JAX is a rapidly growing Python library for high-performance numerical computing and machine learning research. With applications in drug discovery, physics ML, reinforcement learning and neural graphics, JAX has seen incredible adoption in the past few years. This blog describes how to run JAX on OCI GPU clusters.
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Some integration examples
