To solve decoding bottlenecks in AI training, this research proposes a storage co-design that breaks cross-frame dependencies. This approach addresses decode amplification caused by the sequential reconstruction required for random temporal sampling in large datasets.
HOW THIS AFFECTS YOU
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builderThis could significantly reduce the compute cost and latency of training on massive video datasets.