179 questions
No questions match those filters.
← All questions
Retrieval & EmbeddingsHard· ANN search· GPU memory· Latency optimization
Your ANN search stage measured 6 ms in staging on a 10...
This is one of the questions in the full AI/ML interview bank. Pro unlocks all 1789 questions; Premium includes the same bank plus the highest daily Practice limit.
See plansAt 500 million chunks, the index is roughly 19 times larger than at 10 million, meaning it no longer fits on a single GPU card. The search must now occur in CPU DRAM, introducing significant transfer costs. A strong approach involves calculating the memory requirements first and then optimizing the pipeline by hiding the transfer time behind the query-rewrite phase, rather than attempting to force the index into a GPU or reducing embedding dimensions without evidence.