WKWesley Kambaleinkambale.dev·Feb 2 · 10 min readWhy JAX? The NumPy You Know, But FasterIf you've been doing machine learning in Python for any length of time, you've written code like this: import numpy as np x = np.random.randn(1000, 1000) y = np.random.randn(1000, 1000) result = np.d00
GGitHubOpenSourceingithub-open-source.hashnode.dev·Dec 27, 2025 · 3 min readGoMLX: Accelerating Machine Learning with Go, GPUs, and TPUs📝 Quick Summary: GoMLX is an accelerated machine learning and generic math framework for Go, designed to be a PyTorch/Jax/TensorFlow equivalent for the Go ecosystem. It supports a pure Go backend for broad compatibility and an optimized backend usin...00
SGSteven Godsoninnevetsnosdog.hashnode.dev·Aug 11, 2023 · 4 min readInside an XLAGreetings! This week we will be diving deeper into what an XLA (eXperience Level Agreement) should be and look at some examples. If you are not familiar with XLAs then my previous article XLAs - avoiding watermelons give a useful introduction. An XLA...00
SGSteven Godsoninnevetsnosdog.hashnode.dev·Jul 6, 2023 · 3 min readXLAs - Avoiding Watermelons...Greetings! This week's article is dedicated to is XLAs (eXperience Level Agreements) and will answer: What are they? Should you care? How can they be used? What is an XLA? A couple of quotes to start us off… XLA is a powerful new addition to the t...00
