Intel® FPGAs offer fast to market, scalable, and customizable solutions. Learn more about Intel® technology for AI.
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Learn about how our partners leverage Intel® FPGAs to enable a variety of applications from smart retail to speech recognition.
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While there is no single architecture that works best for all machine and deep learning applications, FPGAs can offer distinct advantages over GPUs and other types of hardware.
The Intel® Vision Accelerator Design with Intel® Arria® 10 FPGA offers exceptional performance, flexibility, and scalability for deep learning and computer vision solutions.
Build high performance computing (HPC) vision applications with integrated deep learning inference.
At the Microsoft Build conference, Microsoft debuted Azure* Machine Learning Hardware Accelerated Models powered by Project Brainwave integrated with the Microsoft Azure* Machine Learning SDK for preview.
The unique architecture of FPGAs can be used to optimize system performance metrics for deep learning applications.
FPGA accelerates face recognition while protecting inference model through data encryption.
Myrtle’s recurrent neural network accelerator handles 4000 simultaneous speech-to-text translations with just one FPGA, outperforms GPU in TOPS, latency, and efficiency.
Corerain’s CAISA stream engine transforms FPGA into Deep Learning Neural Network without HDL coding.
Find technical documentation, videos, and training courses for Intel's AI solutions.