AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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GeoMesh is presented, a synchronous geo-distributed training framework for heterogeneous GPUs that balances per-worker workloads by assigning each GPU a suitable batch size and number of inner steps, so faster GPUs do more useful work instead of waiting.
This paper proposes CONA, a new training method that introduces online strategy chaining, which ranks candidate strategies during training using a surrogate metric built from compute throughput and gradient statistics, and switches the current strategy to a new strategy with a higher metric.
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