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Deep Learning Accelerator
The NEUCHIPS RecAccel is world’s first recommendation engine for Deep Learning Recommendation Model (DLRM). It can perform 500,000 inferences per second. It is equipped with an ultra-high capacity, high bandwidth memory subsystem for embedding table lookup, and a massively parallel compute FPGA for neural network inference. Running open-source PyTorch DLRM, RecAccel outperforms server class CPU and inference GPU by 28X and 65X, respectively.
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Block Diagram of the Deep Learning Accelerator IP Core
RNN IP
- Fusion Recurrent Neural Network (RNN) Accelerator
- Ultra Low Power Edge AI Processor
- Ultra Low Power Consumption Processor IP for Deep Learning
- EV71 processor for embedded vision applications with a single vector processing unit
- EV72 processor for embedded vision applications with two vector processing units
- Machine Learning Processor