Mipsology Zebra neural network accelerating software has been integrated into the latest build of Xilinx’s Alveo U50 FPGA data center accelerator card. The card is a single-slot, low profile form factor passively cooled, adaptable accelerator operating up to a 75 W maximum power limit and can compute convolutional neural networks. It supports PCIe Gen3 x 16 or Gen4 x 8 and has 8 GB HBM2 and Ethernet networking capability. This plug-and-play FPGA solution provides broad application flexibility and longer life for deep learning inference acceleration as a CPU or GPU.
It is suited for both data center and large industrial AI applications including robotics, smart cities, imaging processing/video analytics, healthcare, retail, driver-assist cars and video surveillance.
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To Learn More:
Contact: Xilinx
Headquarters: San Jose, CA, USA
Product: U50 FPGA data center accelerator card
Key Features: 75 W maximum power limit, PCIe Gen3 x 16 or Gen4 x 8, 8 GB HBM2 and Ethernet networking capability.
What Xilinx says:
View more information on the U50 FPGA data center accelerator card.
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