Keras Backend-Agnosticism Helps Expedia Avoid TF Lock-in
fchollet · x · 2026-08-12
Discussing performance optimization for serving large-scale recommendation systems, Keras creator François Chollet noted that Keras's backend-agnostic nature (e.g., keras.ops) offers massive flexibility. In Expedia's case, their codebase is no longer locked exclusively into TensorFlow. If they need to switch to PyTorch or JAX for highly optimized kernels in the future, their underlying models can run as-is, significantly reducing migration costs.
Related event: Expedia Migrates to Keras 3: Inference Latency Drops by 70%(3 posts)→
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