DOCS . JAX . DEV {}

Matching Content Categories {📚}

• Technology & Computing
• Graphic Design
• Education

Content Management System {📝}

What CMS is docs.jax.dev built with?

Custom-built

No common CMS systems were detected on Docs.jax.dev, but we identified it was custom coded using Bootstrap (CSS).

Traffic Estimate {📈}

What is the average monthly size of docs.jax.dev audience?

🚀 Good Traffic: 50k - 100k visitors per month


Based on our best estimate, this website will receive around 50,019 visitors per month in the current month.
However, some sources were not loaded, we suggest to reload the page to get complete results.

check SE Ranking
check Ahrefs
check Similarweb
check Ubersuggest
check Semrush

How Does Docs.jax.dev Make Money? {💸}

We don't see any clear sign of profit-making.

Many websites are intended to earn money, but some serve to share ideas or build connections. Websites exist for all kinds of purposes. This might be one of them. Docs.jax.dev could be getting rich in stealth mode, or the way it's monetizing isn't detectable.

Keywords {🔍}

pallas, jax, kernels, triton, kernel, primitives, gpu, pallascall, users, grid, memory, programming, def, lower, oref, mosaic, refs, transformations, xref, tpu, programs, writing, ref, xla, array, lowering, design, function, model, yref, outputs, inspecs, language, operations, set, compiler, jnparange, indexing, indices, blockshape, blockspecs, hlo, code, writes, frontend, program, note, pallasload, axis, outspecs,

Topics {✒️}

jax/xla debugging tools performance hit due initial pallas design tile-based programming model transform user-written kernels array-based programming model logical hlo computation numpy-style array programming compiling user programs compilation exporting high-level hlo programs high level operations higher order function run ahead write hand-tuned kernels jax front-end flexible front-end flexible front end involving potentially learning hand-tuned kernels pallas atomic primitives represent stateful computations l1-cache optional[tuple[int tuple[optional[int] higher-order functions tracing-based transformations experimental import pallas simple neural network multi-headed attention tracing-based frontend achieve complex functionality simple dot products row-major position express simple programs pallas-specific concept atomic operations outer jax programs extra pallas primitives array programming language higher-level representation accessible programming model express pallas kernels largest ml models ml systems research front-end array element type custom_vmap customization mechanism functional error handling jax dot products

Questions {❓}

• A natural question is how do JAX transformations interact with Pallas kernels?
• JAX with Refs and the extra Pallas primitives), how do we execute them on a GPU or TPU?
• The open question is: is JAX a good fit for a kernel language at all?

External Links {🔗}(2)

• How much does https://github.com/jax-ml/jax gross monthly?
• Discover the revenue of https://triton-lang.org/main/index.html

Libraries {📚}

• Bootstrap
• Clipboard.js
• Typed.js

Emails and Hosting {✉️}

Mail Servers:

• aspmx.l.google.com
• alt1.aspmx.l.google.com
• alt2.aspmx.l.google.com
• aspmx2.googlemail.com
• aspmx3.googlemail.com

Name Servers:

• ivan.ns.cloudflare.com
• tegan.ns.cloudflare.com