#pytorch search results
Got a #PyTorch breakthrough to share? ๐ค The #CallForProposals for #PyTorchCon North America (Oct 20-21 | San Jose) is in full swing. Submit your technical session idea by June 7! Apply: bit.ly/4bIgqbs
From leading the #PyTorch transition to the @linuxfoundation to spearheading the Llama #OpenSource strategy, Joe Spisak has defined the #AI landscape. ๐ Join him at #PyTorchCon Europe in Paris to discuss the future of collaborative AI! ๐ Paris | 7-8 April Details:
Join us in San Jose for #PyTorchCon North America! ๐ Secure your spot for Oct 20-21 & save $400 with our early bird rates. Donโt miss the premier event for the #PyTorch community. Register now: bit.ly/4sh3DSw
Bring the power of #GoogleColossus to #PyTorch with Rapid Bucket + fsspec (GCSFS). ๐น 4.8x faster reads ๐น 2.8x faster writes ๐น 23% faster total training time with PyTorch Lightning Keep your GPUs fed and your workloads moving. Learn more: goo.gle/4945HpX
Heading to #NVIDIAGTC next week? Letโs talk @PyTorch. ๐ Weโre bringing the community to San Jose. Drop by Booth #338 to meet expert developers and core maintainers in person. Scaling, inference, foundation models, and OSS contributions. Full schedule below ๐ #PyTorch
MXFP8 training for MoEs on GB200s enables a 1.3x speedup with equivalent convergence versus BF16. This #PyTorch update via TorchAO and TorchTitan on Crusoe Cloud details gains from dynamically quantized grouped GEMMs. #AI #OpenSource ๐ pytorch.org/blog/mxfp8-traโฆ โ๏ธ @vega_myhre,
๐ It all starts tomorrow! #PyTorchCon Europe 7โ8 April | Paris Two days of #ML innovation, community & #PyTorch breakthroughs. ๐ It's not too late to join us: bit.ly/4bUWj91
Big update to #Monarch, our distributed programming framework for #PyTorch! Since its launch at the #PyTorchCon NA in October, the team has shipped Kubernetes support, RDMA on AWS EFA and AMD ROCm, distributed SQL-based telemetry, a terminal UI, and dashboards for live job
#ExecuTorch addresses fragmented native deployment for #AI agents as a #PyTorch native platform. It enables voice models across CPU, GPU, and NPU on Android, iOS, Linux, macOS & Windows ๐ pytorch.org/blog/building-โฆ
๐ Put your brand in front of the #PyTorch community. Sponsor #PyTorchCon Europe, 7โ8 April in Paris, and connect with the researchers, engineers & #ML leaders building the next generation of #AI. Showcase your tech. Meet top talent. Build real partnerships. ๐ค Explore
1๏ธโฃ week until #PyTorchCon Europe! ๐ซ๐ท Paris becomes the home of #PyTorch for two days of #ML breakthroughs & community from 7-8 April. Check out schedule: bit.ly/3PpSktm. ๐ Join us! bit.ly/4bUWj91
Training large-scale MoE models just got easier -- with NVIDIA NeMo Automodel, you can train billion-parameter MoE models directly in #PyTorch using built-in GPU optimizations. โ Open source โ 200+TFLOPs/GPU Read more in our technical blog: developer.nvidia.com/blog/acceleratโฆ
Itโs here! ๐ฅ #PyTorchCon Europe starts TODAY in Paris. Letโs build, learn, and celebrate the #PyTorch community together. ๐ Join us: bit.ly/4bUWj91
The #GenAI & Multimodal track at #PyTorchCon Europe explores building & scaling generative & multimodal models using #PyTorch. Learn more: hubs.la/Q046Lxy40 ๐ Register โ hubs.la/Q046LfC90
A new PyTorch-native backend is coming to unlock the power of Google TPUs: โจ Run existing PyTorch with minimal code changes. โจ Get a 50-100%+ performance boost with Fused Eager mode. Read the engineering deep dive here: goo.gle/4vbTQQl #TorchTPU #PyTorch #MLOps #AI
