INTEL Nervana Platform in Artificial Intelligence Platform

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Intel

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Intel has used acquisitions to bolster its Artificial Intelligence Platform products; for example, it recently bought Nervana Systems, a company that specializes in machine learning skills. Apart from the acquisition approach, the corporation is claimed to be making capital investments in companies like AEye, Element AI, and CognitiveScale to drive AI innovation. Furthermore, the company has made investments in startups to improve the technological capabilities of its AI platform. Apart from acquisitions and investments, the company partnered with Tata Consultancy Services to develop AI, IoT, cloud, and 5G architecture. Intel is attempting to maintain a competitive position in AI platform technologies such as deep learning, neural networks, and machine learning (ML) by employing such techniques.

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Summary

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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Pricing

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Features

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.

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Intel Presence in Artificial Intelligence Platform
To strengthen its AI platform offerings, the company has adopted the acquisitions strategy; for instance, it acquired Nervana Systems, an expert in ML capabilities. Apart from the acquisitions strategy, the company is also said to be making capital investments to accelerate the AI innovation in companies, such as AEye, Element AI, and CognitiveScale. Moreover, the company has made investments in startups to enhance its AI platform’s technological capabilities. Apart from acquisitions and investments, the company formed a partnership with Tata Consultancy Services to build the architecture for AI, IoT, cloud, and 5G. With such strategies, Intel is trying to sustain in a competitive position in the AI platform technologies, such as deep learning, neural networks, and ML. Moreover, to enhance its product offerings, the company focuses on the upcoming Intel Nervana ASIC (Application-Specific Integrated Circuit) engine, designed to enhance the deep learning capabilities of neural networks. Moreover, the engine helps in speeding up the process of AI training.
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