Lenovo unveiled its most comprehensive AI capabilities to date and revealed further plans for its ‘AI for All’ vision, which aims to unleash the power of AI to drive intelligent transformation in every aspect of everyday life and in every industry. The company has also announced its plans to advance its vehicle computing roadmap in partnership with NVIDIA.
► Billion-dollar investment in innovation to support ‘hybrid AI’
► Lenovo will use NVIDIA DRIVE Thor to power autonomous systems
With AI for All, Lenovo has plans to integrate AI into all its solutions and services. Earlier this year the company announced a further $1 billion investment in AI innovation and shared its dynamic approach to ‘hybrid AI’; Lenovo believes that public, private, and personal foundation models will co-exist in order to enable AI to be used by everyone in every industry.
As part of this – and to ensure user data security and user privacy – Lenovo will provide AI capabilities that operate exclusively within a device, or securely with on-premises servers. In both instances, Lenovo AI will learn from data provided by an individual user or through the proprietary data of an enterprise, while ensuring no information is shared publicly or enters open training data sets. According to Lenovo, as well as being more secure, this approach will produce more powerful and personalised results.
Lenovo revealed its vehicle computing roadmap at its recent annual Tech World event in Austin, Texas, and demonstrated new products based on the NVIDIA DRIVE Thor AI vehicle computing platform, which it will be using to power automotive intelligent controllers. The company demonstrated a virtual assistant that can understand driver and passenger preferences, predict their needs, and respond as if it were a real human assistant.
The next-generation NVIDIA DRIVE Thor system-on-a-chip harnesses advanced AI capabilities first deployed in NVIDIA Grace CPUs, as well as NVIDIA Hopper and Ada Lovelace architecture-based GPUs, in a single architecture for greater efficiency and lower overall system cost. DRIVE Thor is expected to deliver up to 2,000 teraflops of high-performance compute for functionally safe and secure intelligent driving.
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