Today at The AI Conference in San Francisco we announced the Intel AI DevCloud, a cloud hosted hardware and software platform available to developers, researchers and startups to learn, sandbox and get started on their Artificial Intelligence projects. Intel® Academy members can gain free access to the DevCloud powered by Intel® Xeon® Scalable Processors for their machine learning and deep learning compute needs. The DevCloud will be live in October and you can pre-register today here.

We also announced we’re setting up an AI Center of Excellence with Tata Consultancy Services. This new AI CoE will be equipped with the latest technologies and experts to assist Intel® AI Academy members, including developers, data scientists, students, professors, and startups, in developing AI solutions.

Last November we launched the AI Academy and the response has been strong. We’re already approaching 50,000 academy members, delivering workshops at 100s of universities and have trained 25,000 students and developers this year. The new DevCloud and CoE will enable us to expand the Academy impact globally bringing AI technology and expertise to developers around the globe.


Intel® AI DevCloud

Frequently Asked Questions

 

Where do I go to get access to the Intel® AI DevCloud?

You can preregister for the DevCloud here.

 

Who can sign up to use the Intel® AI DevCloud?

Developers, data scientists, professors, students, start-ups and others who are members of Intel® AI Academy are eligible to request access.

 

How do I become a member of the Intel® AI Academy?

You can join the AI Academy by requesting access to the DevCloud here or you can become a member by registering here.

 

What is the Intel® AI DevCloud?  

The DevCloud is a cluster of Intel® Xeon® Scalable Processors that will assist you with your machine learning and deep learning training and inference compute needs. It provides access to precompiled software optimized for Intel® architecture on Intel® Xeon® Scalable Processors. It includes:

When you gain access to the DevCloud, you will log into a Linux-based head node of a batch farm. There you can stage your code and data, compile, and submit jobs to a queue. Once the queued job completes, your results will be in your home folder.

  • Jobs are scheduled on Intel® Xeon® Scalable Processors.
  • Each processor has 24 cores with 2-way hyper-threading.
  • Each processor has access to 96 GB of on-platform RAM (DDR4
  • Only one job will run on any processor at a time.
  • You will get 200 GB of file storage quota.
  • Your home directory is not visible to other users.
  • Once your access period expires, your home directory on the cluster will be deleted.

When can I start using the Intel® AI DevCloud?

You can currently preregister for the DevCloud. It will be fully accessible in October 2017. If you preregister, you will receive an email from us notifying you the DevCloud is available for use.

 

How long can I get access to the Intel® AI DevCloud?

Access is provided for 4 weeks which can be extended upon your project needs.

 

Why would I use the Intel® AI DevCloud?

The DevCloud provides resources for your machine learning and deep learning training and inference compute needs. It is an easy way for you to get started without making any investment in compute resources.

 

I don’t live in the United States. Can I still apply to use the Intel® AI DevCloud?

The DevCloud is available to all members of the Intel® AI Academy. You can access DevCloud from any country.

 

How much do I have to pay to use the Intel® AI DevCloud?

Nothing. It is free to the members of Intel® AI Academy. Joining the AI Academy is also free.

 

Where do I get support?

Instructions on how to get support will be provided when you gain access to the DevCloud.