Intel has announced it surpassed 500 AI models running optimised on new Intel Core Ultra processors.
This marks a significant achievement for Intel's commitment to nurture and support the AI PC revolution.
Not only has the Intel Core Ultra processor emerged as the fastest-growing AI PC processor, it also stands as the most robust platform for AI PC advancement.
Intel has announced it surpassed 500 AI models running optimised on new Intel Core Ultra processors– the AI PC processor, featuring AI experiences, immersive graphics and optimal battery life.
“This significant milestone is a result of Intel’s investment in client AI, the AI PC transformation, framework optimizations and AI tools including OpenVINO toolkit,” the company announced in a press release.
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The 500 models, which can be deployed across the central processing unit (CPU), graphics processing unit (GPU) and neural processing unit (NPU), are accessible through leading industry platforms like OpenVINO Model Zoo, Hugging Face, ONNX Model Zoo, and PyTorch.
Also read: Intel Vision 2024: Intel Gaudi 3 boasts 50% better performance with a focus on open standards of AI
Why Does It Matter?
Exceeding the milestone of 500 AI models marks a significant achievement for Intel’s commitment to nurture and support the AI PC revolution. Not only has the Intel Core Ultra processor emerged as the fastest-growing AI PC processor thus far, it also stands as the most robust platform for AI PC advancement, according to the company.
Models form the backbone of AI-enhanced software functionalities such as object removal, image super resolution, or text summarization. The correlation between the quantity of enabled and optimized models and the scope of user-facing AI functionalities that can be introduced to the market is direct. Without a model, the groundwork for a feature cannot be laid, and without runtime optimization, the feature cannot achieve its optimal performance.
How AI Models Work
AI models are like the building blocks of software that powers AI-driven applications. They’re trained to analyse data, make decisions, and perform tasks based on what they’ve learned. When developers create new features for AI-powered computers, they can use these models as a starting point. The more models there are, the more cool features we can add to AI computers.
These models can work with text, speech, audio, images, and other things common to the PC experience.
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Ayushi Jain
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