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FPGAs to Replace GPUs in AI Accelerators

Software hides FPGA hardware from data scientists and neural network developers, ships with Xilinx Alveo cards that replace GPUs in AI accelerators...

www.ednasia.com, Jun. 30, 2020 – 

AI software startup Mipsology is working with Xilinx to enable FPGAs to replace GPUs in AI accelerator applications using only a single additional command. Mipsology's "zero effort" software, Zebra, converts GPU code to run on Mipsology's AI compute engine on an FPGA without any code changes or retraining necessary.

Xilinx announced today that it is shipping Zebra with the latest build of its Alveo U50 cards for the data center. Zebra already supports inference acceleration on other Xilinx boards, including Alveo U200 and Alveo U250.

Xilinx Alveo U50 Card, intended to replace GPUs in AI Acceleration The latest build of Xilinx' Alveo U50 data center accelerator card now comes with Mipsology's Zebra software for conversion of GPU AI code to run on FPGAs (Image: Xilinx) "The level of acceleration that Zebra brings to our Alveo cards puts CPU and GPU accelerators to shame," said Ramine Roane, Xilinx's vice president of marketing. "Combined with Zebra, Alveo U50 meets the flexibility and performance needs of AI workloads and offers high throughput and low latency performance advantages to any deployment."

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