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Accelerating Deep Learning Models on Xilinx VCK5000

Webinar

Available On-Demand

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TO EDIT: Change the class="spacer-3" to any number between 0 (none) and 5 (most) to resize a spacer. Ex. class="spacer-5"
Vertical spacers are responsive and 50% smaller on mobile than on tablet+.
Click the HTML icon in the toolbar above to edit spacer height.
TO EDIT: Change the class="spacer-3" to any number between 0 (none) and 5 (most) to resize a spacer. Ex. class="spacer-5"
Vertical spacers are responsive and 50% smaller on mobile than on tablet+.

Summary


Xilinx 7nm Versal developer card for AI, VCK5000, is now available with one of the highest performance/$ score on the latest MLPerf 1.0 benchmarks. Join this webinar to learn how to directly take your TensorFlow / Pytorch models and accelerate on the VCK5000 card. This session will cover the introduction of three overlays on CNN and NLP application with a demo showing how to get deep learning models running on VCK5000.


Featured Speakers


fan zhang.jpg
Fan Zhang

AI Specialist, Xilinx



Register Now!

Click the HTML icon in the toolbar above to edit spacer height.
TO EDIT: Change the class="spacer-3" to any number between 0 (none) and 5 (most) to resize a spacer. Ex. class="spacer-5"
Vertical spacers are responsive and 50% smaller on mobile than on tablet+.
Click the HTML icon in the toolbar above to edit spacer height.
TO EDIT: Change the class="spacer-3" to any number between 0 (none) and 5 (most) to resize a spacer. Ex. class="spacer-5"
Vertical spacers are responsive and 50% smaller on mobile than on tablet+.