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Knowledge base1 мин

Operating Frontier Intelligence at Scale - Chris Aniszczyk & Xiao Zhang

Clearly like models are exciting. You know, as an engineer, I always love going playing with the latest model out there. There seems to be so many of them out there that you could choose from, which is great. And I'm happy to see there's a lot of open options out there. But I…

YouTube — PyTorch Official
Knowledge base1 мин

From Open Source Adoption To Open Source Innovation: China’s Next Chapter - Lu Shouqun

Jonathan Polasky, Samsung Tech, Samsung, Samsung, marker, Korean Samsung Tech, Samsung. CNCF, the learning path is open to many, the learning path, everything is pi-touch, the learning path, the layer of her, the jungle of the sun, her, you burn them. Becomes a call. Native color, come, open to layer,...

YouTube — PyTorch Official
Research1 мин

Optimizing Mixture of Experts LLM inference on ARM CPUs

Hi, I'm Majid from Intel Research India, and I'm excited to be speaking at PyTorch Conference North America this October. I'll be talking about efficient mixture of experts LLM inference on using VLLM and OpenVINO, and how we can efficiently run these models on ARM CPUs. If…

YouTube — PyTorch Official
Infrastructure1 мин

Integrating RCCL GPU-Initiated Networking into TorchTitan’s MoE Communication

Hi, I'm Rishi from AMD. Within distributed training, communication is one of the primary bottlenecks, and limiting the time spent on communication can massively boost end-to-end performance. We investigate this hypothesis by integrating work from the Rickle team to use…

YouTube — PyTorch Official
Knowledge base1 мин

What You Cannot Profile, You Cannot Optimize: Learning to Read PyTorch Traces

Hello, my name is Souvik and I work at hugging face. I'm going to be at the PyTorch conference 2026 and I will be talking about how you can get started with using the PyTorch profiler on your models. And how you can extract the maximum efficiency from them. Come join us on…

YouTube — PyTorch Official
Infrastructure1 мин

Extending TorchInductor with FlyDSL: A New MLIR-Native Backend for High-Performance GEMMs

Здравствуйте, я Лиз Ли из AMD. >> Здравствуйте, я Джек Хуай из AMD. >> Современные рабочие нагрузки ИИ зависят от растущего спектра специализированных ядер GPU, и ни один бэкенд генерации ядер не является оптимальным для всех форм операторов и архитектур. Мы исследуем эту…

YouTube — PyTorch Official
Research1 мин

PyTorch-Native LLM Serving on TPU: SGLang and vLLM

Hi, I'm G from Google. >> I'm Colin from Meta. >> I'm Angela from Meta. >> We are going to be speaking at the PyTorch conference San Jose about new VLM and SG learn engines built on a new PyTorch native TPU backend torch TPU. >> Rather than build a new serving engine or porting…

YouTube — PyTorch Official
Knowledge base1 мин

Making Weather Forecasts More Accurate

So we know the Earth is getting warmer. We understand climate change at a big picture, but we're struggling to predict the details of what that means for the Earth. NeuralGCM is a new kind of atmospheric model. We feel it has potential to transform how we understand climate.…

YouTube — Google Research
Knowledge base1 мин

Project Vaani

- In India, we've got 1,300+ languages. There's a saying here, every mile the taste of water changes and every four miles the language changes. - If you travel from one state to another, even one district to another district, you find it difficult to communicate. What will…

YouTube — Google Research
Knowledge base1 мин

Language AI at Google

- Language is core to what it means to be human. It's how we make sense of the world around us and how we relate to one another. It's an expression of identity. Language is not only how we communicate with one another, it's also how we communicate with technology. And while most…

YouTube — Google Research
Knowledge base1 мин

A Conversation on Language AI

- I wanna start with Google's sort of broader mission of making information more accessible and useful. And for 25 years or so, we've done that, impacting billions of people across the world. What do you see as the future of making information universally accessible and what…

YouTube — Google Research
Knowledge base1 мин

Can we hear disease before we see it?

Интересно представить, что будущее клинической помощи может заключаться в том, что мы будем слышать, прежде чем видеть. В исследовательском центре Google мы разработали акустические модели для здравоохранения, известные как Here, которые являются базовой моделью. С помощью Here…

YouTube — Google Research