Use Case
AI and ML Workloads
Standardize AI/ML infrastructure with reference architectures that are easily deployed and meet security, compliance, and policy requirements.
Deliver consistent repeatability for dependable results and eliminate shadow IT
Every organization on the planet is looking to how they can take advantage or take control of AI/ML as it infiltrates every aspect of their business. However, rolling out AI/ML infrastructure consistently with an ever changing set of requirements can take valuable time off the clock when teams need to iterate quickly.
Upbound uses managed control planes to provide a platform that offers easy, consistent deployment of AI/ML infrastructure and services for developers and ML engineers. This way they don’t have to worry about failed deployments, compliance, or security concerns. By standardizing on a flexible platform with API abstractions there is no need for shadow IT to creep into your environment.
Upbound can help ease your journey to AI/ML maturity.
From data collection and preparation to model deployment and retraining, Upbound can help at all stages of your AI/ML journey. With Upbound, you can not only deploy representative and reproducible infrastructure at the beginning of your project but also new services and applications can be added as needed.
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The future is unfolding at breakneck speed, and Upbound is the catalyst that ensures companies don’t just adapt to these new technologies, but thrive.
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