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Update _posts/2025-03-27-Boost-OpenSearch-VectorSearch-Performance-With-Intel-AVX512.md
Signed-off-by: Nathan Bower <[email protected]>
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_posts/2025-03-27-Boost-OpenSearch-VectorSearch-Performance-With-Intel-AVX512.md

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![Indexing throughput fp16 for cohere-1m dataset](/assets/media/blog-images/2025-03-24-Boost-OpenSearch-VectorSearch-Performance-With-Intel-AVX512/cohere-1m-indexing-fp16.png){: .img-fluid}
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### GIST-1M with fp32
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### GIST-1M with FP32
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Indexing operations demonstrate a 5% boost, while search throughput and latencies demonstrate a 2% and 6% improvement, respectively, compared to AVX2. While search throughput with the `gist-1m` dataset is not comparable to that of the `cohere-1m` dataset, the latency boost is maintained.
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