Cloudera has introduced a new version of its Cloudera Data Services that brings GPU-powered generative AI directly into enterprise data centers. Announced in August 2025, the launch enables companies to deploy advanced AI securely behind their firewalls while maintaining compliance and data sovereignty. With governance and hybrid portability built in, organizations can now run cloud-native AI workflows seamlessly across on-premises and public clouds.

A key highlight is the availability of Cloudera AI Inference Service and AI Studios for internal environments. Previously cloud-only, the inference service now leverages embedded NVIDIA acceleration on-prem, simplifying large-scale AI model deployment. Meanwhile, AI Studios provides low-code templates that speed up GenAI app development, reducing reliance on specialized talent and making AI more accessible to enterprise teams.

Security and privacy have been major roadblocks to AI adoption. Cloudera’s approach ensures that intellectual property and sensitive data remain within enterprise infrastructure, eliminating the risks of moving confidential assets to public clouds. This “Private AI” model gives enterprises both performance and control while reducing operational complexity.

The benefits extend beyond security. A Forrester Consulting study revealed that Cloudera Data Services users saw AI workloads reach value 80% faster, teams gained 20% productivity, and infrastructure costs dropped by about 35%. Hardware utilization improved significantly, with some firms raising efficiency from 30% to 70% while halving capacity requirements.

The platform was unveiled at Cloudera’s EVOLVE25 event in Singapore, where analysts called it a major shift for enterprise AI readiness. Instead of relying on fragmented, in-house setups, businesses can now use a unified, scalable, and secure platform.

By combining sovereignty, flexibility, and efficiency, Cloudera positions itself as the only provider offering consistent cloud-native AI and data services across both on-premises and cloud environments.