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https://issues.apache.org/jira/browse/SOLR-17892?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18035093#comment-18035093
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Vivek Narang edited comment on SOLR-17892 at 11/3/25 3:43 PM:
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Hey [~ichattopadhyaya], I think you also need to have [these
changes|https://github.com/apache/solr/commit/5b4b21620c12a57f96c9d5e9ed6e0c6ef7a9991d]
committed to the *branch_10_0* and {*}branch_10x{*}.
was (Author: JIRAUSER310879):
Hey [~ichattopadhyaya], I think you also need to have [these
changes|https://github.com/apache/solr/commit/5b4b21620c12a57f96c9d5e9ed6e0c6ef7a9991d]
committed to the *branch_10_0* and *branch_10x* as well.
> Add support for cuVS-Lucene as a pluggable codec in Solr
> --------------------------------------------------------
>
> Key: SOLR-17892
> URL: https://issues.apache.org/jira/browse/SOLR-17892
> Project: Solr
> Issue Type: New Feature
> Components: vector-search
> Reporter: Vivek Narang
> Assignee: Ishan Chattopadhyaya
> Priority: Major
> Labels: pull-request-available
> Fix For: 10.0
>
> Time Spent: 4h
> Remaining Estimate: 0h
>
> This issue proposes adding *cuVS-Lucene* as a pluggable codec in Solr to
> enable GPU-accelerated vector indexing.
> *Background*
> * [cuVS-Lucene|https://github.com/rapidsai/cuvs-lucene] is a new NVIDIA
> project that integrates GPU acceleration into Lucene for vector search.
> * It supports building HNSW graphs on GPUs via the state-of-the-art *CAGRA*
> algorithm.
> * The first official release of cuVS-Lucene is planned for {*}early
> October{*}.
> * At present, artifacts are not yet published on Maven Central. For early
> adoption, development, and testing, SearchScale is publishing temporary
> artifacts to its Maven repository. Once released, official artifacts will be
> available on Maven Central, and the PR will be updated to use the released
> artifact accordingly.
>
> *Usage in Solr*
> This change introduces the ability to configure Solr to use the
> {{*Lucene101AcceleratedHNSWVectorsFormat*}} provided by the cuVS-Lucene.
> Users can opt to use the GPU-accelerated indexing by selecting the
> {{CuVSCodec}} codec, while retaining compatibility with existing CPU-based
> codecs. Documentation will include steps on how to enable and configure this
> format within Solr. Prerequisites includes a
>
> *Testing Strategy*
> * NVIDIA is dedicating GPU resources for testing cuVS-Lucene directly.
> * In Solr’s test framework:
> ** Tests for cuVS-Lucene will be skipped on non-GPU machines.
> ** On GPU-enabled machines, the tests will run fully, validating integration.
> * We are also exploring the possibility of contributing GPU resources to
> Apache Solr’s CI infrastructure for continuous GPU test coverage (to be
> discussed further with the community).
>
> *Benchmarks*
> We will publish benchmark results shortly to demonstrate the performance
> improvements of GPU-accelerated HNSW graph construction compared to CPU-only
> implementations.
> *Motivation for Solr 10*
> Including cuVS-Lucene support in *Solr 10* would highlight Solr’s adoption of
> first-class GPU acceleration, delivering significant performance improvements
> for vector search and positioning Solr as a leader in large-scale AI/ML
> search workloads.
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