Accelerating Vector Search: NVIDIA cuVS IVF-PQ Part 2, Performance Tuning – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-07-08T23:46:38Z http://www.open-lab.net/blog/feed/ Artem Chirkin <![CDATA[Accelerating Vector Search: NVIDIA cuVS IVF-PQ Part 2, Performance Tuning]]> http://www.open-lab.net/blog/?p=81681 2024-10-03T21:18:45Z 2024-07-18T17:10:03Z In the first part of the series, we presented an overview of the IVF-PQ algorithm and explained how it builds on top of the IVF-Flat algorithm, using the...]]> In the first part of the series, we presented an overview of the IVF-PQ algorithm and explained how it builds on top of the IVF-Flat algorithm, using the...

In the first part of the series, we presented an overview of the IVF-PQ algorithm and explained how it builds on top of the IVF-Flat algorithm, using the Product Quantization (PQ) technique to compress the index and support larger datasets. In this part two of the IVF-PQ post, we cover the practical aspects of tuning IVF-PQ performance. It��s worth noting again that IVF-PQ uses a lossy��

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