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Need to do more with less? Hear #tech experts explain how a hyper-converged infrastructure can help small & large Cos. Join us virtually on Tues, 8/30 to hear from @ScaleComputing's Jeff Ready & @totalprosource's Benny Russert & Ryan Fackey. RSVP: https://t.co/ZtakxudQfU #CIO https://t.co/9atZBCaywn
If you're in #VentureCapital looking for #dealflow, make connections where life-changing ideas are developed! Join us virtually 8/24 at 1PMET to hear @UMich's @kbsexton, @UofOklahoma John Hanak, & @uofcincy Geoffrey Pinski talk about #techtransfer. RSVP: https://t.co/gLXhDF2BF3. https://t.co/jWKRa4ff5P
๐๏ธThe 75th Washington AI Network podcast episode is OUT! @nvidia engineers @NaderLikeLadder and Carter Abdallah join @haddadmedia for a live conversation from PubKey DC on AI agents, open models, and the technologies rapidly reshaping how people live and work. ๐ง The two built https://t.co/Wk46y1nDoN before NVIDIA acquired the company in 2024. Now, theyโre helping shape the future of developer technology inside one of the worldโs most influential AI companies. What to expect from the episode: โช๏ธAI assistants managing calendars and paying parking tickets โช๏ธThe debate around open source and American AI leadership โช๏ธA glimpse into where AI is heading next Watch now on YouTube: https://t.co/vX7pXZDgDa
This infuriates me because if they just put the sensor below they could see my bottle https://t.co/FHXul8a9DY
Hosting @exolabs at NVIDIA and had to give them the full American experience ๐๐บ๐ธ๐ค https://t.co/GCpI7ML65s
I'm convinced that adding "Open-" to your company name instantly 10x's your odds of success. OpenAI OpenEvidence OpenTable OpenRouter OpenCode OpenDoor OpenGov OpenWeb OpenText OpenView OpenSea OpenStore OpenFX OpenSpace OpenArt OpenHands OpenPipe OpenNote https://t.co/LFIDhABhyx
How it started // how it's going @exolabs @NVIDIAAI https://t.co/DTzoEVpSFo
btw, we publish everything you need to build our Nemotron models including the recipes and pipelines directly. https://t.co/wxR2HxkikR
mythos will be bad ON PURPOSE on ai "frontier llm research" tasks, this is very very sad for the research community also the fact that this is un purpose not visible to the user is crazy https://t.co/n3p4niUKJ2
Meet Stable Audio 3.0, the open-weight model family built for artistic experimentation. This is our open invitation to experiment with generative audio. We believe the best innovations are still waiting to be built. The 4-1-1 on 3.0: ๐ฃ You own your outputs, and can distribute and commercialize them under the Stability AI Community License (up to $1 million in revenue). ๐ต New and improved capabilities include variable-length generation up to six minutes, and full song composition on portable devices, no GPU required. โ Trained on a fully licensed dataset. ๐จ You can customize the models on your own library with support for LoRa training, which weโve documented for the first time. More on the models ๐
Compare the Stable Audio 3.0 family, four new models designed for different use cases and deployment options: https://t.co/S6xoDB57MP
Start experimenting with Stable Audio 3.0: ๐ค Small + Medium โ @huggingface https://t.co/o0Atm9ot3G โก Large โ Stability AI API or self-host with an enterprise license https://t.co/5llmOeMbdq
DeepSpeed now supports the Muon Optimizer. Optimized specifically for internal 2D weights within neural networks, Muon is gaining traction for its significant memory savings and strong convergence metrics during LLM training. In our latest blog post, the DeepSpeed team shares a deep dive into their integration setup, implementation of hybrid optimizer strategies, and early benchmark results. @PKUWZP Read the full technical breakdown here ๐ https://t.co/t7JxOqkM6S
LLMs are revolutionizing the financial trading landscape by enabling sophisticated analysis of vast amounts of unstructured data to generate actionable trading insights. The Strategic Technology Analysis Center (STAC) has been developing benchmarks for the workloads key to the financial industry for over 15 years, and they have now developed the STAC-AI benchmark to help companies assess the inference pipeline. This blog leverages the NVIDIA TensorRT LLM inference framework for efficient model execution. These quantized models were run using TensorRT LLM PyTorch runtime for a familiar, native PyTorch development experience while maintaining peak performance. ๐ Read the full post: https://t.co/4oReDgEpzW #PyTorch #OpenSourceAI #AI #Innovation
