ARTIFICIAL INTELLIGENCE

Build AI without constraints

With open source, no one faces the uncertainty and complexity of AI alone. Navigate the guesswork, mitigate the risks, and stay in control with AI-enabled tech you already trust. 

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Banco Galicia

Delivering AI insights fast with Red Hat OpenShift

Banco Galicia’s natural language processing solution onboards new customers faster, with 90% accuracy.

See how

This more automated process allowed us to save around 40% in operating costs and be the first in a series of projects using artificial intelligence.

Erico Behmer

Chief Information Officer, Banco Galicia

A holistic AI solution that works on your terms

No single company has an accurate map of the future. The most accurate vision of the future is an open one. Our hybrid cloud approach ensures you’re free to implement AI in any way you choose—whether you need to modernize existing apps or build new ones.

Built on proven open source platforms

Enterprises around the world already trust and rely on our hybrid cloud platforms to work anywhere. And since real-world AI success requires technology that adapts to your business needs and new advancements, those same platforms are at the foundation of our AI offerings—and are now even easier to use. Red Hat Lightspeed infuses gen AI capabilities across our entire hybrid cloud portfolio to simplify AI adoption using the resources you already have, no matter the skill set.

The choice of your own models

There’s no AI model that’s one-size-fits-all. That’s why our philosophy is simple: You choose. Bring your own or select from a curated set of open source models. With Red Hat Enterprise Linux® AI, you have access to the Granite family of open source-licensed LLMs, distributed under the Apache-2.0 license, with model IP indemnification and complete transparency on training datasets. We also work with our partners and the open source community to ensure control over the models you rely on to deliver effective, change-making AI apps in any industry.

Red Hat AI/ML solutions create business value

See how
210%

return on investment

60%

developer time savings1

1 Conway, Sam. Corey, Benjamin. “The Total Economic Impact™ of Red Hat Hybrid Cloud Platform for MLOps.” Forrester Consulting, sponsored by Red Hat. March 2022.

Turkcell reduced AI costs by 70% with Red Hat Openshift

Streamlines one consistent user experience

As constantly evolving AI capabilities bring new layers of complexity, operational consistency across the AI/ML lifecycle is now a must—not a nice-to-have. Red Hat OpenShift AI® streamlines consistency at scale, ensuring teams can work the way they prefer and deploy where they need, with shared access to preferred tools and secure data sources. 

Brings AI to your data (not the other way around)

Your AI models are most successful when trained and fine-tuned with your data—where your data resides. With Red Hat Enterprise Linux® AI, your data stays securely at its source for better control over its use, privacy, and compliance.

Build AI apps your own way

No matter what you have now or what you need next, our AI portfolio is built for it. Bring consistency, choice, and trust to any AI workload—no matter the environment. Because when you’re open to choose your own path, achieving real-world AI success is faster, simpler, and easier.

AI products graphic

Your vendors are your choice

That’s why they’re our partners, too. We work with software and hardware vendors, open source communities, and even competitors to offer a holistic AI solution that you can construct of your own design.

Integrated your tech with ours

Amazon Web Services Microsoft Azure IBM Cloud Dell Technologies NVIDIA Intel

Take the next step

Develop, train, test, and deploy ML across the hybrid cloud (technical brief)

Develop, train, test, and deploy ML across the hybrid cloud (technical brief)

Operational consistency and cloud flexibility simplifies AI adoption at scale.

4 key considerations for implementing AI technology  (checklist)

4 key considerations for implementing AI technology (checklist)

Expanding your use of AI starts with choosing a flexible platform.

Top considerations for building a foundation for generative AI 
(e-book)

Top considerations for building a foundation for generative AI  (e-book)

Ensure ease of adoption and success with an infrastructure foundation you can trust.