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What is JAX, and How to Deploy It in an Enterprise Data Stack?

Last updated on
April 10, 2025
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JAX

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What is JAX?

Jax is a high-performance Python package, built to accelerate machine learning research. JAX provides a lightweight API for array-based computing - much like NumPy. It adds a set of composable function transformations, including automatic differentiation, just-in-time (JIT) compilation, and automated vectorization and parallelization of your code.

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Read more about JAX

Comparing the Best Open-Source Large Language Models

A Quick Introduction to JAX

Why is JAX better on Shakudo?

Why is JAX better on Shakudo?

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