NVPL Tensor
Project description
NVPL Tensor
The NVPL Tensor library is a component of the NVIDIA Performance Libraries (NVPL), a collection of high performance mathematical libraries optimized for the NVIDIA Grace ARMv9.0-A architecture and future NVIDIA aarch64 CPUs.
These CPU-only libraries have no dependency on CUDA, and are drop in replacements for standard C and Fortran mathematical APIs allowing HPC applications to achieve maximum performance on NVIDIA CPU platforms.
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file nvpl_tensor-0.2.0-py3-none-manylinux_2_26_aarch64.whl.
File metadata
- Download URL: nvpl_tensor-0.2.0-py3-none-manylinux_2_26_aarch64.whl
- Upload date:
- Size: 3.5 MB
- Tags: Python 3, manylinux: glibc 2.26+ ARM64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/5.0.0 CPython/3.10.12
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
99eb258e9b08a4440123c088c495b0c71dadfc7d816c9fc79bb4cb554d7389e1
|
|
| MD5 |
141d773a5068810ecd42ee912ec6683c
|
|
| BLAKE2b-256 |
77b6c69e15460673591f84cacc81731b7ae094fa08070018dfb0c449781cb54d
|
