#pytorchcon — Public Fediverse posts

Honored to serve as a Program Committee Member for KubeCon + CloudNativeCon + OpenInfra Summit + PyTorch Conference China 2026!🇨🇳

Thank you to the co-chairs for the opportunity to help shape the future of open source, cloud native, and AI by reviewing and selecting this year's top talks. 🚀

Check out my verified badge from @linuxfoundation: https://www.credly.com/badges/b4768edb-871e-4bfe-9ee2-66878c085d0c/public_url

#KubeCon #CloudNativeCon #OpenInfraSummit #PyTorchCon

Couple days in #Paris for #PyTorchCon. Mainly shuffling between hotel and conference venue. Caught this on the way back to hotel last night, probably the only reminder of which city I was in.

#SeineRiver #sunset

Excellent day at PyTorch Conference Europe, where Marcus Edel and Vineet Suryan presented "Bringing BitNet to ExecuTorch via Vulkan"! If you are attending and would like to meet, send us a DM!

#PyTorchCon #PyTorch #OpenSource #MachineLearning #Vulkan

Day 1 of PyTorch Conference Europe is just getting started! We're excited to dive into the latest developments in machine learning and connect with the AI community.

Be sure to stick around for the Poster Presentations at 17:05 CEST: Marcus Edel and Vineet Suryan will be sharing "Bringing BitNet to ExecuTorch via Vulkan".

@pytorch #PyTorchCon #MachineLearning #OpenSource

Got a portable monitor for the upcoming #PyTorchCon Europe. Easy connection with Thinkpad X1C, MacBook pro, pixel 9, ipad mini etc. with one cable. Multiple backup options if something fails! Although ipad will be last option unless I can calibrate it. #DPaltMode

Collabora presents "Bringing BitNet to ExecuTorch via Vulkan" at PyTorch Conference Europe in Paris (April 7-8) and attends ICLR in Rio de Janeiro (April 23-27). Connect with our team to discuss machine learning and open source innovation!

https://www.collabora.com/news-and-blog/news-and-events/springing-into-ai-pytorch-conference-europe-and-iclr-2026.html

@pytorch #PyTorchCon #PyTorch2026 #PyTorch #PyTorchFoundation #MachineLearning #DeepLearning #ICLR2026

Inspired by a talk I had with @BajoranEngineer at #PyTorchCon, I've jotted down some thoughts about #Python as a scripting engine for apps.

https://phildini.dev/python-in-every-app

Shares appreciated! Commentary welcome, but if you're a jerk I'll block you 😇

@freakboy3742 @glyph @brettcannon this is why I was asking about built python ✨

Also included: a thought on how @conda monetizes this 😅

Triton Developer Conference 2025 Talks
https://www.youtube.com/watch?v=s30WoZ7lx3w
#PyTorchCon @pytorch

PyTorch Compiler is a control point for all of these. Compiler can apply LLM-specific and CUDA-specific optimizations to code.

#PyTorchCon

Moving from Training to Inference, we have Peng Wu from Meta.

The trends here match the trends in training! Heterogeneous hardware, dsitributed inference, concern over numerics and determinism -- all on the rise!

Also seeing deep consolidation in LLM serving platforms.

#PyTorchCon

The PyTorch team is also trying to solve specific problems! Like: numerics-sensitive models that make compilers sussy.

The solution here is region-based inductors with in-code annotations.

#PyTorchCon

What does the modern stack look like for post-training RL?

Training, Inference, and Rollouts all happen under one roof, all with their own orchestration needs.

One solution to all this: Monarch (from Meta?)

#PyTorchCon

It's been a wild year! DeepSeek R1 was this past January, proving out the value of mixture of experts, reinforcement learning, and the shift from pre-training to post-training inference.

We also saw a huge rise in coding agents, multimodal deployment, and AI at the edge.

#PyTorchCon

Now: trends in PyTorch for Training with Edward Yang from Meta.

#PyTorchCon

What's coolest is that there's over 1000 contributors to the codebase over the past 12 months!

The follow on effect is that 400k projects were added to github over the past twelve months that use PyTorch

#PyTorchCon

PyTorch has a dominant position with AI researchers. 16k papers published in the past year using PyTorch.

Community involvement also remains high! 90k stars / 25k forks on github. This leads to 14k commits made to PyTorch core over the past year

#PyTorchCon

Next Keynote speaker! Alban Desmaison (and others!) for a #PyTorch Technical Deep Dive.

This is the PyTorch Core Maintainers talk ✨

#PyTorchCon

ROCm is a full-stack approach for open development in machine learning and LLMs.

Three pillars:
- Ci/CD for streamlined dev
- OSS projects for first-class support
- one-click deploy of jupyter noteboooks to AMD GPUs

#PyTorchCon

Next speaker: Anush Elangovan from AMD talking about Empowering Developers with AMD ROCm™ Everywhere.

#PyTorchCon

Lots of free lunches still exist for efficiency! Being more hardware-aware will produce better results soon.

#PyTorchCon

Wrapping up, we need more hardware-efficient AI training.

"Hardware should be part of the constraint of algorithm design"

The true bottleneck right now is memory. Memory is a bigger bottleneck than compute.

#PyTorchCon

Neural networks need to be able to understand mathematical reasoning -- LEAN / LeanDojo are critical steps in this path.

This team took LEAN and built an LLM out of it, they're hoping to Open Source soon

#PyTorchCon

Beyond modeling phenomena, these neural operators are able to do hardware designed at the quantum gate level.

(I absolutely do not know enough about the science here, but it looks cool!)

#PyTorchCon

They've completed a weather forecasting model that is 45,000 times faster than current models (not sure how measured).

The model is Apache-licensed #PyTorch code.

#PyTorchCon

NeuralOperator is the group this work is based on, check them out on github. There will also be a poster at #PyTorchCon

Now on to success stories.

Both things can be true 🤷👀

1. CNBC: Meta lays off 600 employees within AI unit https://www.cnbc.com/amp/2025/10/22/meta-layoffs-ai.html

2. Meta’s booth at #PyTorchCon - we’re hiring

The team has developed Physics-Informed Neural Operators (PINO).

Can more accurately predict phenomena like fluid dynamics (very cool demo that's hard to capture in text)

#PyTorchCon

We need new neural operators that can handle physical, mathematical domains better.

Using lower-res translations and models considered harmful! Think: Hurricanes

#PyTorchCon TorchCon

Mathematical equations govern the world at all scales, and there's a need for physical understanding, which is outside the language-based domain of modern LLMs

#PyTorchCon

Next #PyTorchCon keynote is "Foundations for AI + Science" from Anima Anandkumar.