AI infrastructure

Enterprises investing in deep learning platforms need AI infrastructure sufficient enough to synthesize a massive amount of data. Here, you'll find the information you need to make decisions about AI-specific compute architectures -- from GPU-packed servers to highly-scalable clustered computing systems built for big data and machine learning applications.

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Free AI Buyer's Guide

We designed this expert guide to help you better understand all of the considerations for building and maintaining the infrastructure and engine that support the initiatives. Plus, learn about the products and players to help you make the best buying decision.

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AI infrastructure News

February 14, 2019 14 Feb'19
IBM Watson OpenScale: AI control, monitoring for any cloud

OpenScale, a new IBM AI product, enables organizations to monitor their AI models. Global services provider KPMG is using OpenScale to help power its own AI monitoring tool.
January 22, 2019 22 Jan'19
New Teradata CEO pursues cloud-based architecture

Cloud architecture, analytics and AI data processing are top innovation priorities for new Teradata CEO Oliver Ratzesberger. He talks about his goals in this Q&A.
January 11, 2019 11 Jan'19
Intel AI chip aims to boost inference for AI users

Adding to the Intel Nervana chip line, Intel and Facebook are expected to launch in the second half of 2019 a new processor designed to speed up inference.
December 26, 2018 26 Dec'18
Hitachi Pentaho integration aims to subdue unstructured data

Hitachi Pentaho data integration presents Hitachi Content Platform as an object-based data lake to send cleansed data to multiple cloud targets.

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AI infrastructure Get Started

Bring yourself up to speed with our introductory content

AI for customer experience powers gains at enterprises

Customer experience is growing more central to enterprises' digital strategies, and AI is increasingly driving much of their engagement and retention efforts. Continue Reading
AI use in healthcare ramps up for app maker Cognoa

Applications of AI in healthcare have been relatively restricted due to regulatory and data challenges, but one startup is finding ways to make AI effective. Continue Reading
GPU cloud tools take complexity out of machine learning infrastructure

While talk of AI on GPUs is abuzz, actually building a machine learning infrastructure remains a dark art. A startup's PaaS is looking to automate parts of the process. Continue Reading

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Evaluate AI infrastructure Vendors & Products

Weigh the pros and cons of technologies, products and projects you are considering.

IBM Think 2019 coverage: Spotlight on data and AI analytics

This guide compiles news, analysis and trend stories from IBM Think 2019 and before the conference, focusing on IBM's AI, advanced analytics and data management technologies. Continue Reading
Countries need national strategy for AI to stay competitive

With the Chinese government funding artificial intelligence at an aggressive pace, the U.S. and other countries are facing substantial pressure to step up their investment. Continue Reading
DataScience.com set to drive Oracle cloud analytics efforts

Oracle's cloud strategy includes machine learning jobs that differ from the usual SQL analytics. The company is turning to its DataScience.com purchase to fill the gap. Continue Reading

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Manage AI infrastructure

Learn to apply best practices and optimize your operations.

Machine learning in production challenges developers' skills

Deploying machine learning models requires an entirely different skill set than developing them, and data scientists and engineering teams need to be ready to bridge this gap. Continue Reading
Threats of AI include malicious use against enterprises

As sophisticated tools become easier to use, enterprises need to protect themselves against AI threats to ensure they do not become the victims of malicious attacks. Continue Reading
Artificial intelligence data storage planning best practices

AI storage planning is similar to the storage planning you're used to: Consider capacity, IOPS and reliability requirements for source data and the application's database. Continue Reading

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Problem Solve AI infrastructure Issues

We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.

AI for accessibility helps people with disabilities

AI for people with disabilities is making a meaningful difference in their ability to navigate the world and participate in all the activities of daily life. Continue Reading
There's time and place for SMBs to adopt SaaS-based ERP

SMBs face many issues when implementing SaaS ERP operations versus on-premises, plus the fact that one size cloud-based ERP platform doesn't necessarily fit all companies. Continue Reading
Make room for AI applications in the data center architecture

For AI applications, the future is now. But implementing artificial intelligence in an enterprise data center presents obstacles for network, storage and compute infrastructures. Continue Reading

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