llm-d
llm-d
llm-d is a Kubernetes-native high-performance distributed LLM inference framework
United States of America
Amos Wenger
fasterthanlime
hi, I'm amos! 🐿️ co-host of self-directed research podcast 🫐 teacher, video maker, software mercenary ✨ be kind, be curious
@bearcove Lyon, France
Jon Gjengset
jonhoo
Rust educational streamer. At @helsing-ai. Previously at AWS. A fan of making things secure, fast, scalable, and well-documented.
@helsing-ai Oslo, Norway
Bob Nystrom
munificent
Programming language developer, ex-game developer, UI nerd, author of "Game Programming Patterns" and "Crafting Interpreters".
@google, on @dart-lang Seattle, WA
Gabe
jtie1
Frontend Software Developer.
Knowledge in C/C++, C#, Java, JavaScript/Typescript, Rust.
Leland Moy
AdeptOfficial
There's always something harder than what you're currently doing, so what's the point of being scared now?
Luka Djogo
lukaDjogo
I want to improve the world through giving people new ways of thinking about frameworks of problems.
Chicago
Luka Djogo
ldjogo2
INTERESTS: Cloud Computing, Algorithms, Applied Math, AI, Economics, Scientific Computation
GOAL: Working everyday on a topic that genuinely interests me
Julian Alvarez
julianjear
Co-Founder & CEO at Jungle 🦍
Inventing the future one line of code at a time 🚀
@MindflowGG San Francisco, CA
Rohith Rajan
Rohith-Rajan
I'm a focused and driven individual looking to work on impactful projects and expand my skill set. Feel free to connect with me on LinkedIn!
Chicago, IL
James H Rainbolt
jrainbolt
Computer Science student at University of Illinois at Chicago
Chicago, IL
Luís Pina
luisggpina
I'm an Assistant Professor of Computer Science at the University of Illinois Chicago
University of Illinois at Chicago (UIC) Chicago
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