Amazon uses custom Trainium chips to accelerate the Prime 360 live broadcast diffusion model.

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Amazon uses custom Trainium chips to power Prime 360 live broadcasts, now featured in NBA on Prime streams. The system captures court footage with high-resolution cameras and uses an AI diffusion model to generate cinematic highlights in real time. The model performs billions of operations per frame, including matrix multiplication and iterative denoising. Trainium’s “tile in, tile out” design splits frames into overlapping tiles for parallel processing, reducing inference latency by over 40%. On-chain data shows growing interest in altcoins to watch as such technologies gain mainstream adoption.
ME AI message: Amazon has introduced Prime 360 technology during select NBA on Prime live broadcasts, capturing footage with a high-resolution camera array surrounding the court and using an AI diffusion model to generate immersive, cinematic highlight reels frame by frame, embedded directly into the live stream. According to AmazonScience, the diffusion model requires billions of mathematical operations per frame—including matrix multiplications, attention calculations, and iterative denoising. To meet real-time requirements, Amazon deployed its custom AI chip, Trainium. Trainium employs a "tile in, tile out" architecture optimized for workflows where both inputs and outputs are large tensors; for Prime 360, the diffusion model splits each frame into dozens of overlapping tiles processed independently, reducing inference latency by over 40%. Previously, custom chips were primarily used to support AWS cloud infrastructure—this is the first time they are directly delivering content to millions of viewers' screens. (Source: InFoQ)
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