Posted by Mumbai: Cloudera has announced the latest release of Cloudera Data Services, delivering secure, GPU-accelerated generative AI capabilities directly to enterprise data centres. The update introduces Private AI on premises, allowing organisations to run AI models on their own data behind the firewall, addressing growing concerns over data security and intellectual property protection.
With hybrid portability and built-in governance, enterprises can now build and scale their own sovereign data cloud within their existing infrastructure. Cloudera claims to be the only vendor to offer the full data lifecycle using the same cloud-native services both in the public cloud and on premises.
“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 CPO. “This release is a significant step forward in data modernisation, moving from monolithic clusters to a suite of agile, containerised applications.”
Cloudera’s new offering addresses a key barrier to enterprise AI adoption: the need to keep sensitive information protected. With many businesses lacking the foundational security practices to safeguard models and infrastructure, Cloudera enables faster, more secure AI deployment — reducing time to production from months to weeks.
This release brings two important tools, Cloudera AI Inference Service and Cloudera AI Studios, into the data centre for the first time. These tools were previously available only in the cloud — are designed to support enterprise-scale AI adoption and keeping data secure.
The AI Inference Service, powered by NVIDIA, introduces embedded NVIDIA NIM microservice capabilities, allowing for secure and scalable deployment of large language models where data already resides. Meanwhile, AI Studios enables teams to build generative AI applications with low-code templates, making the AI development process faster and more accessible across the organisation.
“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.”
With this launch, Cloudera aims to help enterprises modernise their data strategies, unlock the value of AI faster, and do so within the secure boundaries of their own infrastructure.