cuVS: Vector Search on the GPU
Project description
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.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
cuvs_cu13-26.4.0.tar.gz
(1.0 kB
view details)
File details
Details for the file cuvs_cu13-26.4.0.tar.gz.
File metadata
- Download URL: cuvs_cu13-26.4.0.tar.gz
- Upload date:
- Size: 1.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.20
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
4ef30a9272333ff407ca9bbadfaf3206961fdc6a3a757efbf67424cc6f9a7df6
|
|
| MD5 |
f66db370ef18574401b64a0151b63bd1
|
|
| BLAKE2b-256 |
4b78f50018a903aa2f421e1be784160bfbcbb465ae17032ea1012e0d25990abc
|
