INTEL Nervana Platform in Artificial Intelligence Platform

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INTEL Nervana Platform
Online
California, USA
1968
$50BN to $100BN
Enterprise
96 Likes
72 Buyers Negotiating

INTEL Nervana Platform USP

Intel has adopted the acquisitions strategy to strengthen its Artificial Intelligence Platform platform offerings; for instance, it acquired Nervana Systems, an expert in ML capabilities. Apart from the acquisition’s 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. Request INTEL Nervana Platform Pricing to get more information.

Summary

Intel offers the Intel Nervana Platform, which was built to provide the basis for highly optimized AI solutions. The platform is designed to deliver speed and ease in usability. Along with that, it has the Intel Xeon processor and Intel Xeon Phi processor, which comprise technologies and FPGAs, extracted from its Artificial Intelligence Platform, Nervana. Moreover, the Xeon Phi Processor extracts valuable information from large data sets for providing insights into various businesses. It is built to support high-performance computing applications. Intel’s Math Kernel Library and Data Analytics Acceleration Library are used to power the parallel processing capabilities and computing capabilities of its products, Xeon and Xeon Phi processors. The Math Kernel Library was designed to improve the performance of processors using mathematical capabilities. The Data Analytics Acceleration Library enhances the speed of big data analytics. Intel Deep Learning SDK offers a collection of tools created to offer a deep learning framework for developers and data scientists.

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Strengths
  • +13
    Full Time Equivalent
  • +8
    Large Enterprises (Revenue> 500 Million)
  • +11
    Machine Learning
  • +7
    Medium sized enterprises
  • +10
    Natural Language Processing
  • +5
    Per User Basis
  • +6
    Small Enterprise (Revenue< 100 Million)
  • +14
    Subscription / Licensing
  • +12
    Other tools, please specify
  • +10
    Customer Support
  • +11
    Sales Support
  • +9
    Technical Support
  • +14
    Chatbots or Robots
  • +13
    Forecasts and Prescriptive Models
  • +5
    Speech Recognition
  • +6
    Text Recognition
  • +14
    Breadth and Depth of Product Offering
  • +5
    Enhance Customer base
  • +7
    Enhance year on year growth
  • +6
    Focus on Product Innovation
Weaknesses
  • -13
    Articles and Blogs
  • -12
    Email Branding
  • -9
    Mobile Apps
  • -10
    Offlne campaigns
  • -7
    Product Branding
  • -6
    R&D Spend
  • -10
    Brand Recognition
  • -8
    Customer testimonials
  • -8
    Cloud
  • -14
    Managed Services
  • -9
    On-Premise
  • -5
    Professional Services
  • -7
    New Product Launches
  • -6
    Product Upgradation
  • -14
    No. of Innovations
  • -6
    Solutions Offered
  • -12
    Other Support Services
  • -7
    Other Product Features Offered
  • -9
    Other Branding Method(s)
  • -14
    Other Branding Platform(s)

INTEL Nervana Platform Reviews

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Analyst

4
Sep 24, 2019

“Software and Hardware Tools”

Intel powers businesses with powerful deep learning inference acceleration right at the edge, with a range of choices to match the exact performance, cost, and power-efficiency that they require. Its AI helps deliver characters to screens of all shapes and sizes, faster and more efficiently.
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INTEL Nervana Platform 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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