Deploy in a private cloud with Kubernetes
Was this helpful?
Was this helpful?
Deepomatic can run using the following minimum requirements:
A processor supporting the x86-64 instruction set.
4GB of free RAM.
10GB of storage.
The recommended requirements are however:
A quad core processor supporting the x86-64 instruction set.
8GB of free RAM.
40GB of storage.
NVIDIA GPU accelerators, of the family , , or , with CUDA compute capability 3.0 or more.
Kubernetes version >= 1.10
Additionally, you will need to install additional software depending on the deep learning you may have chosen.
You need to install and .
You need to install .
To deploy on a private kubernetes cluster, you need to get a manifest for your application using .