triton
mojo.js
| triton | mojo.js | |
|---|---|---|
| 30 | 15 | |
| 11,054 | 475 | |
| 4.3% | 1.3% | |
| 9.9 | 7.9 | |
| 3 days ago | 9 days ago | |
| C++ | JavaScript | |
| MIT License | MIT License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
triton
- OpenAI Triton: language and compiler for highly efficient Deep-Learning
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Show HN: Ollama for Linux – Run LLMs on Linux with GPU Acceleration
There's a ton of cool opportunity in the runtime layer. I've been keeping my eye on the compiler-based approaches. From what I've gathered many of the larger "production" inference tools use compilers:
- https://github.com/openai/triton
- Core Functionality for AMD #1983
- Project name easily confused with Nvidia triton
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Nvidia's CUDA Monopoly
Does anyone have more inside knowledge from OpenAI or AMD on AMDGPU support for Triton?
I see this:
https://github.com/openai/triton/issues/1073
But it's not clear to me if we will see AMD GPUs as first class citizens for pytorch in the future?
- @soumithchintala (Cofounded and lead @PyTorch at Meta) on Twitter: I'm fairly puzzled by $NVDA skyrocketing... (cont.)
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The tiny corp raised $5.1M
I thought this was a good overview of the idea Triton can circumvent the CUDA moat: https://www.semianalysis.com/p/nvidiaopenaitritonpytorch
It also looks like they added MLIR backend to Triton though I wonder if Mojo has advantages since it was built on MLIR? https://github.com/openai/triton/pull/1004
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Anyone hosting a local LLM server
I'm pretty happy with the setup, because it allows me to keep all the AI stuff and its dozens of conda envs and repos etc. seperate from my normal setup and "portable". It may have some performance impact (although I don't personally notice any significant difference to running it "natively" on windows), and it may enable some extra functionality, such as access to OpenAi's Triton etc., but that's currently neither here nor there.
- Triton: Runtime for highly efficient custom Deep-Learning primitives
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Mojo – a new programming language for all AI developers
Very cool development. There is too much busy work going from development to test to production. This will help to unify everything. OpenAI Triton https://github.com/openai/triton/ is going for a similar goal. But this is a more fundamental approach.
mojo.js
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Nue: A React/Vue/Vite/Astro Alternative
Have you looked at https://mobx-keystone.js.org/ by any chance?
I've been quite enjoying keystone + lit (or react if required) of late and at the very least it feels like solid prior art towards MVC stuff.
Also https://mojojs.org/ for server side.
(I'm not saying "use these" even if I quite enjoy using them myself, but they're my reference points for comparison here)
- Mojo – a new programming language for all AI developers
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Does node have a Rails-like framework? (that has isn't dead)
Mojo.js
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Choose boring tools
A final interesting note is that the Mojolicious developer has also recently(-ish) created Mojo.js, which is Mojolicious implemented in Typescript.
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What's your go-to web framework for new web APIs?
mojo.js, it's a very old school web framework.
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Mojo.js is a port of Perl's Mojolicious to TypeScript
Express middleware support is on the planned feature list for 2.0 and beyond. Could also be implemented as a 3rd party plugin using the existing hook API though. https://github.com/mojolicious/mojo.js/issues/66
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Perl on Rails (2007)
Just in case you missed it, Mojolicious is also available for TypeScript now, and the developer experience is pretty close to the Perl original. ;) https://mojojs.org
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[AskJS] Is MVC "dead"?
Aside from NestJS there is also mojo.js still innovating on the old MVC formula with TypeScript.
- Ask HN: Getting tired of complexity in web development
What are some alternatives?
cuda-python - CUDA Python Low-level Bindings
wshook - Easily intercept and modify WebSocket requests and message events.
Halide - a language for fast, portable data-parallel computation
jsynchronous - Jsynchronous.js - Data synchronization for games and real-time web apps.
GPU-Puzzles - Solve puzzles. Learn CUDA.
hono - Web Framework built on Web Standards
dfdx - Deep learning in Rust, with shape checked tensors and neural networks
nue - The Content First Web Framework
web-llm - Bringing large-language models and chat to web browsers. Everything runs inside the browser with no server support.
primate - Polymorphic development platform
cutlass - CUDA Templates for Linear Algebra Subroutines
htmlparser2 - The fast & forgiving HTML and XML parser