] - SoftServe has previously received accolades, including the 2024 Consulting Partner of the Year for EMEA and the 2023 Outstanding Impact Partner of the Year, showcasing its strong support within the NVIDIA ecosystem [3] Group 2: Company Mission and Expertise - SoftServe's CEO emphasized that the award is a testament to the company's mission to ensure customer and partner success, achieved through hard work and collaboration with NVIDIA [3] - The global NPN Program provides partners with the necessary expertise to develop and deploy energy-efficient accelerated computing solutions for demanding machine learning and AI workloads [3] Group 3: Industry Context - Businesses are increasingly seeking trusted partners with proven expertise in delivering seamless AI experiences, and SoftServe has demonstrated broad capabilities in deploying tailored applications using NVIDIA technologies [4] - The announcement of the awards took place during NVIDIA's GTC 2025 conference, where SoftServe showcased its latest solutions, including the Gen AI Retail Shopping Assistant [4]

AUSTIN, Texas, March 18, 2025 (GLOBE NEWSWIRE) -- SoftServe, a premier IT consulting and digital services provider, today introduced the SoftServe QA Agent, an agentic AI solution aiming to accelerate quality and assurance (QA) processes with AI test automation. Launched during NVIDIA’s annual conference, GTC 2025, this new offering is SoftServe’s latest development on AI agents, preparing enterprises for a future where agentic AI and physical AI converge to redefine automation, robotics, and decision-makin ...