Cloudera’s latest release tackles these challenges head-on, enabling businesses to move from AI prototypes to production in weeks instead of months.
With this launch, Cloudera Data Services now extends its benefits directly to enterprise data centers. Organizations can cut infrastructure costs, simplify data lifecycles, and enhance productivity for data teams. The update allows faster workload deployment, improves security through automation of complex processes, and accelerates time-to-value for AI initiatives. Enterprises also gain cloud-native flexibility while keeping operations securely behind their own firewall ensuring scalability without compromising control.
A key highlight of the release is the availability of Cloudera AI Inference Service and AI Studios on-premises previously accessible only in the cloud. These solutions help organizations securely develop and run generative AI applications within their own data center, protecting sensitive intellectual property.
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Cloudera AI Inference Service, powered by NVIDIA, is one of the first on-premises AI inference platforms with embedded NVIDIA NIM microservice capabilities. It enables the streamlined deployment and management of large-scale AI models directly where enterprise data resides, ensuring both speed and security.
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Cloudera AI Studios democratizes AI application development with low-code templates, empowering teams to rapidly build and deploy GenAI applications and agents without deep technical overhead.
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An independent Total Economic Impact™ (TEI) study by Forrester Consulting, commissioned by Cloudera, found that organizations using Cloudera Data Services on-premises achieved 80% faster workload deployment, a 20% boost in productivity for data and platform teams, and 35% cost savings from a modern cloud-native architecture. The study also reported significant operational improvements some enterprises increased hardware utilization from 30% to 70% and reduced required capacity by 25% to over 50%.
“Historically, enterprises have been forced to cobble together complex, fragile DIY solutions to run their AI on-premises,” said Sanjeev Mohan, industry analyst. “Today the urgency to adopt AI is undeniable, but so are the concerns around data security. What enterprises need are solutions that streamline AI adoption, boost productivity, and do so without compromising on security.”
Leo Brunnick, Cloudera’s Chief Product Officer, added: “Cloudera Data Services On-Premises delivers a true cloud-native experience on-premises, providing agility and efficiency without sacrificing security or control. This release is a significant step forward in data modernization, moving from monolithic clusters to a suite of agile, containerized applications.”
Toto Prasetio, Chief Information Officer of BNI, commented: “BNI is proud to be an early adopter of Cloudera’s AI Inference service. This technology provides the essential infrastructure to securely and efficiently expand our generative AI initiatives, all while adhering to Indonesia’s dynamic regulatory environment. It marks a significant advancement in our mission to offer smarter, quicker, and more dependable digital banking solutions to the people of Indonesia.”
