{"id":4371,"date":"2018-11-02T02:26:12","date_gmt":"2018-11-02T02:26:12","guid":{"rendered":"https:\/\/support.plunify.com\/en\/?p=4371"},"modified":"2018-11-08T05:31:59","modified_gmt":"2018-11-08T05:31:59","slug":"full-intime-licenses-on-the-cloud","status":"publish","type":"post","link":"https:\/\/support.plunify.com\/en\/2018\/11\/02\/full-intime-licenses-on-the-cloud\/","title":{"rendered":"Full InTime Licenses on the Cloud"},"content":{"rendered":"

Cloud is shaping EDA like never before. Today, we are releasing the full\u00a0InTime tool<\/a>\u00a0on the Plunify AI Lab<\/a>\u00a0platform.<\/p>\n

Announcing InTime on AI Lab<\/h2>\n

InTime is officially included on\u00a0AI Lab\u00a0as one of the tools on the Plunify Cloud eco-system. This combines the cloud\u2019s massive compute power to the ubiquitous of AI Lab platform to benefit more FPGA designers. You can now optimize any FPGA design on the cloud at your convenience.<\/p>\n

To use InTime on AI Lab is simple. After registering a Plunify Cloud account<\/a>, use the account credentials to log in to\u00a0AI Lab console<\/a> via any machine\u2019s browser. Select InTime (with a Vivado tool) and your preferred server, then you are ready to go! Each new user of Plunify Cloud will enjoy 50 free credits, you may need to add more credits to continue running. Using higher powered servers with more cores (= more concurrent runs) will consume more credits but provide faster turnaround time.<\/p>\n

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Figure 1: Select InTime as a tool on AI Lab<\/p><\/div>\n

\"Cloud-Powered\" InTime<\/h2>\n

The InTime software optimizes FPGA designs based on machine-learning driven explorations<\/a> of synthesis and P&R settings without changing RTL. While this approach preserves the original design, it does require more compute power. After all, there are millions of combinations of FPGA tool settings. To identify the most effective one for a specific design is not an easy task. That is where machine learning steps in - decrease the design exploration space. Another important piece is\u00a0cloud computing<\/a>. InTime can run compilations concurrently, and using cloud computing reduces runtime and speeds up exploration. However, we know that setting up and running a cloud deployment, is not something FPGA design engineers do day-in and day-out. This is where Plunify AI Lab\u00a0platform comes in handy.<\/p>\n

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Figure 2: InTime Optimizes FPGA Designs Using Machine Learning and Cloud Computing<\/p><\/div>\n

Plunify AI Lab<\/h2>\n

One of the aims of the AI Lab virtual environment is to provide convenience for FPGA designers<\/a>. Its\u00a0operation is based on hosting a virtual desktop on a remote cloud server. The user can compile a FPGA design on this virtual desktop with just a browser<\/span>. For the very first time in EDA history, users can access design tools like Vivado on a very basic machine like a\u00a0Chromebook,<\/a>\u00a0anywhere and time.<\/p>\n

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Figure 3: AI Lab Virtual Cloud Desktop<\/p><\/div>\n

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Access the Cloud from Local InTime<\/h2>\n

Last but not least, if you have already installed InTime locally and want to try out the cloud servers, simply set \u201cRun Target\u201d as \u201cPlunify Cloud\u201d<\/a>. The result will be exactly the same as running InTime on AI Lab virtual desktop.<\/p>\n

How to Get Started<\/h2>\n

Register<\/a> a Plunify Cloud account, use the account credentials to log in<\/a> to\u00a0AI Lab via any machine\u2019s browser.<\/p>\n

Subscribe to Plunify Blog<\/h3>\n

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