NVPL Tensor
The NVPL Tensor library is a component of the NVIDIA Performance Libraries (NVPL), a collection of high-performance mathematical libraries optimized for NVIDIA aarch64 CPUs.
These CPU-only libraries have no dependencies on CUDA or CTK. They are drop-in replacements for standard C and Fortran mathematical APIs, allowing HPC applications to achieve maximum performance on NVIDIA CPU platforms.
Metadata
Release files for nvpl-tensor 0.3.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| nvpl_tensor-0.3.3-py3-none-manylinux_2_26_aarch64.whl | Python 3 | none | Linux glibc 2.26+ ARM64 | Details |
Release files / nvpl_tensor-0.3.3-py3-none-manylinux_2_26_aarch64.whl
| Download URL | nvpl_tensor-0.3.3-py3-none-manylinux_2_26_aarch64.whl |
|---|---|
| Size | 4.3 MB |
| Tags | Linux glibc 2.26+ ARM64 Python 3 |
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