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-cu13 26.10.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| cuvs_cu13-26.10.0-cp311-abi3-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl | CPython 3.11 | abi3 | Linux glibc 2.28+ x86-64, Linux glibc 2.24+ x86-64 | Details |
| cuvs_cu13-26.10.0-cp311-abi3-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl | CPython 3.11 | abi3 | Linux glibc 2.24+ ARM64, Linux glibc 2.28+ ARM64 | Details |
Total release size: 3.1 MB
Release files / cuvs_cu13-26.10.0-cp311-abi3-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl
| Download URL | cuvs_cu13-26.10.0-cp311-abi3-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl |
|---|---|
| Size | 1.6 MB |
| Tags | CPython 3.11 Linux glibc 2.24+ x86-64 Linux glibc 2.28+ x86-64 abi3 |
|
SHA-256 checksum How to use checksums |
45248ce0f7e46b0a67951735f860223f2dd7bec3c3188a51cdbe1b0841df0606
|
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.8
|
Release files / cuvs_cu13-26.10.0-cp311-abi3-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl
| Download URL | cuvs_cu13-26.10.0-cp311-abi3-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl |
|---|---|
| Size | 1.5 MB |
| Tags | CPython 3.11 Linux glibc 2.24+ ARM64 Linux glibc 2.28+ ARM64 abi3 |
|
SHA-256 checksum How to use checksums |
3f2efbf9b23e7b3f2eae6e9523fc09d3f05dcb22e2b7a02a98951e473fd835ec
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|
BLAKE2b-256 checksum How to use checksums |
42e2fd7a382003dc733b2ef663f5dd3b1ace763c3decc2cbbae8a8635b829828
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.8
|
