Cloudera has introduced an important update to its Data Services platform, facilitating the integration of Private AI directly within enterprise data centers.
Organizations now have the capability to operate secure, GPU-accelerated generative AI within their own infrastructures, complete with built-in governance and hybrid portability. This advancement empowers companies to develop and manage sovereign data clouds on their premises, while upholding stringent security and compliance measures.
Cloudera distinguishes itself by providing a unified data lifecycle experience, offering the same cloud-native services on both on-premises infrastructure and public clouds. A major roadblock hindering AI adoption in enterprises has been the challenge of ensuring the safety of sensitive data and intellectual property.
Research indicates that a significant percentage of organizations, specifically 77%, do not have foundational security in place to safeguard critical models, data pipelines, and cloud infrastructure. Cloudera’s recent enhancements directly tackle these risks, enabling businesses to reduce the timeline for transitioning prototypes to production from several months to just weeks.
Key Offerings:
- Cloudera AI Inference Service: Leveraging NVIDIA NIM microservices, this service simplifies the deployment and management of large-scale AI models within data centers, guaranteeing secure and scalable AI inference without the need to share sensitive data externally.
- Cloudera AI Studios: Equipped with low-code templates, this tool allows teams to quickly build and implement generative AI applications and agents on-site.
A Total Economic Impact study conducted by Forrester Consulting found notable efficiency improvements for organizations using Cloudera Data Services on-premises, including an 80% acceleration in workload deployment, a 20% boost in productivity for practitioners and platform teams, and a 35% reduction in total costs thanks to modern architectures. Additionally, hardware utilization rates improved from 30% to 70%, with some organizations reducing their installed capacity by 25-50%.
Industry experts emphasize that companies have previously faced fragmented and complex DIY strategies for on-premises AI deployments. Cloudera’s consolidated, containerized approach simplifies adoption, enhances productivity, and strengthens security. This development signifies a crucial shift in data modernization, moving away from conventional clusters towards cloud-native applications. Cloudera will showcase its new capabilities at the upcoming EVOLVE25 data and AI conferences, further cementing its role as a trusted partner for organizations seeking secure and scalable AI across diverse data environments.
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