eli @_seemethere
just me, ci / release for @pytorch; former docker; all my tweets are my own terriblecode.com California, USA Joined April 2009-
Tweets3K
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Me using cursor with max mode to write the shittiest code you've ever seen in your life. (but hey at least it works, and has emojis)
Disaggregated Inference at Scale with #PyTorch & #vLLM: Meta’s vLLM disagg implementation improves inference efficiency in latency & throughput vs its internal stack, with optimizations now being upstreamed to the vLLM community. 🔗 hubs.la/Q03J87tS0
I hate that my love of docker swarm redpilled me all of these years into hating kubernetes. So much lost time.
I spent years learning best practices for making docker images smaller only to be thwarted by cudatoolkit and PyTorch install layers.
Oh hey that’s me!
Super fun event! Had a blast talking with @charliermarsh @ralfgommers and Jonathan!
Super fun event! Had a blast talking with @charliermarsh @ralfgommers and Jonathan!
Super excited about the future of PyTorch packaging!
#PyTorch 2.8’s experimental wheel variant #packaging aims to make installs on any accelerator as simple as pip install torch. Learn more in our blog and register for tomorrow’s Live Q&A on PyTorch packaging. 🖇️ hubs.la/Q03CBxBg0 🔗 hubs.la/Q03CBxwj0
Hey that’s me!
Update from #PyTorch maintainers: 2.8 is out now. 🔹A limited stable libtorch ABI for third-party C++/CUDA extensions 🔹 High-performance quantized LLM inference on Intel CPUs with native PyTorch & more! 📄 Release notes: hubs.la/Q03BDn_40 🔗 Blog: hubs.la/Q03BDmT50
The change in the dandadan intro song for season 2 is disappointing.
reducing PyTorch lint from 25 minutes to 5 minutes github.com/pytorch/pytorc…
Trailing whitespace is such an indicator of when a PR is AI generated
Astral tooling is one of the best things to happen to the Python ecosystem.
vLLM has just reached 50K github stars! Huge thanks to the community!🚀 Together let's bring easy, fast, and cheap LLM serving for everyone✌🏻
I’ve been wilting so much Rust lately and the cargo tooling has been such a treat. I’m wishing we had the same type of unified tooling for Python now. It’s so much nicer when you don’t have to fight your own tools.

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