Join us for an intensive, hands-on learning event focused on JAX, the open-source numerical computing library developed by Google. Used to train some of the world's most advanced AI models (including Gemini), JAX combines the absolute familiarity of NumPy with the groundbreaking power of hardware acceleration and composable transformations.
Whether you are a data scientist looking for significant performance speedups or an ML researcher pushing the boundaries of deep learning, this event will give you the practical skills needed to maximally leverage accelerated hardware.
