Skip to main content

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


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cuvs_cu12-26.2.0.tar.gz (1.0 kB view details)

Uploaded Source

File details

Details for the file cuvs_cu12-26.2.0.tar.gz.

File metadata

  • Download URL: cuvs_cu12-26.2.0.tar.gz
  • Upload date:
  • Size: 1.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.10.19

File hashes

Hashes for cuvs_cu12-26.2.0.tar.gz
Algorithm Hash digest
SHA256 511e59f004bc43a1c84d827b3bf607698ec3f465bcbd1aecc7ce131ed5ec0853
MD5 916773ca631ab4b1edfafef724b40e64
BLAKE2b-256 31fd7e881d4b9271f079d52ca29a069be290002f2c66b37e9a186b822ea911db

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page