Frontiers of Modern AI: Multimodality and Accelerated Computing

Abstract

A guided tour of the two frontiers shaping modern AI: multimodal fusion architectures that combine text, vision, and audio, and the accelerator stack (H100, TPU v6e, Trainium) that makes training them possible.

Outline

1. 01Why multimodality and accelerated computing are converging
2. 02Multimodal fusion architectures in brief
3. 03The accelerator stack: H100, TPU v6e, Trainium
4. 04What this means for the next generation of models

Key takeaways

• Capability gains now come from both data modality and hardware
• Knowing your accelerator options is a research advantage

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