In today’s digital landscape, organizations can now harness the power of secure, GPU-accelerated generative AI within their own infrastructure. This cutting-edge technology comes with built-in governance and hybrid portability, allowing companies to create and manage sovereign data clouds on premises while upholding strict security and compliance standards.
Cloudera stands out as a trailblazer in the industry, offering a unified data lifecycle experience that seamlessly transitions between on-premises and public cloud environments. One of the biggest hurdles hindering enterprise AI adoption is the imperative need to protect sensitive data and intellectual property. According to Accenture, a staggering 77% of organizations lack the foundational security measures to safeguard critical models, data pipelines, and cloud infrastructure. Cloudera’s latest release directly addresses these risks, empowering organizations to accelerate the prototype-to-production timeline from months to mere weeks.
Key offerings from Cloudera include the Cloudera AI Inference Service, powered by NVIDIA NIM microservices, which simplifies the deployment and management of large-scale AI models in the data center while ensuring secure and scalable AI inference without the need to move sensitive data externally. Additionally, Cloudera AI Studios provides low-code templates for teams to swiftly build and deploy generative AI applications and agents on premises. These innovative solutions are revolutionizing the way organizations approach data modernization, transitioning from traditional clusters to cloud-native applications. Cloudera’s commitment to security and scalability positions them as a trusted partner for businesses seeking to harness the full potential of AI across all data environments.
