AI Machine Learning : Build – Train – Deploy
- AI Machine Learning Cloud Servers allows you to build, train and deploy Machine Learning Models with ease.
- AI Machine Learning Cloud Servers comes with various Machine Learning Frameworks. It can be scaled instantly for Training and can be Deployed with your existing hosting environment with ease.
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Building Machine Learning Models
- AI Machine Learning Cloud Servers allows you to create Models for various applications like Forecasting, Classification, Text Processing etc.
- Easy Notebooks allow developers to build, test and debug Models with GUI
- AI Machine Learning Cloud Servers supports various frameworks of your choice like TensorFlow, PyTorch, ApacheMXNet etc.
Training Machine Learning Models
- Training Machine Learning Models requires good computing power based on the Work Load, Training and Test data set size. AI Machine Learning Cloud Servers are AI optimized for better performance. The underlying hardware comes with Hardware Virtualization enabled.
- Easy Notebooks allows you to build Machine Learning Model Kernels, Train and Debug them.
- Intuitive Easy Notebook GUI allows you to install components using pip [ for Python, Numpy, Scikit etc ], so that you don’t have to depend on a System Administrator.
Deploying Machine Learning Models
- Deploying a well trained Machine Learning Model is the key to successful implementation of AI. AI Machine Learning Cloud Servers allows you to seamlessly deploy your Machine Learning Models with your existing hosting infrastructure with us via public or private networks.
- AI Machine Learning Models are popularly exposed via API to end users. With API Gateways, you can keep your AI Machine Learning Cloud Instances completely isolated by exposing the service alone via API.