Blog : Vivado

Cloud is shaping EDA like never before. Today, we are releasing the full InTime tool on the Plunify AI Lab platform. Announcing InTime on AI Lab InTime is officially included on AI Lab as one of the tools on the Plunify Cloud eco-system. This combines the cloud’s massive compute power to the ubiquitous of AI Lab platform to benefit more […]

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At the beginning of 2017, we published an article about running “seeds” in Vivado – Who Says You Can’t Use Random Seeds In Vivado?  Although Vivado does not support the “placement cost table” feature, InTime has a feature called “Placement Exploration”, which enables similar behavior without any impact on functionality. In this post, we are going […]

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What is AI Lab? Plunify’s AI Lab is a cloud-based development environment that can be pre-loaded and pre-configured with Machine Learning / Artificial Intelligence (AI) software like CUDA and Caffe.  AI Lab also supports FPGA tools like Vivado and SDSoc. Because of the ubiquity nature of cloud computing, AI Lab’s functions are available for every machine […]

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Plunify’s newest FPGA Expansion Pack for Vivado is the latest addition to a suite of cloud-enabled tools on Plunify Cloud. This tool was created for FPGA designers who have explored and are ready or perhaps have already adopted the cloud. They can relate easily to the following account of a typical customer’s experience. Plunify has been […]

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Today we announce an exciting new partnership with Xilinx to provide on-demand licenses of the best-in-class Vivado Design Suite HLx Editions software on the Plunify Cloud. Plunify Cloud is built upon the largest cloud provider – Amazon Web Services. What you can look forward to under the new Plunify-Xilinx agreement is a cloud-based platform encompassing […]

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The New InTime Since day one, every customer has been hoping that we can magically reduce their designs’ compile times. Sadly, (and for the umpteenth time!) we can’t – that is still the domain of the FPGA tool makers.  However, what we as users can do, is learn how to quickly abandon builds with poor […]

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