Optimization of AI algorithms solves challenges at the edge and reduces power in the data center.

AI : Data-Center Deployment
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Power-efficient deployment of AI algorithms at scale presents many challenges.  We specialize in architecture-specific optimization for FPGA accelerator deployment to achieve power-efficient solutions that speed up execution and reduce critical resource use to maximize your return on investments in large-scale compute capacity.

Learn more about FPGA algorithm design for AI data center deployment
AI : Embedded Deployment
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The deployment of AI solutions in resource constrained systems requires highly optimized solutions.  We develop technology for deploying AI in low-power FPGAs that maximize the compute intensive capability within minimum device-scale resource constraints.

Learn more about FPGA algorithm design for AI embedded deployment



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