I just posted my 10,000th reply in the @PyTorch discuss forum! Thanks everyone for creating such a great community, for the guidance and mentorship I received, and @soumithchintala for starting this journey.

🗓️ TUESDAY @ Booth #338 12PM: Wheel Next w/ @_seemethere 1PM: OpenEnv w/ Ali Sol & @mr_purelycloud 2PM: Core Maintainer Office Hours w/ @albanD @malfet @joespeez @ptrblck_de 3PM: Titan & Forge w/ @syedahmedz, Davide Italiano, Kai Wu 4PM: Ambassador Program w/ @matthew_d_white 5PM: vLLM Inference w/ @woosuk_k

Update from the PyTorch maintainers: 2.7 is out now. 🔹 Support for NVIDIA Blackwell (CUDA 12.8) 🔹 Mega Cache 🔹 torch.compile for Function Modes 🔹 FlexAttention updates 🔹 Intel GPU perf boost 🔗 Blog: hubs.la/Q03jBPSL0 📄 Release notes: hubs.la/Q03jBPlW0 #PyTorch #OpenSourceAI

Our banger hackathon this Sunday Over 100 B200 / GB200 to hack on Participants from every lab Prizes of Blackwell GPUs more Speakers - Phil Tillet OpenAI, Horace He Thinking Machines, Tri Dao Together, Vijay Nvidia, and Mark GPUMode/PT 30 spots left Apply NOW Link in next tweet

popular computer vision package ultralytics (home of yolov8 and yolo11) was compromised. a crypto miner was injected into versions 8.3.41 and 8.3.42. link: github.com/ultralytics/ultra…

NetworkX from NVIDIA is one THE most popular Python graph analytics library with ~15K Github starts and 80M downloads monthly. This library is for working with networks and graphs. It helps analyze connections between things - like social networks, computer networks, or any system where objects are connected to each other. And now NetworkX just got massively accelerated after its backend integration with NVIDIA's cuGraph. ✨ Up to 500x speedups on large graph workloads in NetworkX with zero code changes. And it is Zero Code Change Acceleration. 📌 cuGraph is NVIDIA's GPU-accelerated graph analytics library within the RAPIDS ecosystem. The library provides fast graph algorithms on GPUs, supporting property graphs, remote operations, and graph neural networks (GNNs). Works with GPU DataFrames (cuDF) and integrates smoothly with NetworkX-like API. -------- 📌 The traditional bottleneck of NetworkX's pure Python implementation becomes apparent when processing graphs larger than 100K nodes and 1M edges. 📌 And so now cuGraph solves this by offloading supported algorithms to the GPU. PageRank, Louvain community detection, betweenness centrality, and about 60 other algorithms get instant acceleration. 📌 This acceleration enables previously impractical use cases. Fraud detection systems can now process massive transaction networks in real-time. Recommendation engines handle millions of user-item interactions efficiently. Social network analysis scales to entire platforms worth of data on a single machine. @NVIDIAAIDev

What a great recognition from @PyTorch. 🎉🏆 🎊Congrats to all winners - with an extra congrats to our very own Eddie Yan from #NVIDIA!🙌 #PyTorchConf

For those at #PyTorchConf - if you missed our meetup earlier this week, stop by our lounge on the 2nd floor. We have 40 technical experts that can answer any questions. nvda.ws/3Xz2CHQ We hope to see you there. 🙌

📣 CUDA MODE goes live IRL! Join us in San Francisco on Sept. 21 for the #Hackathon event. 🎉 Make friends, enjoy keynotes from #CUDA experts, then hack all day and night! ➡️ Apply for a spot now: nvda.ws/3AcLAHB

Excited to share a blog series I've been working on, diving deep into CUDA programming! Inspired by the #PMPP book & #CUDA_MODE!! Check out the links below...

Are YOU ready?! @ptrblck_de of @NVIDIA is taking the stage at #PyTorchConf 2024! Explore the list of keynote speakers: hubs.la/Q02NfCYY0. Register & join us September 18-19 in San Francisco! hubs.la/Q02NfyxM0

This September, we’re hosting a CUDA MODE hackathon alongside our friends at @nvidia and @PyTorch. Join us in San Francisco to spend the day hacking on new projects and hear from some of the most well-respected ML leaders at @Meta/@PyTorch, @EurekaLabsAI, @vllm_project, @togethercompute, @nvidia, and more. ⬇️

🌟We are honored that our own Piotr Bialecki (@ptrblck_de) has been designated a #PyTorch Superhero Contributor, and now a Core Maintainer, where he will continue to help build the long-term vision for PyTorch, champion #OSS, and be a key member of the governing body and community. ➡️ nvda.ws/4d9eAhG 🎉Congrats Piotr!

You can just do stuff youtube.com/clip/UgkxIHVMDuQ…

Thunder is the number 5 trending repo on Github! 🤯🤯 Thunder speeds up PyTorch models up to 40% (it's early still 😅😅). Contribute and support it so we can make PyTorch models even faster! github.com/Lightning-AI/ligh…

"State of PyTorch [S62768]" session starting in a few mins at #GTC24! nvidia.com/gtc/session-catal…

Join our growing team at @nvidia! We're hiring interns in Helsinki and Tokyo to contribute to a PyTorch compiler project. Apply through the links below, and feel free to ask for details in the comments or via DM 🇫🇮Helsinki: nvidia.wd5.myworkdayjobs.com… 🇯🇵Tokyo: nvidia.wd5.myworkdayjobs.com…