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FPGAs? Sure, them too. Liqid pours chips over composable computing systems

Xilinx Alveo cards added to platform list

Liqid has added FPGAs to the list of compute resources its customers can use to compose workload-specific computing systems.

An FPGA (field-programmable gate array) is a flexible compute chip composed of logic blocks, designed to be programmed or configured "in the field" using a hardware description language. They are more versatile than ASICs, which have a fixed function.

Liqid's GRID product involves PCIe-based fabric hardware and Command Center orchestration software. It lets customers dynamically set up or compose CPU-GPU-NVMe storage-NIC combinations for specific workloads. Now FPGAs on Xilinx Alveo cards can be added to that mix, extending the range of workloads covered.


Xilinx Alveo FPGA

A suggested application area is artificial intelligence. Alveo cards contain a Deep Neural Network (xDNN) engine, which is good for machine learning inference. xDNN has been developed to generically execute convolutional neural networks like ResNet50, GoogleNet v1, and Inception v4. Grab a white paper here. ®

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