# JAX v0.9.2 — JAX v0.9.2 - Product: JAX (https://whatsnew.fyi/product/jax) - Vendor: Google - Date: 2026-03-18 - Version: v0.9.2 - Original notes: https://github.com/jax-ml/jax/releases/tag/jax-v0.9.2 - Permalink: https://whatsnew.fyi/product/jax/releases/v0.9.2 What's New is an index, not a publisher: every entry below links to the vendor's own release notes, which are the authoritative source. Entries are labelled where they are hand-curated sample data, pre-releases, or drawn from a secondary source such as a developer blog. Reuse: the summaries, labels and curation here are © What's New. Quote freely with attribution and a link back; wholesale republication of the corpus is not permitted — terms: https://whatsnew.fyi/terms. The vendors' own release notes remain their publishers'. --- - **changed** — The semi-private type jax._src.literals.TypedNdArray is now a subclass of np.ndarray, rather than a duck type of it - **changed** — jax.numpy.arange with step specified no longer generates the array on host, resulting in more efficient code but potentially less precise outputs for narrow-width floats like bfloat16 ##### JAX 0.9.2 (March 2, 2026) * Changes: * The semi-private type `jax._src.literals.TypedNdArray` is now a subclass of `np.ndarray`, rather than a duck type of it. * `jax.numpy.arange` with `step` specified no longer generates the array on host. The benefit is more efficient code, though this can lead to less precise outputs for narrow-width floats (e.g. bfloat16). To recover the previous behavior in this case, use `jnp.array(np.arange(...))`.