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Deduplicate and quality-filter a multi-petabyte web corpus. What does that pipeline cost and where does it bottleneck?

Budget exact hashes, MinHash signatures and candidate-pair growth separately. Use an executable probability model and measured filter rates to choose stage order.

Updated Oct 2026 · Learn how AI infrastructure works through explanations, worked examples and diagrams, then practise applying it to interview questions.

Budget exact hashes, MinHash signatures and candidate-pair growth separately. Use an executable probability model and measured filter rates to choose stage order.

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The concepts behind this question

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Evaluation and Data Pipeline InfrastructureData pipelines prepare traceable training inputs; evaluation pipelines compare model behavior. Both need versioned inputs, reproducible execution and useful failure reporting.

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NCCL and Collective AlgorithmsNCCL implements GPU collectives using algorithms, protocols and channels over available hardware paths. Learn what each choice changes, how to read bandwidth results, and which evidence separates a communication problem from late application work.

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RDMA, InfiniBand and RoCEv2RDMA lets network adapters transfer data directly between registered memory regions. InfiniBand and RoCE provide different network and operating environments for those transfers.

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Rail-Optimized and Fat-Tree FabricsRail-optimized and Clos fabrics organize traffic between GPU nodes. Port counts, placement and oversubscription determine which paths are available to collectives.

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FEDITOR'S NOTE

Explain LSH as probabilistic candidate generation, count skewed-bucket pairs and preserve the representative-selection policy when reordering stages.

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