cuVS
cuVS contains state-of-the-art implementations of several algorithms for running approximate nearest neighbors and clustering on the GPU. It can be used directly or through the various databases and other libraries that have integrated it. The primary goal of cuVS is to simplify the use of GPUs for vector similarity search and clustering.
Metadata
Release files for cuvs-cu11 25.6.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| cuvs_cu11-25.6.1.tar.gz | 1.0 kB | Without provenance | Details for cuvs_cu11-25.6.1.tar.gz |
Release files / cuvs_cu11-25.6.1.tar.gz
| Download URL | cuvs_cu11-25.6.1.tar.gz |
|---|---|
| Size | 1.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
b93c5f8a054a97ed8ad62a749b95a815bac88952a8fd17b6e6a53c03679aada6
|
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BLAKE2b-256 checksum How to use checksums |
8c1de30e57b1a7d284a82d6f2569f30a34209a6ecc55f44441bf8e63cd8852ea
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.10.18
|
Security for cuvs-cu11 25.6.1
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