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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March 21, 2017 21 Mar'17
IBM's cloud dreams soar on the wings of AI, open source

Hoping to play catch-up with its web services archrivals, IBM has rolled out a raft of products and services fueled by AI and open source.
July 20, 2016 20 Jul'16
The future of AI apps will be delivery as a service

AI systems are generating huge hype right now, which makes it imperative for businesses to understand how the technology can be deployed most effectively.
January 25, 2016 25 Jan'16
Beyond gaming, GPU technology takes on graphs, machine learning

The Blazegraph database runs on graphics processing units to speed graph traversals. Machine learning in the form of Google TensorFlow is also a GPU target.
March 10, 2015 10 Mar'15
It's back to the future for machine learning applications of big data

Machine learning techniques are far from new. What is new, however, is the number of parallelized data processing platforms available for applications of big data.

Bring yourself up to speed with our introductory content

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
Gauge your knowledge of cloud providers' AI technologies

As enterprise interest grows, major cloud providers continue to unveil machine learning and AI services. See how much you know about their offerings with this brief quiz. Continue Reading
AI washing

AI washing is a marketing effort designed to associate brands and products with artificial intelligence, even though the connection may be tenuous or non-existent. Continue Reading

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

CTO Simon Crosby explains edge intelligence, talks AI uses and risks

Edge intelligence is the newborn child of edge analytics and machine learning. In this podcast, CTO Simon Crosby explains the tech and discusses AI uses, data breaches and more. Continue Reading
Designing and building artificial intelligence infrastructure

Building an artificial intelligence infrastructure requires a serious look at storage, networking and AI data needs, combined with deliberate and strategic planning. Continue Reading
Defining enterprise AI: From ETL to modern AI infrastructure

The promise of enterprise AI is built on old ETL technologies, and it relies on an AI infrastructure effectively integrating and processing loads of data. Continue Reading

Learn to apply best practices and optimize your operations.

What are the benefits of a machine learning service?

What is a machine learning service and how does it differ from big data applications? And how can our company benefit from AWS Machine Learning? Continue Reading

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

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