How to use FPGAs to accelerate deep learning

While deep learning is a hot topic, it is still limited to non-manufacturing production rate speeds.  To go beyond the real-time performance limit of GPUs, a new technology must be considered in combination with deep learning inference models... FPGA processors!  In this October 16 webcast, sponsored by Silicon Software GmbH, let us show you how to take your existing inference models and use FPGAs for accelerated performance and cost-reductions. This webcast will conclude with a Q&A session.

Oct 16th, 2018
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While deep learning is a hot topic, it is still limited to non-manufacturing production rate speeds. To go beyond the real-time performance limit of GPUs, a new technology must be considered in combination with deep learning inference models... FPGA processors!

In this October 16 webcast, sponsored by Silicon Software GmbH, let us show you how to take your existing inference models and use FPGAs for accelerated performance and cost-reductions. This webcast will conclude with a Q&A session.

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