Cloudera has announced the latest evolution of Cloudera Data Services, enabling enterprises to deploy Private AI directly within their own data centres. This enhancement delivers GPU-powered generative AI behind the firewall, addressing one of the biggest barriers to enterprise AI adoption.
The hesitation to embrace AI is often rooted in security concerns. Accenture reports that 77% of companies lack the necessary data and AI security frameworks to protect their models, infrastructure, and pipelines.
The platform now gives organisations a way to reduce infrastructure spend, improve efficiency, and bring workloads online faster. It offers cloud-native scalability while keeping operations securely in-house.
For the first time, Cloudera’s AI Inference Service and AI Studios can run within a private data centre:
- AI Inference Service – Powered by NVIDIA and featuring NVIDIA NIM microservices, this is one of the first offerings to deliver secure, large-scale AI model deployment and management entirely in the data centre.
- AI Studios – A low-code environment that makes the development and deployment of generative AI applications accessible to a wider range of users.
Forrester Consulting’s Total Economic Impact™ study, commissioned by Cloudera, indicates that customers adopting Cloudera Data Services on-premises saw 80% faster workload deployment, 20% greater productivity, and 35% cost savings. Hardware utilisation rose from 30% to 70%, while modernised systems required up to 50% less capacity.
“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.”
“Cloudera Data Services On-Premises delivers a true cloud-native experience on-premises, providing agility and efficiency without sacrificing security or control,” said Leo Brunnick, Cloudera’s Chief Product Officer. “This release is a significant step forward in data modernization, moving from monolithic clusters to a suite of agile, containerized applications.”
“BNI is proud to be an early adopter of Cloudera’s AI Inference service,” stated Toto Prasetio, Chief Information Officer of BNI. “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.”
With Private AI now deployable in-house, Cloudera is enabling a faster, safer path from experimentation to enterprise-wide adoption.
