{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/9"}],"enrichment":{"capability":"cuTENSOR is a CUDA library for high-performance tensor operations on NVIDIA GPUs, supporting contractions, reductions, element-wise operations, and mixed-precision compute on tensors up to 64 dimensions.","skillfed_tags":["gpu-acceleration","cuda","tensor-operations"],"use_cases":["Accelerate tensor network simulations and quantum computing workloads on NVIDIA GPUs.","Optimize mixed-precision deep learning operations requiring FP32 inputs with FP16 or BF16 compute.","Perform high-dimensional tensor contractions in scientific computing and machine learning frameworks.","Implement custom tensor operations with just-in-time kernel compilation for domain-specific algorithms.","Execute partial tensor reductions and element-wise operations on large multi-dimensional arrays."],"what_it_does":"cuTENSOR is NVIDIA's high-performance CUDA library for tensor operations on GPUs. It provides optimized implementations of tensor contractions (including just-in-time kernel compilation), reductions, and element-wise operations, with support for mixed-precision compute (FP64 input with FP32 compute, FP32 input with FP16/BF16/TF32 compute) and tensors up to 64 dimensions. It handles arbitrary data layouts and supports operations like tensor permutations, type conversions, and various activation functions.\n\nThe package is distributed as platform-specific wheels for CUDA 12 on x86_64, aarch64, and Windows. It has no Python runtime dependencies and is actively maintained. Installation requires CUDA 12 and an NVIDIA GPU; it cannot run on CPU-only systems.","worth_installing":"Yes, if you have CUDA 12 and an NVIDIA GPU and need high-performance tensor operations. The package is actively maintained, has no security vulnerabilities, and fills a specialized role in GPU-accelerated computing. The proprietary license and CUDA 12 dependency are the main constraints\u2014verify licensing terms for your use case and confirm CUDA 12 availability before installing."},"id":"cutensor-cu12","links":{"html":"https://skillfed.io/packages/cutensor-cu12","md":"https://skillfed.io/packages/cutensor-cu12.md","pypi":"https://pypi.org/project/cutensor-cu12/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-06-15","license_spdx":null,"license_treatment":"unclear","name":"cutensor-cu12","python_support":"unspecified","summary":"NVIDIA cuTENSOR"},"popularity":{"monthly_downloads":82929,"position":14120,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2.7.0"}