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    Home » Cloudera Launches On-Premises Private AI for Enterprise Data CentresSubtitle: Organisations gain secure, GPU-powered generative AI behind their firewall
    Business

    Cloudera Launches On-Premises Private AI for Enterprise Data CentresSubtitle: Organisations gain secure, GPU-powered generative AI behind their firewall

    Sam AllcockBy Sam AllcockAugust 11, 2025Updated:August 12, 2025No Comments3 Mins Read
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    Cloudera, the only company delivering AI to data wherever it resides, has released a major update to Cloudera Data Services, enabling enterprises to run Private AI in their own data centres. The solution offers GPU-accelerated generative AI capabilities with full security controls behind the firewall.

    Concerns about protecting confidential data and proprietary assets continue to slow AI adoption. A recent Accenture report shows that 77% of organisations still lack the core security practices necessary to safeguard AI models, data pipelines, and cloud systems.

    The enhanced platform allows organisations to lower infrastructure expenses, simplify data processes, improve productivity, and deploy workloads faster. This means teams can access the agility of cloud-native architecture within their secure on-premises environment, scaling efficiently without increasing risk.

    The update also marks the first availability of Cloudera AI Inference Service and AI Studios for in-data centre use:

    • AI Inference Service, leveraging NVIDIA acceleration, becomes one of the earliest on-premises offerings to integrate NVIDIA NIM microservices, streamlining deployment and management of enterprise AI models within secure data environments.
    • AI Studios empowers users with low-code templates for quickly building and launching generative AI applications and agents in-house.

    A Total Economic Impact™ report by Forrester Consulting, commissioned by Cloudera, found that organisations adopting Cloudera Data Services on-premises realised up to 80% faster workload deployment, a 20% productivity boost, and 35% cost savings. The study also highlighted increased hardware utilisation (from 30% to 70%) and capacity reductions of 25–50% after system modernisation.

    “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.”

    Cloudera’s innovation helps organisations fast-track secure AI deployment, shifting from concept to operational use in a fraction of the traditional time.

    Sam Allcock
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