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.

Corporate E-mail Address:
You forgot to provide an Email Address.
This email address doesn’t appear to be valid.
This email address is already registered. Please login.
You have exceeded the maximum character limit.
Please provide a Corporate E-mail Address.
- I agree to TechTarget’s Terms of Use, Privacy Policy, and the transfer of my information to the United States for processing to provide me with relevant information as described in our Privacy Policy.
Please check the box if you want to proceed.
- I agree to my information being processed by TechTarget and its Partners to contact me via phone, email, or other means regarding information relevant to my professional interests. I may unsubscribe at any time.
Please check the box if you want to proceed.

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.
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.
July 31, 2017 31 Jul'17
AI technologies affect all corners of business, IT

Think before you act on artificial intelligence technologies to ensure that your efforts to become a "cognitive business" lead you in the right direction.
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.

Bring yourself up to speed with our introductory content

Tech experts weigh in on the AI hype cycle

AI expectations couldn't be any higher. Read why leading industry experts believe the hype is deserved and what developers can do to deliver on the technology's weighty promise. Continue Reading
Enterprises explore AI voice assistant technology

Intelligent voice assistant devices, so popular among consumers, are starting to make their way into enterprises, but businesses need to be mindful of several challenges. 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

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

GPU databases bring greater parallelism to big data processing

GPU databases offer a new way to process data. 451 Research analyst James Curtis discusses where they fit in big data applications, particularly for parallel processing. Continue Reading
A look at the leading artificial intelligence infrastructure products

The artificial intelligence infrastructure market is young and varied, with enterprise AI vendors offering everything from cloud services to powerful, and expensive, hardware. Continue Reading
Optimizing an artificial intelligence architecture: The race is on

As AI architecture improves and costs decrease, experts say enterprise adoption will go up, spurring yet more innovation and benefits for businesses and AI vendors alike. Continue Reading

Learn to apply best practices and optimize your operations.

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
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