Cloudera has expanded its AI and analytics stack into on-premises data centres, marking the next phase of its push to support enterprise AI beyond cloud experimentation and into production-grade environments.
The company announced that Cloudera AI Inference and Cloudera Data Warehouse with Trino are now available for deployment within customer data centres. It has also enhanced AI and analytics features in Cloudera Data Visualization, aiming to streamline AI workflows across multi-cloud, edge and on-premises environments.
The move reflects a broader shift in enterprise AI priorities. As organisations move beyond pilots, the focus is no longer simply on where data resides, but on ensuring AI systems have secure, governed and reliable access to that data—wherever it lives. Cloudera’s recent enterprise AI research indicates that nearly half of organisations store critical data within data warehouses, reinforcing the need to enable AI directly in those environments without moving sensitive information outside controlled perimeters.
With Cloudera AI Inference now available on premises and powered by NVIDIA technologies, enterprises can deploy and scale a range of AI models—including large language models (LLMs), fraud detection systems, computer vision and voice applications—inside their own data centres. The solution leverages NVIDIA’s AI stack, including Blackwell GPUs and inference services, to support high-performance, scalable model serving.
By running AI workloads locally, organisations gain tighter control over latency, compliance and data privacy, while also mitigating the unpredictable cost structures often associated with cloud environments. The on-premises model is positioned as particularly suited for steady-state production workloads, where long-term cost management and regulatory requirements are critical.
Cloudera has also made Cloudera Data Warehouse with Trino available for data centre environments. The platform provides centralised governance, security and observability across the full data estate while accelerating analytics access. Integrated AI-driven analytics and visualisation tools aim to help enterprises convert complex datasets into actionable insights without compromising compliance or operational oversight.
Enhancements to Cloudera Data Visualization further extend AI-assisted capabilities. New features include automated AI-generated chart annotations, improved resilience for AI-powered tools, detailed query logging for traceability, and simplified administrative controls to streamline single sign-on and user management.
“These advancements provide our customers with a superior level of control and flexibility,” said Leo Brunnick, Chief Product Officer at Cloudera. “With Cloudera AI Inference, Cloudera Data Warehouse with Trino, and Cloudera Data Visualization all accessible in the data centre, organisations can securely deploy AI and analytics exactly where their most critical data resides.”
The collaboration with NVIDIA underpins the performance layer of the offering. “The value of enterprise data is realised when AI can be securely and flexibly deployed where that data lives,” said Pat Lee, Vice President, Strategic Enterprise Partnerships at NVIDIA. “Our collaboration with Cloudera enables customers to deploy and scale AI inference with control, predictable economics and data centre efficiency.”
With these announcements, Cloudera is reinforcing a hybrid and multi-environment AI strategy—one that positions the data centre not as a legacy footprint, but as a core venue for secure, production-scale AI deployment.