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.
AI infrastructure News
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August 13, 2018
13
Aug'18
O'Reilly machine learning survey: Enterprises aim for maturity
A new survey finds companies are using fairness and bias as metrics to evaluate the success of a machine learning model.
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July 31, 2018
31
Jul'18
Google's Edge TPU breaks model inferencing out of the cloud
Google's Edge TPU is a force multiplier to compete against the likes of Amazon, IBM and Microsoft, and to attract next-gen app developers.
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June 14, 2018
14
Jun'18
Quantum computing applications creep forward
Tech vendors and users are moving forward on quantum computing tools and research. While still futuristic, developments bear watching, Forrester's Brian Hopkins says.
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May 18, 2018
18
May'18
New Intel toolkit OpenVINO supports deep learning on CPUs
A new developer kit from Intel seeks to lower the bar for doing deep learning on CPUs and other types of chips to extract more intelligence from video.
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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
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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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GPU implementation is about more than deep learning
Simulmedia is using GPU technology to power reporting tools, while eyeing future deep learning applications, helping to justify the cost of the hardware while building experience. Continue Reading
Evaluate AI infrastructure Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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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
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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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AI cybersecurity tools help spot threats before they cause harm
Security pros are increasingly using AI-based cybersecurity tools to stay one step ahead of hackers and minimize vulnerabilities before they can be exploited by bad actors. Continue Reading
Manage AI infrastructure
Learn to apply best practices and optimize your operations.
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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
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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
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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
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.
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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
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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
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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