[1] The company provided a full-stack software-as-a-service platform called Nervana Cloud that enabled businesses to develop custom deep learning software.

[5] Neon – which the company said would outperform rival frameworks such as Caffe, Theano, Torch, and TensorFlow[5] – would achieve its performance advantage through assembler-level optimization, multi-GPU support, and use of an algorithm called Winograd for computing convolutions, which are common mathematical operations in the deep learning process.

The Nervana Engine was expected to achieve greater compute density by implementing only those design elements necessary to support deep learning algorithms and ignoring legacy elements specific to graphics processing.

[1] In June 2015, Nervana raised $20.5 million in series A funding led by Data Collective with participation from Allen & Company, AME Cloud Ventures, Playground Global, the CME Group, Draper Fisher Jurvetson, Fuel Capital, Lux Capital, and Omidyar Network.

[3] In January 2020, Intel shut down the development of Nervana in favor of its acquisition of Habana Labs.