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As data continues to grow at an unprecedented rate, optimizing vector search pipelines has become more critical than ever. Binary vectors play a vital role in this regard, offering significant performance advantages in use cases where speed and reduced storage requirements are essential. The OpenSearch Vector Engine has supported binary vectors through the FAISS engine since version 2.16. Now, we’re taking this capability even further by leveraging advanced CPU instructions from the AVX-512 instruction set, available on Intel Gen4 and newer processors. These processors, available in AWS’s r7i instances and beyond, unlock even greater performance gains.
In this post, we’ll explore how these cutting-edge processors can enhance your OpenSearch workloads and help you lower your total cost of ownership (TCO).
Expected Title
Save costs on your OpenSearch clusters by using Intel AVX512 optimizations for Binary Vectors
Describe the blog post
As data continues to grow at an unprecedented rate, optimizing vector search pipelines has become more critical than ever. Binary vectors play a vital role in this regard, offering significant performance advantages in use cases where speed and reduced storage requirements are essential. The OpenSearch Vector Engine has supported binary vectors through the FAISS engine since version 2.16. Now, we’re taking this capability even further by leveraging advanced CPU instructions from the AVX-512 instruction set, available on Intel Gen4 and newer processors. These processors, available in AWS’s r7i instances and beyond, unlock even greater performance gains.
In this post, we’ll explore how these cutting-edge processors can enhance your OpenSearch workloads and help you lower your total cost of ownership (TCO).
Expected Title
Save costs on your OpenSearch clusters by using Intel AVX512 optimizations for Binary Vectors
Authors Name
Mulugeta Mammo, Assane Diop, Noah Staveley, Akash Shankaran, Naveen Tatikonda, Vamshi Vijay Nakkirtha, Dylan Tong
Authors Email
[email protected], [email protected], [email protected], [email protected], [email protected], [email protected], [email protected]
Target Draft Date
03/14/2025
Blog Post Category
technical, partners, community
Target Publication Date
03/21/2025
Additional Info
No response
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