Cloudera announced the expansion of Cloudera AI Inference and Cloudera Data Warehouse with Trino to on-premises environments, empowering customers to harness advanced AI and analytics directly from within their data centres. The company also announced enhanced AI and analytics capabilities within Cloudera Data Visualisation, streamlining AI workflows across cloud, edge, and data centre environments.
As enterprises move from AI experimentation to production, the conversation has evolved: it’s no longer just about where data is stored, but about providing AI with secure, reliable, and governed access to that data, wherever it resides. According to Cloudera’s recent report, The State of Enterprise AI and Data Architecture, nearly half of companies store their data in a data warehouse. By guaranteeing that AI applications can access this data securely, organisations can extract meaningful insights without transferring sensitive information outside of protected environments. This approach helps to minimise security risks, limits compliance exposure, and streamlines operations.
With Cloudera AI Inference, powered by NVIDIA technology, now available on premises, organisations can deploy and scale any AI model, including the latest NVIDIA Nemotron open models—from LLMs, fraud detection, computer vision, voice, and more—directly within their data centres. Accelerated by the NVIDIA AI stack, by NVIDIA Blackwell GPUs, NVIDIA Dynamo- Triton Inference Server, and NVIDIA NIM microservices for high-performance, scalable model serving, Cloudera AI Inference enables secure, governed deployment of AI at enterprise scale, delivering superior cost-efficiency and predictable economics by avoiding the volatile costs of the cloud, organisations gain full control over latency, compliance, and data privacy while ensuring that once AI moves into steady production, long-term costs remain lower and easier to manage.
Cloudera Data Warehouse with Trino – now available in data centre environments – enables centralised security, governance, and observability across the entire data estate while accelerating access to insights. With integrated AI-powered analytics and visualisation, enterprises can turn complex data into actionable outcomes without compromising security, compliance, or operational control.
The enhancements to Cloudera Data Visualisation empower organisations to gain richer insights and streamline AI-driven workflows in the data centre and beyond. These include:
- AI annotation: Instantly generate summaries and contextual insights for charts and visuals, without manual writing, enhancing clarity across your data estate
- Resilient AI features: Robust features now handle transient issues and provide detailed usage analytics for easy monitoring and optimisation
- AI query logging and traceability: Each AI query logs message ID, timestamp, and question for traceability, streamlining transparency and issue resolution
- Simplified admin management: Easily assign admin roles using updated configuration parameters to streamline SSO-based setup by removing hard-coded credentials and manual user promotion
“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 Visualisation all accessible in the data centre, organisations can securely deploy AI and analytics exactly where their most critical data resides. This means enterprises can drive innovation and derive insights without compromising on data security, compliance, or operational efficiency.”
“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, NVIDIA. “Our collaboration with Cloudera enables customers to deploy and scale AI inference using NVIDIA Blackwell GPUs, Dynamo-Triton and NIM microservices, delivering control, predictable economics, and data-centre efficiency.”
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