David Cardozo 🇨🇦 @_davidcardozo
Google Developer Expert in AI/ML in JAX/FLAX | Docker Captain | Machine Learning Scientist in Quebec davidcardozo.com 🇨🇦🇫🇷 Joined May 2010-
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David Cardozo 🇨🇦 retweeted
Feeling so happy that we got accepted to #NeurIPS2025 😭 This was a genuinely fulfilling piece of work, and a lot of knobs needed tinkering with. Check out the thread below for more details!
Feeling so happy that we got accepted to #NeurIPS2025 😭 This was a genuinely fulfilling piece of work, and a lot of knobs needed tinkering with. Check out the thread below for more details!
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David Cardozo 🇨🇦 retweeted
Today, we're shipping native support for context-parallelism to help make diffusion inference go brrr on multiple GPUs 🚀 Our CP API is made to work with two flavors of distributed attention: Ring & Ulysses. Huge thanks to @aryanvs_ for shipping this! Deets ⬇️
David Cardozo 🇨🇦 retweeted
the cuda kernel in question
the cuda kernel in question https://t.co/1UQ4RrHQb6
David Cardozo 🇨🇦 retweeted
This is the release I was waiting for :)
This is the release I was waiting for :)
David Cardozo 🇨🇦 retweeted
Took me 4 days to read this blog, but totally worth it. A great detailed guide to post training. Why aren't many people talking about it. Kudos to @Han_Fang_ @karthikabinav for sharing their thoughts. tokens-for-thoughts.notion.site/post-training-…
David Cardozo 🇨🇦 retweeted
The 🐐 himself just dropped the truth bomb!
David Cardozo 🇨🇦 retweeted
when will AI engineers have an original idea
David Cardozo 🇨🇦 retweeted
@thanosthinking sf is a waterloo wrapper
David Cardozo 🇨🇦 retweeted
Fun tensor-puzzle in the wild in the recent anthropic blog post. Can anyone do it in 1 line? anthropic.com/engineering/a-…
Starting to see a lot of kernels called cutlass* Why Nvidia?
Starting to see a lot of kernels called cutlass* Why Nvidia?
David Cardozo 🇨🇦 retweeted
Someone has finally published nuances of how NCCL algorithms and protocols work. Thank you so much to the authors since documentation is so scarce! arxiv.org/abs/2507.04786
David Cardozo 🇨🇦 retweeted
I spent the past few months building JAXformer: One of the first open source guides on how to scale modern transformers in JAX. Trained entirely on TPUs, it supports distributed ML, Ray tokenization, MoE, n-D parallelism and end-to-end inference. Here’s how to do it:
David Cardozo 🇨🇦 retweeted
Poco, using Framework H is good friends with Kutu, who uses Framework X. Kutu prefers Framework X as it apparently delivers better speedups than H when Framework X code is written in a proper manner. But Kutu has never ever demonstrated it IRL. Just buzzword keywords. Poco, on…
David Cardozo 🇨🇦 retweeted
new in CUDA 13 time to update the GPU Glossary again
David Cardozo 🇨🇦 retweeted
Without further ado, The Parallelism Mesh Zoo
I gues that maybe we still do not know if the data manifold hypothesis is true?
I gues that maybe we still do not know if the data manifold hypothesis is true?
David Cardozo 🇨🇦 retweeted
MatchAnything is an insane framework authors have tried to get every view that they can and dump them to modern keypoint matching models for instance you can match iphone map view to google aerial view, thermal camera views to day view even if the images are warped!
David Cardozo 🇨🇦 retweeted
don’t sit there and tell me you’ve suffered, you’ve never had to write a triton kernel in jinja2
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