AI-Powered Workflows to Build Fault-Tolerant Quantum Systems The fundamental challenge in quantum computing—qubits are inherently noisy. The best quantum processors make an error roughly once in every thousand operations. To become useful accelerators for scientific and enterprise problems, error rates must drop to one in a trillion or better. AI is the most promising path to closing that gap at scale. NVIDIA Ising is the world’s first family of open AI models for building quantum processors, launching with two model domains: Ising Calibration and Ising Decoding. 🔗 Read the full post: https://lnkd.in/gGWVPFd2 #PyTorch #OpenSourceAI #AI #Inference #Innovation
PyTorch
Research Services
San Francisco, California 318,952 followers
An open source machine learning framework that accelerates the path from research prototyping to production deployment.
About us
An open source machine learning framework that accelerates the path from research prototyping to production deployment. PyTorch is an open source project at the Linux Foundation.
- Website
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http://www.pytorch.org
External link for PyTorch
- Industry
- Research Services
- Company size
- 501-1,000 employees
- Headquarters
- San Francisco, California
- Type
- Public Company
- Specialties
- Artificial Intelligence, Deep Learning, Machine Learning, and AI
Locations
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Primary
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548 Market St
San Francisco, California, US
Employees at PyTorch
Updates
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What are you building with PyTorch? 🛠️ The Call for Proposals for PyTorch Conference North America (Oct 20-21 | San Jose) is seeking technical expertise across a variety of tracks: 🔹 Applications: Showcasing the PyTorch ecosystem 🔹 Training: Techniques and libraries 🔹 Inference: Optimization and deployment 🔹 Core PyTorch: Framework changes 🔹 Kernel Engineering: Compilers and DSLs 🔹 Responsible AI: Ethics, security, and privacy 🗓️ Submit by June 7: https://bit.ly/4bIgqbs #PyTorchCon #PyTorch #PyTorchFoundation #FutureOfAI #AI #GenAI #MachineLearning #ML #DeepLearning #OpenSource #OpenSourceSoftware #OpenSourceDevelopment #OpenSourceCommunity #OSS #LinuxFoundation #events #linux #CallForProposals #CallForPapers #CFP #CallForSpeakers
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PyTorch reposted this
Introducing TokenSpeed, a speed-of-light LLM inference engine. > TensorRT LLM level performance > vLLM level usability > Built by a lean and mission-driven team in two months > MIT license, open-source https://lnkd.in/dfP69kcr https://lnkd.in/dsezEG8V
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TODAY is the last day for Early Bird registration! 🚨 Join the architects and innovators of the intelligent era in Shanghai this 8-9 September for KubeCon + CloudNativeCon + OpenInfra Summit + PyTorch Conference China. If you register by tonight at 23:59 CST, you will save ¥1,270 RMB (USD$179) on your attendee pass. Don't wait until rates increase at midnight. Secure your spot at the heart of open source innovation in China at the best possible price. 🔗 Register and save now: https://bit.ly/3NG8hv1 #KubeCon #CloudNativeCon #OpenInfraSummit #PyTorchCon #Kubernetes #K8s #CloudNative #OpenInfra #PyTorch #PyTorchFoundation #FutureOfAI #AI #GenAI #MachineLearning #ML #DeepLearning #OpenSource #OpenSourceSoftware #OpenSourceDevelopment #OpenSourceCommunity #OSS #CNCF #CloudNativeComputingFoundation #events #linux #software
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The second in the series of Simplifying Sparse Deep Learning with Universal Sparse Tensor in nvmath-python In a previous post, NVIDIA introduced the Universal Sparse Tensor (UST), enabling developers to decouple a tensor’s sparsity from its memory layout for greater flexibility and performance. We’re excited to announce the integration of the UST into nvmath-python v0.9.0 to accelerate sparse scientific and deep learning applications. 🖇️ Read the follow-on post: https://lnkd.in/gkiGrpMT #PyTorch #OpenSourceAI #AI #Inference #Innovation
