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PyTorch Bangalore is a community of developers, researchers, and ML enthusiasts passionate about advancing PyTorch in real-world applications. We explore everything from model training & optimization to inference at scale, share upstream contributions, and collaborate on open-source projects. Whether you’re new to PyTorch or a seasoned contributor, join us to learn, build, and shape the future of AI/ML—right here in Bangalore

Revealing speaker lineup is here!

1. Debasish Tripathy : AI & Transformation of IoT device management into a self-defending, self-optimizing ecosystem.

2. Mansi Agarwal : Training Beyond Memory Limits: Understanding PyTorch FSDP

3. Karthika M : PyTorch in healthcare applications across multiple modalities

4. Ayush Satyam: vLLM: Architectural deep dive (Understanding a High throughput LLM Inference system)

5. Parshant Sharma : Quantization in PyTorch

6. Vishal Goyal : The Journey of PyTorch: From Research to Production

7. Arkadip Maitra: Harnessing Sparsity: Faster and Leaner Deep Learning Models

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