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Link to Best Practices for Deploying and Scaling Industrial AI

Best Practices for Deploying and Scaling Industrial AI

Artificial Intelligence (AI) is transforming industrial operations, helping organizations optimize workflows, reduce downtime, and enhance productivity. Different industry verticals leverage AI in unique ways.

Link to The Center for Adaptive Edge Intelligence

The Center for Adaptive Edge Intelligence

Adaptive edge intelligence brings real-time decision-making to the point of data creation, whether from sensors, machines, or cameras.

Link to The Value of Vehicle Electrification

The Value of Vehicle Electrification

Electric vehicles (EVs) present automakers with many design, engineering, and manufactu ring challenges.

Link to Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT

Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT

Digital transformation is empowering industrial organizations to deliver sustainable innovation, disruption-proof products and services, and continuous operational improvement.

Link to Smart Manufacturing for Automotive

Smart Manufacturing for Automotive

Leading a transportation revolution in autonomous, electric, shared mobility and connectivity with the next generation of design and development tools.

Link to Center for Data Pipeline Automation

Center for Data Pipeline Automation

As businesses become data-driven and rely more heavily on analytics to operate, getting high-quality, trusted data to the right data user at the right time is essential.

Link to Center for Automated Integration

Center for Automated Integration

The goal of automated integration is to enable applications and systems that were built separately to easily share data and work together, resulting in new capabilities and efficiencies that cut costs, uncover insights, and much more.

Link to Continuous Intelligence: Insights

Continuous Intelligence: Insights

Digital transformation requires continuous intelligence (CI). Today’s digital businesses are leveraging this new category of software which includes real-time analytics and insights from a single, cloud-native platform across multiple use cases to speed decision-making, and drive world-class customer experiences.
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Artificial intelligence technologies

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Intel Expands AI, Analytics Hardware Portfolio

Intel Expands AI, Analytics Hardware Portfolio

3D Rendering Conceptual image of Internet server room and or super computer network

The new offerings aim to enhance built-in AI acceleration and software optimizations within processors used in data center and edge solutions.

Written By

Jun 29, 2020

Intel has extended its hardware portfolio for AI and analytics, with the launch of its 3^rd gen Intel Xeon Scalable processors, updated persistent memory, and SSD solutions.

The Xeon Scalable is the “first mainstream server processor” with built-in bfloat16 support, according to Intel. “This delivers up to a 1.93X increase in training performance, accelerating time to model deployment and making more frequent re-training practical to keep AI systems up to date,” said Lisa Spelman, Intel vice president and general manager.

SEE ALSO: Intel, Microsoft Use Deep Learning To Detect Malware

“The ability to rapidly deploy AI and data analytics is essential for today’s businesses. We remain committed to enhancing built-in AI acceleration and software optimizations within the processor that powers the world’s data center and edge solutions,” she added.

Intel also announced the Stratix 10 NX FPGA and two specialized hardware accelerators optimized for AI deployment. With this, Intel is almost able to offer the full hardware stack to data centers, but it is missing a crucial piece.

That missing piece is a GPU to compete with Nvidia. In the announcement video, Intel highlighted the GPU as “in development”, but did not provide a timeline on when it was expected to launch.

The GPU is seen as the most important piece for many AI-driven tasks, including self-driving cars. Nvidia is far ahead of all competition in this area, and Intel may struggle to break into the market because of its lateness, as we saw with mobile.

David Curry

David is a technology writer with several years experience covering all aspects of IoT, from technology to networks to security.

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