Here I found something interesting randomly:

"Dr. Randy Huang, FPGA Architect, Intel Programmable Solutions Group, and one of the co-authors, states, “Deep learning is the most exciting field in AI because we have seen the greatest advancement and the most applications driven by deep learning. While AI and DNN research favors using GPUs, we found that there is a perfect fit between the application domain and Intel’s next generation FPGA architecture. We looked at upcoming FPGA technology advances, the rapid pace of innovation in DNN algorithms, and considered whether future high-performance FPGAs will outperform GPUs for next-generation DNNs. Our research found that FPGA performs very well in DNN research and can be applicable in research areas such as AI, big data or machine learning which requires analyzing large amounts of data. The tested Intel Stratix 10 FPGA outperforms the GPU when using pruned or compact data types versus full 32 bit floating point data (FP32). In addition to performance, FPGAs are powerful because they are adaptable and make it easy to implement changes by reusing an existing chip which lets a team go from an idea to prototype in six months—versus 18 months to build an ASIC.”"


That was from last year.  In fact, more than a year ago.  Bitmain is going after AI.  AI is deeplearning.  Self driving cars.  Recognition software.  Billions of dollars. 

Bitmain is going to eat NVIDIAs lunch.  I would invest in Bitmain if I still was in finance.