About
ACCELERATED DATA SCIENCE
The RAPIDS suite of open source software libraries gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs.
SCALE OUT ON GPUS
Seamlessly scale from GPU workstations to multi-GPU servers and multi-node clusters with Dask.
PYTHON INTEGRATION
Accelerate your Python data science toolchain with minimal code changes and no new tools to learn.
REDUCED TRAINING TIME
Drastically improve your productivity with more interactive data science tools like XGBoost.
Specification
Specification
Package
RAPIDS
You May Also Like
Related products
-

DOCKER
SKU: N/AMore InformationDocker is the de facto developer standard for building and sharing apps that enable simplicity, agility and choice for software development across any infrastructure so that you can get your job done and deploy your applications faster. Docker provides developer-friendly, CLI-based workflow and makes it easy to build, share, and run containerized applications. Even your most complex applications can be containerized. You can build locally, deploy to the cloud, and run anywhere. -

Caffe
SKU: N/ACaffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research (BAIR) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license. Expressive architecture encourages application and innovation. Models and optimization are defined by configuration without ...More Information -

TENSORFLOW
SKU: N/ATensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Easy model building TensorFlow offers multiple levels of abstraction so you can choose the right one ...More Information
Our Customers






























Previous
Next