At PyTorch Conference Europe, Ramine Roane (@roaner, @AMD) discussed how PyTorch evolved from making single-GPU programming easy to becoming a production tool for distributed training and inference, and the role of the open ecosystem in supporting the next stage of AI development. In this clip, he highlights the scale of today's open models, citing examples ranging from hundreds of billions to more than a trillion parameters. ๐ Watch the full keynote: https://t.co/brFzozSFpr #PyTorchCon
OpenMDW-1.1 is now available โ and @NVIDIAAI is adopting it across Cosmos, Isaac GR00T, Ising, and Nemotron model families. A permissive, unified legal framework purpose-built for AI models. Learn more at https://t.co/IT2NSDVLo3 https://t.co/xBdpZIZUXb
Two weeks left to nominate yourself or someone else as a PyTorch Foundation Ambassador๐ฅ The PyTorch Foundation Ambassador Program supports community leaders who organize events, create technical content, mentor contributors, and support regional PyTorch communities worldwide. As we continue to expand representation across local PyTorch communities, we especially welcome applications from contributors in Africa, Latin America, the Middle East, Oceania, Southeast Asia, and Eastern Europe. Ambassadors will receive recognition through PyTorch Foundation channels, exclusive resources, support for community engagement, and professional growth. Learn more and apply here before June 18, 2026: https://t.co/bwh8g8sf05:
Almost out of time! ๐จ The #CallForProposals for #PyTorchCon North America (Oct 20-21 | San Jose) closes tomorrow, June 7 at 11:59 PM PDT. Submit your session, BoF, or lightning talk now! CFP: https://t.co/hLlKK7WxLD https://t.co/GcMZ463miS
FINAL CALL! ๐ข The #PyTorchCon North America #CallForProposals closes TONIGHT at 11:59 PM PDT. Share your #AI expertise in San Jose this October 20-21! Apply now: https://t.co/hLlKK7WxLD https://t.co/QrGMFjM9Rf
On Monday, June 15, PyTorch Foundation project Helion is hosting a Helion DSL Tutorial at PLDI 2026 (47th ACM SIGPLAN Conference on Programming Language Design and Implementation) in Boulder, CO. Helion is a Python-based kernel DSL that supports multiple backends across NVIDIA, AMD, Google TPU, and Intel. This workshop is a fantastic opportunity for compiler researchers, kernel authors, and ML systems engineers to dive deep into the technology. This will be an entirely interactive session where attendees will get to write, autotune, and run real Helion kernels live. @JongsokC
Build on-device AI with ExecuTorch on @Snapdragon . The ExecuTorch Hackathon brings developers to San Francisco on June 27โ28 to build and optimize real-time AI applications that run directly on Snapdragon-powered mobile devices. Participants will build on Samsung Galaxy S25 Ultra devices powered by Snapdragon and receive mentorship and hands-on support from @Qualcomm and @Meta experts. Learn more and register: https://t.co/spjyl4kZJj Applications close June 15.
OpenEnv is a tool for creating an agentic execution environment, like terminals, browsers, or anything an agent can interact with. OpenEnv contributors announced that the project will now be coordinated by a committee that includes Meta-PyTorch, Reflection, @UnslothAI, @modal, @PrimeIntellect, @nvidia , @mercor_ai, @fleet_ai, and @huggingface. Today's announcement also notes that OpenEnv is supported and adopted by organizations including PyTorch Foundation, @vllm_project, @LightningAI, and others. ๐ Read more: https://t.co/SaaSDwFKVk
๐ง From breakthrough research to production-scale #AI, #PyTorchCon is where the #PyTorch community comes together. Join us October 20-21 in San Jose, California. ๐๏ธ Register by 31 July & save $400: https://t.co/AVHdaIFT20 https://t.co/FwgerDsXER
AI agents are changing how you interact with your PC. @nvidia and @Microsoft are teaming up to enable the next generation of developers to build on-device agents on the Windows platform, with easier setup, native security, and integration with the apps and tools developers already use. This includes optimizing the ComfyUI implementation in PyTorch, enabling developers to run larger models with better performance. Read the complete blog post: https://t.co/pAJRnDqKBh
perf packed release: safetensors 0.8.0 is out โก๏ธ Main takeaways: - direct copy into metal MTLBuffers + dlpack for 0-copy hand-off to target framework (only torch for now) -> 2-3x perf improvement + fixes OOMs loading models that are around the limit of unified memory on macOS when loading with transformers - GIL-free serialization, enabling multi-threaded saves from Python -> 1.2x to 2x faster for single files, but you can expect more improvement when saving multiple files in parallel! Check the release notes for the full list of improvements!
