Cloudera Announces Latest Release of Cloudera Data Services with Private AI Capabilities and Enhanced Security Features

Cloudera has released an on-premises version of its Cloudera Data Services, enabling enterprises to build and scale their own sovereign data cloud in their own data center. This version addresses security concerns and accelerates AI adoption by providing GPU-accelerated generative AI capabilities, automated complex tasks, and faster time to value for AI deployment. The release includes Cloudera AI Inference Service and AI Studios, which streamline AI model deployment and management, and democratize the AI application lifecycle, respectively.

Cloudera, Inc. has announced the release of its Cloudera Data Services on-premises, enabling enterprises to build and scale their own sovereign data cloud within their data centers. This version addresses significant security concerns and accelerates AI adoption by providing GPU-accelerated generative AI capabilities, automated complex tasks, and faster time to value for AI deployment [1].

The new release includes Cloudera AI Inference Service and AI Studios, which streamline AI model deployment and management, and democratize the AI application lifecycle, respectively. Cloudera AI Inference Service, accelerated by NVIDIA, is one of the industry’s first AI inference services to provide embedded NVIDIA NIM microservice capabilities. This secure and scalable engine helps deploy and manage the AI production lifecycle right in the data center, where data already securely resides [1].

Cloudera AI Studios on-premises democratizes the entire AI application lifecycle, offering low-code templates that empower teams to build and deploy generative AI (GenAI) applications and agents. This release allows organizations to accelerate AI adoption and securely build and run GenAI applications within the security of their own data center, keeping sensitive intellectual property behind their firewall [1].

The release of Cloudera Data Services on-premises comes as enterprises increasingly seek to address security and governance concerns related to AI adoption. According to Accenture, 77% of organizations lack the foundational data and AI security practices needed to safeguard critical models, data pipelines, and cloud infrastructure [1]. Cloudera’s on-premises solution directly addresses these security and intellectual property risks, allowing customers to accelerate their journey from prototype to production from months to weeks.

This development is also significant for Krutrim, Ola’s AI venture, which has partnered with Cloudera to support large-scale analytics and data lake operations. The partnership aims to enhance operations, improve user experience, and support the development of large-scale data engineering and AI model development, AI training, and inference [2]. The solution will later be offered to other enterprise clients through Krutrim.

In conclusion, Cloudera’s on-premises Cloudera Data Services represent a significant step forward in addressing the security and governance challenges associated with AI adoption. By providing enterprises with the ability to run AI on their own data behind their firewall, Cloudera is helping to accelerate AI adoption and drive innovation across industries.

References:
[1] https://uk.finance.yahoo.com/news/cloudera-data-services-brings-private-010100841.html
[2] https://economictimes.indiatimes.com/tech/artificial-intelligence/olas-ai-venture-krutrim-partners-with-data-lake-software-company-cloudera/articleshow/123162196.cms