Machine Learning

Integrate JAX with Your Data Stack

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.

Why is JAX better on Shakudo?

Why is JAX better on Shakudo?

Why Shakudo?

Stress-Free infrastructure

Simplify cloud implementation with Shakudo's seamless deployment on your existing provider or our managed infrastructure solution with industry best practices.

Integrate with everything

Empower your team with the tools they know and love with seamless integration to popular frameworks and tools.

Streamlined Workflow

Streamline production pushes – no DevOps skills needed. Build and launch solutions on the data team-friendly platform with ease.

Use data and AI products inside your infrastructure

Chat with one of our experts to answer your questions about your data stack, data tools you need, and deploying Shakudo on your cloud.
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