From #CloudNative to #AI and #OpenInfra: Experience the full spectrum of #OpenSource innovation in Shanghai. ๐จ๐ณ Event: KubeCon + CloudNativeCon + OpenInfra Summit + PyTorch Conference China Dates: Sept 8-9 ๐ฐ Save ยฅ710 RMB if you register by July 28! https://t.co/cChMvGvcei https://t.co/yqRITldxQD
Helion is a PyTorch-native hardware agnostic kernel DSL designed for writing high-performance kernels using a tile-programming model. In our latest blog post, Sean Chen (@RedHat) and Yanan Cao (PyTorch, @Meta) explored integrating Helion kernels with @vllm_project and evaluated their performance across a range of LLM inference workloads, showing impressive performance speedups thanks to Helionโs Ahead-of-Time autotuning and fine-grained runtime dispatching. Letโs dive into kernel fusion, framework design, and end-to-end benchmarking, showing how Helion can be easily integrated into vLLM and bring significant benefits. Read the full technical deep dive ๐ https://t.co/15zXb5Y3Kg
Submit your poster proposal for #PyTorchCon North America! Share your latest #AI, ML, #PyTorch, tooling, infrastructure, or research work with the community October 20-21 in San Jose, CA. ๐๏ธ Poster #CFP closes July 26: https://t.co/M7WmgnmuKJ https://t.co/Ozs2HtTFGs
Enable smarter, longer-thinking agents Scale agentic AI and reinforcement learning by shortening CPU execution time, increasing task throughput, and improving overall AI factory output. The @nvidia custom Olympus core in the NVIDIA Vera CPU uses a neural branch predictor to reduce stalls in branch-heavy code. Combined with other prediction mechanisms, it can sustain two taken branches per cycle with zero penalty, maintaining throughput for deep software stacks such as PyTorch, graph workloads, and scripting engines. Read the complete blog post: https://t.co/L6NmBJWgDY
๐งฑ DiffusionBlocks: Training Neural Networks One Block at a Time https://t.co/zw7kehHDYc
ไปๅค22:00ๆพ้ ใใฌใๆฑไบฌWBS (@wbs_tvtokyo) ็ต็ฃ็ใฎAI้็บๆฏๆดใใญใธใงใฏใใGENIACใๆกๆใซใคใใฆใๅๆใๅใใพใใใๅผ็คพCEOใฎDavid Ha (@hardmaru) ใจResearch Scientistใฎ่ ๆฒผใใ็งใใกใฎๆฆ็ฅใๆฅๆฌ็บใฎAIใไธ็ใๅคใใๅฏ่ฝๆงใซใคใใฆ่ชใใพใใใใฒใ่ฆงใใ ใใ๏ผ
Building AI that Builds AI: Introducing the Sakana AI RSI Lab ๐ https://t.co/AskX3J5oEJ Today, we are announcing the Sakana AI Recursive Self-Improvement (RSI) Lab: a dedicated research group in Tokyo tasked with redesigning the AI development process itself using AI. While the industry increasingly speculates about the theoretical potential of self-improving AI, weโve spent the last two years actively laying the foundations to make it a reality: โช LLMยฒ: AI models automating research to invent better preference optimization algorithms. โช Darwin Gรถdel Machine: Agents autonomously rewriting their own codebase to double software-engineering performance. โช ShinkaEvolve: Hyper-sample-efficient program evolution that builds novel loss functions for MoE models. โช ALE-Agent: Reinforcement agents outperforming hundreds of human experts via self-learning. โช Digital Red Queen: Open-ended adversarial coevolution laying the groundwork for RSI in cybersecurity. โช The AI Scientist: Towards end-to-end automation of AI research, recently published in Nature. Now, we are unifying these breakthroughs. The Sakana AI RSI Lab is officially tasked with building open-ended, adaptive architectures that collectively self-improve. Human intelligence did not emerge from limitless resources; it was forged through the open-ended, compounding process of evolution operating under strict constraints. We are applying this exact principle to AI. We believe recursive self-improvement is achievable on modest, sample-efficient compute. It shouldnโt be a winner-take-all asset locked inside hyperscale clusters, but a democratized public good. Weโre scaling our team to execute this mission. We are looking for frontier scientists and engineers who are entirely unsatisfied with the brute-force status quo. If you are ready to break away from standard benchmarking and build the self-improving future in Japan, come build with us.
Weโve been laying the foundations for RSI over the last 2 years. Now, I am looking for a select group of distinguished frontier researchers and engineers to join our core RSI team. https://t.co/1eEBgLdQhY If you have a proven track record at the frontier, but find yourself entirely bored with the status quo of brute-force scaling, this is your call.