๐ด PyTorch SMG: CPU/GPU disaggregation โ 3.5ร LLM throughput. Llama 3.3 70B FP8. Prod: GCP, Oracle, Alibaba. 24-ai.news/en/news/2026-0โฆ #PyTorch #LLMInference
Just shipped a full end-to-end edge deployment of ResNet-50 PyTorch โ ONNX โ ExecuTorch Real-time vision running efficiently on the edge. No cloud. Low latency. Production-ready pipeline. Read the complete guide here: anubhutiailabs.substack.com/p/end-to-end-eโฆ #EdgeAI #ResNet #PyTorch
#PyTorch Lightning and #Intercom-client Hit in #Supply_Chain_Attacks to #Steal #Credentials buff.ly/557NIxP
๐ด PyTorch SMG: CPU/GPU disaggregation โ 3.5ร LLM throughput. Llama 3.3 70B FP8. Prod: GCP, Oracle, Alibaba. 24-ai.news/en/news/2026-0โฆ #PyTorch #LLMInference
Day 1 of my Deep Learning journey โ๏ธ Started with PyTorch ๐ฅ โข What is PyTorch โข Who created it โข Timeline & evolution โข Features โข PyTorch vs TensorFlow Beginning my DL journey ๐ #DeepLearning #PyTorch #LearningInPublic
#ใปใญใฅใชใใฃ #PyTorch #ใใซใฆใงใข ๅป็AI้็บใง PyTorch ไฝฟใฃใฆใใชใ่ฆ็ขบ่ชใใใฌใผใใณใฐ็ฐๅขใๆฑๆใใใใจใๆฃ่ ใใผใฟใๆผๆดฉใใๅฏ่ฝๆงใใใตใใฉใคใใงใผใณๆฑๆใฏๆฌๅฝใซๅฑใชใโผ๏ธ
Got a #PyTorch breakthrough to share? ๐ค The #CallForProposals for #PyTorchCon North America (Oct 20-21 | San Jose) is in full swing. Submit your technical session idea by June 7! Apply: bit.ly/4bIgqbs
Machine Learning with PyTorch and Scikit-Learn Link - amzn.to/4tBqr0y #MachineLearning #Python #PyTorch #DeepLearning #AI #programming
Once you build it from scratch first, the PyTorch version finally makes sense.Still a long way to go, but this tutorial removed a lot of the confusion. Next up: Transfer Learning for Computer Vision.#PyTorch #MachineLearning #BuildInPublic
๐ก PyTorch AutoSP: compiler in DeepSpeed auto-converts transformer code to sequence-parallel for 100k+ tokens. Tested 8ร A100. 24-ai.news/en/news/2026-0โฆ #PyTorch #LLM
MarketSonarใฏWindowsไธใงๅไฝใใ็กๆใฎใใฃใผใๅๆใฝใใใงใใ ใป้ๆใๆฌกใ ใใใใใใใใจๅๆฟใใชใใ้ฒ่ฆงๅฏ่ฝ ใป่ฑๅฏใชใคใณใธใฑใผใฟ ใปๅผทๅใชๆค็ดขๆฉ่ฝ ใปPythonใจใฎ้ฃๆบๆฉ่ฝ marketsonar2.wixsite.com/marketsonar/ #ใใฃใผใ #ใใฏใใซใซๅๆ #pytorch #keras
Fix PyTorch bottlenecks with profiling, not just more compute. ๐ High DataLoader time = I/O limits. ๐ง High MemCpy = inefficient tensor creation. Get the guide: na2.hubs.ly/H05b2P50 #MLOps #PyTorch
๐คฏ[NEW VIP COURSE] Next-Gen AI: Deep Reinforcement Learning in #PyTorch GET 75% OFF: deeplearningcourses.com/c/deep-reinforโฆ #artificialintelligence #deeplearning #datascience #machinelearning
Bring the power of #GoogleColossus to #PyTorch with Rapid Bucket + fsspec (GCSFS). ๐น 4.8x faster reads ๐น 2.8x faster writes ๐น 23% faster total training time with PyTorch Lightning Keep your GPUs fed and your workloads moving. Learn more: goo.gle/4945HpX
Starting my ML/DL journey โ learning in public. Built my first Linear Regression model using PyTorch (nn module) to understand how models learn. ๐ Project: github.com/NeuroDeepDev/Dโฆ Open to feedback on my code and approach. #MachineLearning #PyTorch #LearnInPublic
#Meta #PyTorch dominates #AI #research via #NVIDIA #CUDA, while #Google #TPUs lagged due to #XLA friction. #TorchTPU removes these barriers with #MPMD support and #Eager Modes, enabling smoother PyTorch execution on #TPUs. #GoogleCloudNext2026
#Meta #PyTorch became widely adopted for its easyโtoโdebug Eager Mode, strong Python integration, and tight coupling with #NVIDIA #CUDA, while #Googleโs #TPU struggled due to low PyTorch compatibility requiring XLA and code rewrites.
