Bitfusion Flex Announces Support for Xilinx FPGAs on AWS F1 Instances at AI World 2017
Summary
Bitfusion Flex now includes everything one needs to manage AI infrastructure as well as develop, train and deploy deep learning applications across CPUs, GPUs and FPGAs."Application performance demands have increasingly been outpacing Moore’s law in a variety of fields, particularly deep learning and AI.," said Subbu Rama, co-founder and CEO of Bitfusion."Re-configurable chips like FPGAs, can morph to the application at hand, providing immense speedup compared traditional compute architectures.“The momentum behind FPGA acceleration in the cloud is prevalent across many important applications like data analytics, genomics, video processing, and machine learning,” said Andy Walsh, senior director of strategic market development at Xilinx.“Bitfusion Flex will play an important role in enabling developers to infuse machine learning capabilities into cloud-based applications using Xilinx FPGA acceleration.”
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