LinkedIn to present a PyTorch-native GPU retrieval engine powering feed and search
PyTorch · x · 2026-09-18
PyTorch announced a talk for PyTorch Conference North America 2026 (Oct 20-21, San Jose): Dhritiman Das, Staff ML Infrastructure engineer at LinkedIn, will present a torch-native retrieval engine that uses PyTorch as the primary runtime for retrieval, filtering, and ranking.
- Combines a GPU-resident torch tensor index, tensor-based retrieval ops, custom CUDA kernels for attribute filtering, and TorchScript model execution
- Unified serving architecture orchestrated via a Rust + tch-rs backend
- Scales to production-critical use cases like LinkedIn's feed and search
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