Google TPU v5p beats Nvidia H100

• mojo.vim

  3 23 4.5 Vim Script

  Vim Syntax Highlighting for the Mojo programming language

hmm the creator says (from his podcast with Lex Friedman when I listened to him) that they are open sourcing it, but that it is a project borne out of their private effort at their company and that it is still being used privately - so the aim is open sourcing it while taking community input and updating their private code to reflect the evolving design so that when they release it their internal lang and the open sourced lang will not diverge.

of course not ideal, but better than "open sourcing" it and refusing every request because it does not work for their codebase. worse than having it open source from the get go, of course.

assuming that day comes, does it have a competitor in the works? a python superset, compatible with python libs, but enables you to directly program GPUs and TPUs without CUDA or anything?

"never" means you believe it will never be open sourced, or a competitor will surpass it by the time it is open sourced. or that you believe the premise of the lang is flawed and we don't need such a thing. Which one is it?

Here is their github btw: https://github.com/modularml/mojo

From what I see, they have a pretty active community and there is demand for such a system.

The github says something similar:

>This repo is the beginning of our Mojo open source effort. We've started with Mojo code examples and documentation, and we'll add the Mojo standard library as soon as we get the necessary infrastructure in place. The challenge is that we use Mojo pervasively inside Modular and we need to make sure that community contributions can proceed smoothly with good build and testing tools that will allow this repo to become the source of truth (right now it is not). We'll progressively add the necessary components, such as continuous integration, build tools, and more source code over time.

• xla

  8 2,291 9.9 C++

  Enabling PyTorch on XLA Devices (e.g. Google TPU)

  

PyTorch has had an XLA backend for years. I don't know how performant it is though. https://pytorch.org/xla

• WorkOS

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