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Capturing and optimizing LLM agent behavior can slash operational costs by over 90% while maintaining high accuracy, challenging assumptions about model capability.
A single persistent CUDA kernel can outperform cuBLAS in inference tasks, achieving up to 1.33x speedup on NVIDIA's datacenter fleet.