Next up? Before letting torch.nn do the heavy lifting, my goal is to build a neural network completely from scratch. Time to code the raw math and truly understand the mechanics under the hood. #PyTorch #MachineLearning #100xDevs #LearningInPublic
Built at the @Scaler_SST AI Hackathon Finals (@Meta ร @PyTorch ร @huggingface) GPU Budget Negotiation Arena โ an OpenEnv-style multi-agent RL environment for compute-market negotiation... Space: huggingface.co/spaces/abhinavโฆ #OpenEnv #Meta #PyTorch #HuggingFace #AI #RL #LLM
linktr.ee/learnbydoingwiโฆ #learnbydoingwithsteven #PyTorch #AIEfficiency #LLM #DeepLearning #StanfordCS336 #MachineLearning #AIOptimization #H100 #GPU
๐ GitHub Trending (Refresh) TorchCode: LeetCode for PyTorch. Practice implementing softmax, attention, GPT-2 and more from scratch with instant auto-grading. Jupyter-based, 40 problems, no GPU required. Self-host or try online. 3,580 stars #PyTorch #MachineLearning #Education
#PyTorchCon Europe 2026 #CallForProposals is open! ๐ค Submit to speak by 8 February for sessions at the Paris event, 7-8 April. Share your #PyTorch insights on research, applications, tooling, best practices, performance, community building, or innovative use cases. โก๏ธ Submit
January PyTorch newsletter is out. Get updates on #PyTorchConferenceEurope CFPs, #PyTorchDayIndia registration, a 2025 year-in-review, and new technical blogs on scalable RL, FlexAttention, and more. Read: hubs.ly/Q03__YVW0 Subscribe: hubs.ly/Q03__ZV30 #PyTorch
PyTorch at the micro-edge? Yes. See how ExecuTorch brings PyTorch models to Arm microcontrollersโquantized, compiled, and running on a Corstone-320 + Ethos-U NPU (via FVP). ๐ hubs.la/Q045FHpT0 From training to deployment, end to end. #PyTorch #ExecuTorch #EdgeAI #TinyML
๐ฃ ICYMI: #PyTorchDayIndia is coming to Bengaluru on 7 February! Register NOW & reserve your seat for a full day of #PyTorch technical talks, discussions & networking with #AI & #ML leaders โก๏ธ hubs.la/Q03-s0qv0
MXFP8 training for MoEs on GB200s enables a 1.3x speedup with equivalent convergence versus BF16. This #PyTorch update via TorchAO and TorchTitan on Crusoe Cloud details gains from dynamically quantized grouped GEMMs. #AI #OpenSource ๐ pytorch.org/blog/mxfp8-traโฆ โ๏ธ @vega_myhre,
๐ฏ Secure your spot at early bird rates! #PyTorchDayIndia is going live 7 February in Bengaluru. Dive deep into #PyTorch with industry experts, cutting-edge demos & real-world #AI applications. Limited early bird pricing available until 31 January โก๏ธ hubs.la/Q03_bJhM0
We're excited to announce that @nota_ai has joined PyTorch Foundation as a Silver Member to advance open source AI ๐ย Nota AI will support the PyTorch community with model compression, quantization, and hardware-aware optimization, from edge to cloud. #PyTorch #OpenSourceAI
The Triton team at Meta shares a working implementation of warp specialization in the #Triton compiler, along with the current design and upcoming roadmap, and invites community feedback from the #PyTorch and open source AI community. ๐hubs.la/Q03-cD2J0 #AIInfrastructure
New to the PyTorch Ecosystem Landscape: Kubetorch. Kubetorch enables ML research and development on Kubernetes across training, inference, RL, evals, data processing, and more, in a simple and unopinionated package. Learn more: hubs.la/Q0453qFd0 #PyTorch #Kubernetes
#PyTorch 2.10 includes updates focused on performance and numerical debugging. Next week, Andrey Talaman, Nikita Shulga, and Shangdi Yu (Meta) will provide a brief update on the release and answer questions in a live Q&A. Topics include TorchScript deprecation, torch.compile
A new PyTorch-native backend is coming to unlock the power of Google TPUs: โจ Run existing PyTorch with minimal code changes. โจ Get a 50-100%+ performance boost with Fused Eager mode. Read the engineering deep dive here: goo.gle/4vbTQQl #TorchTPU #PyTorch #MLOps #AI
โณ 3 days left to save! Spend only โฌ449 on your #PyTorchCon Europe ticket if you regsiter by 27 February. Join researchers, developers, and #AI engineers from 7-8 April in Paris and help shape #PyTorch in production. Schedule: hubs.la/Q044yF_z0 Register:
Scaling RL for LLMs is hard. The #PyTorch team at Meta open sourced torchforge and shares #ReinforcementLearning lessons from evaluating it with Weaver on a 512 GPU cluster. ๐ hubs.la/Q03-fZs_0
#ExecuTorch addresses fragmented native deployment for #AI agents as a #PyTorch native platform. It enables voice models across CPU, GPU, and NPU on Android, iOS, Linux, macOS & Windows ๐ pytorch.org/blog/building-โฆ
Big update to #Monarch, our distributed programming framework for #PyTorch! Since its launch at the #PyTorchCon NA in October, the team has shipped Kubernetes support, RDMA on AWS EFA and AMD ROCm, distributed SQL-based telemetry, a terminal UI, and dashboards for live job
FlexAttention has been adopted across popular #LLM ecosystem projects, including Hugging Face, vLLM, and SGLang, reducing the effort required to adapt and experiment with newer attention variants in modern LLMs. ๐ Read our latest blog from @Intel #PyTorch & Triton Teams:
#DeepLearning with #PyTorch Step-by-Step Beginner's Guides (3 volumes) Vol.1 (Fundamentals) and 2 (Computer Vision): amzn.to/3TWr8SL Vol.3 (Sequences and #NLProc): amzn.to/49bh5h2 โโโโ #MachineLearning #ML #AI #DataScience #DataScientist #Python #ComputerVision
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