San Francisco, Oct 24 : Consumer electronics major Lenovo and graphics chip giant Nvidia on Tuesday announced new hybrid AI solutions and engineering collaboration to bring the power of generative AI to every enterprise. In close collaboration with Nvidia, Lenovo will deliver fully integrated systems that bring AI-powered computing to everywhere data is created, from the edge to the cloud, helping businesses easily deploy tailored generative AI applications, the companies said during the global 'Lenovo Tech World' event in Austin, Texas. Lenovo Chairman and CEO Yuanqing Yang and Nvidia founder and CEO, Jensen Huang, discussed businesses' need for end-to-end solutions that bring together accelerated systems, AI software and expert services to quickly build and run custom AI models using their own data. 'Together, Lenovo and Nvidia are driving a new era of Hybrid AI for businesses, designing the next generation of technology that delivers an AI-powered future now and unlocks the power of their data anywhere it is created,' said Kirk Skaugen, President of Lenovo Infrastructure Solutions Group. Supported by the new Lenovo AI Professional Services Practice, the solutions enable enterprises to use a hybrid cloud approach. 'With generative AI driving the greatest technology transformation of our time, enterprises are seeking solutions that give them the flexibility to develop and deploy workloads across their workstations, data centers and clouds,' said Bob Pette, Vice President of Enterprise Platforms at Nvidia. 'Nvidia and Lenovo are providing a comprehensive portfolio of hybrid AI systems that businesses can rely on to power generative AI from virtually anywhere,' he added. Lenovo's Nvidia-powered systems are optimised to run Nvidia AI Enterprise software for secure, supported and stable production AI. Additionally, Lenovo and Nvidia will create next-generation systems based on the flexible NVIDIA MGX modular reference design to deliver a wide range of robust and secure solutions for the most demanding generative AI workloads. /IANS