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InTime is a machine learning software that optimizes FPGA timing and performance. FPGA tools such as Vivado, Quartus and ISE provide massive optimization benefits with the right settings and techniques. InTime has built-in intelligence to identify such optimized strategies for synthesis and place-and-route. It actively learns from results to improve over time, extracting more than 50% increase in design performance from the FPGA tools. For more information about InTime, please visit this page.

Xilinx

1. Please proceed to https://github.com/plunify/InTime-Vivado
2. To optimize designs with InTime on Plunify cloud, please go to https://github.com/plunify/InTime-PlunifyCloud-Tutorial

Intel

1. Please proceed to https://github.com/plunify/InTime-Quartus

Microchip

1. Please proceed to https://github.com/plunify/InTime-Libero