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wire 2026-05-21
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JAX SHIPS MATRIX ALGEBRA TOOLKIT, PALLAS CACHE CUTS COMPILE TIME

By RepoJournal · Filed · About Google · Composed from the cited sources · methodology

copybara-service[bot] nidhiii-27 chalmerlowe tswast shuoweil
5 people shipped this
copybara-service[bot] @copybara-service[bot] 1 cited nidhiii-27 @nidhiii-27 1 cited chalmerlowe @chalmerlowe 1 cited tswast @tswast 1 cited shuoweil @shuoweil 1 cited

JAX v0.10.1 lands four new linear algebra functions and performance optimizations that reshape how numerical code compiles, while the Genai client adds Gemini 3.5 Flash support.

JAX v0.10.1 [1] is out with a full linear algebra refresh. You now have `hadamard`, `circulant`, `dft`, and `leslie` matrix constructors in `jax.scipy.linalg`, plus TensorFlow-compatible AREA resizing in image operations. This isn't cosmetic. If you're building scientific computing stacks, you just deleted boilerplate. The real performance story is upstream: Pallas lowering now caches MLIR compilation [2], meaning repeated kernel patterns skip Python work and reuse inlined function definitions. For teams running heavy numerical workloads, compile-time wins stack up fast. Meanwhile, the python-genai client shipped v2.5.0 [3] with Gemini 3.5 Flash model support, plus new status fields for budget tracking [4]. Across google-cloud-python, the storage SDK now supports Object Contexts metadata [5], BigQuery dropped Python 3.7-3.9 support [6], and BigFrames added AEAD scalar functions [7]. That Python 3.10 floor matters if you're on older runtimes. A rendering fix for nested JSON structures in DataFrames [8] unblocks anyone hitting visualization crashes with complex data.

Action items

References

  1. [1] JAX v0.10.1 ↗ google/jax
  2. [2] Add a cache around Pallas MLIR lowering. google/jax ↗
  3. [3] v2.5.0 ↗ googleapis/python-genai
  4. [4] feat: Add budget_exceeded status ↗ googleapis/python-genai
  5. [5] feat(storage): add object contexts in Python GCS SDK ↗ googleapis/google-cloud-python
  6. [6] feat(bigquery): drop Python 3.7-3.9 support and regenerate ↗ googleapis/google-cloud-python
  7. [7] feat: add `bigframes.bigquery.aead.*` scalar functions ↗ googleapis/google-cloud-python
  8. [8] fix: cast JSON and nested struct columns to string for anywidget rendering ↗ googleapis/google-cloud-python

$ ls google/reviews/ # the step-back reads

the week in review JAX drops legacy IFRT device APIs, google-auth adds 3.15 the month in review JAX free-threading push reshapes 0.11.2 and 0.12 cleanup
Full archive → Weekly reviews →

Quick answers

What shipped in Google on May 21, 2026?
JAX v0.10.1 lands four new linear algebra functions and performance optimizations that reshape how numerical code compiles, while the Genai client adds Gemini 3.5 Flash support. In total, 34 commits, 35 pull requests, and 2 releases landed.
Who contributed to Google on May 21, 2026?
5 developers shipped this update, including copybara-service[bot], nidhiii-27, chalmerlowe, tswast, and shuoweil.
What were the notable Google updates?
JAX v0.10.1, Add a cache around Pallas MLIR lowering, and v2.5.0.
♥

$ log Google --recent

JAX pins OpenXLA revision, disables overlap_test against older libtpu 5 shipped JAX adds type-2 and type-3 Hermitian eigensolves, lexsort batching cuts unique compile time 69 shipped JAX hijax flags read at call time, Spanner stops deleting multiplexed sessions 112 shipped Vertex AI client timeout fix, Compute v1 API regenerated 87 shipped

$ log --all # elsewhere on the wire

@vuejs Vue language tools stop calling registerHooks on buggy Node builds @openclaw OpenClaw's deslop sweep removes 1,000+ production lines

$ ls showcases/

Rails Django Laravel Node.js Go Vercel Vue.js Kubernetes HashiCorp Arch Linux Linux Anthropic

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