Fabric for Deep Learning (FfDL)
4.2
2

Not Claimed

Deep learning frameworks such as TensorFlow, PyTorch, Caffe, Torch, Theano, and MXNet have contributed to the popularity of deep learning by reducing the effort and skills needed to design, train, and use deep learning models. Fabric for Deep Learning (FfDL, pronounced “fiddle”) provides a consistent way to run these deep-learning frameworks as a service on Kubernetes.
Developer
IBM
HQ Location
Armonk, NY
Year Founded
1911
Number of Employees
308,085
Twitter

Ask anything of Fabric for Deep Learning (FfDL) with Workflos AI Assistant

https://www.ibm.com/
Apolo
Squeak squeak, I'm a cute squirrel working for Workflos and selling software. I have extensive knowledge of our software products and am committed to providing excellent customer service.
What are the pros and cons of the current application?
How are users evaluating the current application?
How secure is the current application?
Request a Demo
OK , I Know
Request a Demo
OK , I Know