Microsoft Leverages FPGAs for Real-Time AI: Page 2 of 2

Microsoft's Project Brainwave is a deep learning platform that uses the flexibility of field programmable gate arrays (FPGAs) to deliver high-performance artificial intelligence.

for running neural networks in data centers and for Google TensorFlow. Google says its TPU has far outperformed both CPUs and GPUs in studies.

Achieving high-powered, energy-efficient, and ultralow-latency performance will be critical as demand for real-time AI applications grows. While devices like collaborative robots can benefit from training-based AI, more dynamic systems like autonomous vehicles, virtual assistants, and smart security and defense systems need to be able to act on the fly and may also need to be easily adjustable. Microsoft currently plans to roll out Project Brainwave via its Azure cloud services, which may end up being a hinderance depending on how readily companies are wiling to jump onto Azure. However, as new solutions continue to emerge on all sides Microsoft's FGPA approach may just be novel and powerful enough to sway potential partners.


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Chris Wiltz is a senior editor at   Design News   covering emerging technologies including VR/AR, AI, and robotics.

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