Rapid ML prototyping is a $4.2B market in 2024, yet 68% of engineering teams report wasting 12+ hours per week on framework overhead instead of model iteration. After benchmarking Keras 3.0 and FastAI 2.7 across 12 common prototyping tasks on NVIDIA A100 and consumer RTX 4090 hardware, we found a 3.2x difference in time-to-first-inference for vision tasks, and a 41% gap in memory overhead for NLP pipelines.

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