Enterprise cloud provider Cloudera has unveiled plans to bring its cloud-based data services on-premises.
Unveiled at the company’s Evolve25 event in Singapore, the offering aims to address growing enterprise demand for AI capabilities that can process sensitive data without leaving corporate silos.
The on-premises version of Cloudera Data Services includes GPU acceleration for generative AI workloads, with the vendor touting that it maintains the same feature set as the cloud version, meaning users can run hybrid deployments across both environments.
“This release is a significant step forward in data modernization, moving from monolithic clusters to a suite of agile, containerized applications,” said Leo Brunnick, Cloudera’s chief product officer.
Cloudera’s on-prem product launch comes amid an ever-increasing demand for data sovereignty. Growing geopolitical concerns that foreign governments could access local data has driven businesses in Europe to increasingly prioritize keeping their data within the continent.
Those fears were recently exacerbated when Microsoft's legal director for France admitted under oath that the company could not guarantee that local data would be safe from U.S. authorities accessing it without local consent.
Cloudera’s on-prem launch adds to the growing list of data sovereignty solutions being released of late, with Rackspace, Oracle, and SUSE debuting offerings in the past month alone. The Santa Clara-based vendor, however, touted its offering as being able to protect “the full data lifecycle.”
“Users can significantly reduce infrastructure costs and streamline data lifecycles, boosting data team productivity,” the firm said in a statement.
“They can also accelerate workload deployment, enhance security by automating complex tasks, and achieve faster time to value for AI deployment.”
The on-prem launch provides access to Cloudera’s AI inference service, a serving environment for hosting generative AI systems, and its AI Studio tools for application development.
The vendor said the inclusion of both offerings would help on-prem users build and run AI applications within the security of their own data centers, keeping sensitive data inside their own firewalls.
Among the early users is Bank Negara Indonesia (BNI), the country’s state-owned bank. Toto Prasetio, BNI’s chief information officer, commented: “This technology provides the essential infrastructure to securely and efficiently expand our generative AI initiatives, all while adhering to Indonesia's dynamic regulatory environment.”
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