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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Download: 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, like Amazon, Google, IBM, and 16 more to help you make the best buying decision.
AI infrastructure News
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July 22, 2020
22
Jul'20
Nvidia, University of Florida building AI supercomputer
Nvidia and the University of Florida have teamed up to build what they claim will be the fastest AI supercomputer in academia, capable of hitting 700 petaflops of performance.
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June 26, 2020
26
Jun'20
Bank modernizes with MLflow and Databricks
With Databricks and MLflow, an Argentinian bank modernized its infrastructure, increased customer retention and better managed its machine learning models.
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June 23, 2020
23
Jun'20
Databricks AI in next-generation transportation
Virgin Hyperloop turned to Databricks to horizontally scale out and speed up its processes as it works to create a new form of transportation.
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May 29, 2020
29
May'20
Enterprises should not neglect AI digital transformation
Enterprises should focus on automation to augment their workforces as they recover from the COVID-19 economic downturn, and not lose sight of larger digital transformation projects.
AI infrastructure Get Started
Bring yourself up to speed with our introductory content
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Use of AI-assisted surgery remains limited despite its benefits
While AI adoption to assist with surgeries remains limited, the technology holds great potential to increase quality of care and decrease patient risk. Continue Reading
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artificial intelligence
Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. Continue Reading
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4 main types of AI explained
The emergence of artificial superintelligence will change humanity, but it's not happening soon. Here are the types of AI leading up to that new reality. Continue Reading
Evaluate AI infrastructure Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
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In-depth guide to machine learning in the enterprise
Enterprises are adopting machine learning technologies at rapid rates. In this machine learning guide, we break down what you need to know about this transformative technology. Continue Reading
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Cloud computing for machine learning offers on-demand tools
Automated machine learning and MLaaS tools are now being developed for the cloud, and enterprises need better workflows and infrastructure to successfully integrate the technology. Continue Reading
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AI document processing remains a subtle but powerful use case
Artificial intelligence has found strong use cases in content summarization and document categorization within the medical, marketing and legal fields. Continue Reading
Manage AI infrastructure
Learn to apply best practices and optimize your operations.
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AIoT applications prove the technology's adaptability
The combination of artificial intelligence and IoT has led to better predictive capabilities for devices, informed data storage, and enterprise machine optimization. Continue Reading
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Find out how smart you are about machine learning and AI
Machine learning can help businesses gain powerful analytics value from their data -- but only if it's done right. How much do you know about machine learning and related forms of AI? Continue Reading
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IBM Think 2020: AI, security, COVID-19 news, trends and analysis
News at the IBM Think 2020 digital conference focused on paths to modernization -- including advanced AI and automation -- IoT, hybrid cloud infrastructure and cybersecurity. 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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How to create a data set for machine learning with limited data
A shortage of data for machine learning training sets can halt a company's AI development in its tracks. Turning to external sources and hidden data can solve the problem. Continue Reading
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Serverless machine learning reduces development burdens
Getting started with machine learning throws multiple hurdles at enterprises. But the serverless computing trend, when applied to machine learning, can help remove some barriers. Continue Reading
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Experts discuss pressing data science problems and solutions
Most data science projects end up facing similar problems, such as lack of robustness and data quality issues. In this feature, experts offer tips on how to overcome these challenges. Continue Reading