AIMeta Engineeringabout 2 hours ago
Meta Doubles GEM Ads Model Training Efficiency
24 min read
Meta's GEM ads recommendation model doubled training efficiency using custom kernels and low-precision methods. Custom JFA and GDPA kernels improved GPU utilization, while MXFP8 training and sliding-window attention cut latency. These optimizations delivered over 30% end-to-end throughput gains across thousands of GPUs.
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