The Intel Nervana Platform was created to serve as the foundation for highly optimized AI systems. The platform is designed to be quick and simple to use. It also has the Intel Xeon CPU and Intel Xeon Phi processor, which are technologies and FPGAs derived from its Nervana Artificial Intelligence Platform. Furthermore, the Xeon Phi Processor collects useful data from big data sets in order to provide insights into diverse organizations. It's designed to run high-performance computer programs. The Intel Deep Learning SDK is a set of tools designed to provide developers and data scientists with a deep learning framework.
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Intel has a world-class AI developer ecosystem that includes optimized tools and frameworks for data analytics, classical machine learning, and deep learning. Real-world AI solutions powered by Intel are helping to solve complicated problems, improve processes, and create new worlds.
The Nervana ASIC (Application-Specific Integrated Circuit) engine is intended to improve neural networks' deep learning capabilities. The engine aids in the acceleration of AI training.
The Nervana Engine delivers higher compute density by just implementing design features required to support deep learning algorithms and discarding traditional graphics processing elements.
Nervana's speed advantage is achieved by assembler-level optimization, multi-GPU support, and the usage of the Winograd algorithm for computing convolutions, which are common mathematical operations in the deep learning process.