Bitfusion Flex Announces Support for Xilinx FPGAs on AWS F1 Instances at AI World 2017
December 11, 2017
Bitfusion Flex, the world’s most advanced infrastructure management platform for AI, adds support for FPGA deep learning inference on AWS F1 instances
Bitfusion announced today at AI World that Amazon Web Services (AWS) customers can deploy deep learning workspaces and inference on AWS F1 FPGA instances with Bitfusion Flex.
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. Developers and data scientists can develop and train their deep learning models on AWS directly from their laptop as well as deploy inference to Xilinx FPGAs on AWS and scale them without knowing the details of FPGA programming or AWS infrastructure provisioning.
“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. With Bitfusion Flex, AI developers can now take advantage of CPUs, GPUs for development, training of deep learning applications and F1 instances on AWS powered by Xilinx FPGAs for inference deployment right from their laptop, without having to deal with any infrastructure details.”
Bitfusion Flex operates via an intuitive command line interface (CLI) directly from a user laptop. It only takes a few simple steps along with the user’s AWS credentials to get the CLI up and running and to create FPGA workspaces or to deploy inference on AWS F1 FPGA instances.
“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.”
The following video shows how FPGA instances, workspaces, and inference deployments can be created and scaled: https://bitfusion.wistia.com/medias/y6szo3pyw4
AWS customers can go to http://www.bitfusion.io/aws to find out more about Bitfusion Flex on AWS.
Bitfusion was founded with a vision to make at-scale heterogeneous computing accessible to any organization and build the operating system for the next generation computing. The company’s products allow AI developers to cluster, share, scale and manage compute resources to reduce the costs and complexity associated with the AI application lifecycle. Bitfusion has offices in Silicon Valley and Austin, Texas. For more information visit, www.bitfusion.io or follow the company on Twitter @bitfusionio.
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