TensorPort - A smarter way of distributed GPU ML

Machine learning is a complex task and you can do it quickly and simply with the help of effective platform. A platform is needed for effectiveness of machine learning and the ML teams who have to deal with huge amount of data or complex models can easily complete their projects. If you are looking for the most flexible and easy to set up machine learning platform then remember TensorPort is the one you can choose. Within TensorPort, you will work with projects and datasets without managing infrastructure. It will allow you to more focus on high value data problems instead of dealing with complex models.

TensorPort’s distributed infrastructure consists of CPUs and GPUs. You can use multiple data sets under your single project as this platform is enriched with flexibility for experimentation. It is ideal solution for machine learning teams who want to complete their complex projects easily and quickly in less time. In order to access this machine learning cloud platform you can use three different ways involving:

• First, online graphical interface ( Matrix)
• Second, command line interface ( CLI)
• Third, directly through the TensorPort API

TensorPort is designed by the scientists and engineers for the machine learning teams just to reduce distraction, frustration and complications in machine learning works. If you need to deal with TensorFlow projects then TensorPort is an ideal solution will definitely exceed your expectations. Basically, when it’s time to deal with complex projects then you may waste a lot of time on waiting for your local CPU to struggle to train your model. No matter, what your team size is and what are your major needs but if you are dealing with TensorFlow projects then TensorPort is the ultimate platform to enhance your productivity.

It is full featured AI platform provides endless benefits to machine learning teams. Some of its most effective features include:

• Distributed computing
• Reproducibility
• Collaboration
• Flexibility
• Integration
• Model Serving

TensorPort is not only a platform but it is more than this as it helps the machine learning teams in streamlining the TensorFlow projects. It is distributed GPU ML for machine learning teams who are working on complex models. The unique structure of TensorPort is really flexible that is capable of running your experiments at huge scale. No matter, how complex your machine learning projects are but TensorPort is ultimate solution will definitely exceed your expectations. This platform is designed by Good AI Lab in such a way so that everything works smoothly without additional efforts. So, If you need the best and most sophisticated platform to manage TensorFlow projects then only prefer TensorPort.

Carol Davis is an experienced content writer who has written numerous articles on Distributed Machine Learning, Machine Learning Platform, Distributed TensorFlow and much more.