CUDA

What is CUDA?

A parallel computing platform and application programming interface model,it enables developers to speed up compute-intensive applications by harnessing the power of GPUs for the parallelizable part of the computation.

CUDA is a tool in the Development & Training Tools category of a tech stack.

CUDA Pros & Cons

Pros of CUDA

No pros listed yet.

Cons of CUDA

No cons listed yet.

CUDA Integrations

Chainer, xmake, CuPy, Rubbrband, Replicate and 6 more are some of the popular tools that integrate with CUDA. Here's a list of all 11 tools that integrate with CUDA.

MosaicML Pretrained Transformer

vLLM

Codeium

AICI

CUDA Alternatives & Comparisons

What are some alternatives to CUDA?

TensorFlow

TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.

PyTorch

PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.

scikit-learn

scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.

Keras

CUDA Integrations

Chainer, xmake, CuPy, Rubbrband, Replicate and 6 more are some of the popular tools that integrate with CUDA. Here's a list of all 11 tools that integrate with CUDA.