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Meta presents Chakra execution traces, an open graph-based representation of AI/ML workload execution, laying the foundation for benchmarking and network performance optimization. Chakra execution traces represent key operations, such as compute, memory, and communication, data and control dependencies, timing, and resource constraints. In collaboration with MLCommons, we are seeking industry-wide adoption for benchmarking. Meta open [...] Read More... The post Using Chakra execution traces for...