What's New for Xe2 Graphics and AI on Next-Gen Core Ultra | Talking Tech | Intel Technology

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In this episode of Talking Tech, we’re joined by Intel Fellow Tom “TAP” Petersen, who breaks down advancements in our Xe2 architecture at the core of Lunar Lake's built-in Intel Arc GPU. This scalable architecture will also serve as the foundation of our forthcoming discrete GPUs codenamed Battlemage. Second generation Xe cores are tuned for performance and efficiency, with deeper caches, larger ray tracing units, and enhanced vector engines that implement Xe Matrix eXtensions (XMX) to accelerate AI workloads like Xe Super Sampling (XeSS). We also discuss the challenges of running large AI models locally on AI PCs, along with various means of optimizing them.

Learn more about Lunar Lake in this in-depth overview: https://intel.ly/46QWrDr

How Intel Arc graphics are optimized for modern media codecs: https://intel.ly/4dTFQRL

Chapters:

0:00 - Intro

0:49 - Considerations for improving graphics performance

1:35 - Breaking down the Xe2’s scalable architecture

5:07 - A look at the current state of AI

7:08 - Running complex AI models on a local PC

9:14 - Using embedding for prompt-based generative AI models

13:41 - What does the future of local AI workloads look like?

14:44 - Teaching AI models with RAG

15:58 - The evolution of transformer models

19:12 – How quantization helps balance size and accuracy

22:05 - What’s new in Xe2

30:13 – Support for new media codecs

31:59 - Conclusion

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