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We’re excited to share In-Kernel Broadcast Optimization (IKBO)—a kernel-model-system co-design approach driving Meta’s large-scale recommendation system (RecSys) inference. It serves as the scalability backbone for the request-centric, inference-efficient framework underlying the Meta Adaptive Ranking Model (serving LLM-scale models in production). The core idea is simple but powerful: broadcast is a data layout concern, not a computational necessity. Instead of materializing broadcast at the service layer, IKBO pushes it all the way down into the kernel layer—precisely where request and candidate features interact. This enables the system, together with model co-design, to capture the full performance upside. By preserving request and candidate inputs in their native batch sizes and fusing broadcast directly into the kernel, IKBO eliminates replicated memory movement and redundant computation across the stack. From Attention in sequence modeling to GEMM in traditional workloads, the same idea delivers broad inference gains. Results from our co-designed deployments: ⚡ Up to a 2/3 reduction in compute-intensive net latency on co-designed models. ⚡ End-to-end deployment across Meta's RecSys stacks on both GPU and MTIA (Meta's in-house accelerator). ⚡ Up to 4x speedups for linear compression GEMM and up to 2.4x/6.4x (kernel only / kernel + broadcasting) throughput for IKBO attention compared to FlashAttention-4 on H100. 🔗 If you’re interested in how rethinking a primitive like broadcast can unlock system-level gains for modern AI inference, take a look: https://lnkd.in/gehGufqS Jian Jiao, Boda Li, Hongtao Yu, Yuanwei Fang, Zhengkai Zhang, Zhuoran Zhao (赵卓然), Yuxin Chen, Sijia Chen, Yang Chen #AI #Meta #Kernel #CoDesign #SequenceModeling #PyTorch
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The 2026 PyTorch Docathon will take place May 5 to May 19, a hackathon-style community event focused on improving PyTorch documentation. Whether you're new to open source or an experienced contributor, the Docathon offers opportunities to improve tutorials, guides, examples, and website content. Many issues are beginner-friendly, with tasks labeled by skill level and support available through the PyTorch Discord. Contributors can make an immediate impact while learning more about PyTorch modules, tutorials, and workflows. Schedule: May 5 Kickoff and Q&A, 10:00 AM PT May 6 to May 15 Submissions and feedback May 16 to May 18 Final reviews May 20 Winner announcements RSVP to receive updates, participation details, and event instructions. Learn more: https://lnkd.in/gXVN2TyM #PyTorch #PyTorchDocathon #OpenSourceAI
2026 PyTorch Docathon
www.linkedin.com
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Relive the energy of PyTorch Conference North America as we look forward to San Jose! ⚡ Before we gather again in the Bay Area from October 20-21, take a look back at the groundbreaking sessions and community connections from our 2025 event. Ready to join us in California? Register by July 31 and take advantage of $400 in early bird savings. 📺 Recap 2025: https://bit.ly/4cZf3EE 🎟️ Register for 2026: https://bit.ly/4sh3DSw #PyTorchCon #PyTorch #PyTorchFoundation #FutureOfAI #AI #GenAI #MachineLearning #ML #DeepLearning #OpenSource #OpenSourceSoftware #OpenSourceDevelopment #OpenSourceCommunity #OSS #LinuxFoundation #events #linux
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Don't miss out on ¥1,270 RMB in savings! 🏔️ Tomorrow, 6 May, is the final day to secure Early Bird rates for KubeCon + CloudNativeCon + OpenInfra Summit + PyTorch Conference China. Join the global open source and AI community in Shanghai this 8-9 September for the premier technical event of the year. Register by tomorrow at 23:59 CST to save ¥1,270 (USD$179) on your pass. 🔗 Secure your spot: https://bit.ly/3NG8hv1 #KubeCon #CloudNativeCon #OpenInfraSummit #PyTorchCon #Kubernetes #K8s #CloudNative #OpenInfra #PyTorch #PyTorchFoundation #FutureOfAI #AI #GenAI #MachineLearning #ML #DeepLearning #OpenSource #OpenSourceSoftware #OpenSourceDevelopment #OpenSourceCommunity #OSS #CNCF #CloudNativeComputingFoundation #events #linux #software
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FINAL CALL: The Call for Proposals closes TODAY! 🚨 The deadline to submit your talk for KubeCon + CloudNativeCon + OpenInfra Summit + PyTorch Conference China is 23:59 China Standard Time. This is the final opportunity to bring your insights to the stage in Shanghai this 8-9 September. Shape the future of open source infrastructure and AI: https://bit.ly/40QIjb2 #KubeCon #CloudNativeCon #OpenInfraSummit #PyTorchCon #Kubernetes #K8s #CloudNative #OpenInfra #PyTorch #PyTorchFoundation #FutureOfAI #AI #GenAI #MachineLearning #ML #DeepLearning #OpenSource #OpenSourceSoftware #OpenSourceDevelopment #OpenSourceCommunity #OSS #CNCF #CloudNativeComputingFoundation #events #linux #software #CallForProposals #CallForPapers #CFP #CallForSpeakers