INTEL Automotive AI

INTEL CORPORATION
Online
California, USA
1968
$50BN to $100BN
79
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INTEL CORPORATION USP

Intel has designed Deep Learning Inference Accelerator (DLIA), an integrated hardware, software frameworks and libraries such as Intel Math Kernel Library for Deep Neural Networks (MKL-DNN) and Caffe, which simplifies the neural-network acceleration for image processing applications. The company has a strong and successful R&D model. They invest approximately 20% of its revenue in R&D every year. Strong and successful R&D model has allowed the company to maintain technology leadership. In addition, the company's strong focus on R&D and product innovation enabled it to enhance the appeal of its portfolio Request INTEL CORPORATION Pricing to get more information.

Summary

Intel Corporation has developed a wide range of AI hardware solutions and platforms, which include Intel Xeon processor, Intel Xeon Phi Processor, Intel Xeon Phi E5 processor, Stratix FPGA, Arria FPGA, Max FPGA, Cyclone FPGA, Enpirion FPGA; Neon platform, Nervana Cloud, Nervana Engine, and Saffron platform

360 Quadrants

Strengths and Weaknesses
  • +8 R&D Spend
  • +7 Expandability of product and service across different applications
  • +12 Breadth and Depth of Product Offerings
  • +14 Focus on Product Innovation
  • +5 Product Branding
  • +13 Product Features and Functionality
  • +6 Variants of products and services as per different applications
  • +9 Target audience and positioning of product & services
  • +10 Accuracy rate of product offered and type of support
  • +6 Product Quality and Reliability
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Top Features

  1. Product Features and Functionality / Expandability of product and service across different applications
  2. Focus on Product Innovation / R&D Spend
  3. Breadth and Depth of Product Offerings / Variants of products and services as per different applications
  4. Product Branding / Target audience and positioning of product & services
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