Hewlett-Packard Enterprise (HPE) has introduced its HPE Private Cloud AI solution to the Indian market, designed to empower enterprises to build and scale generative and agentic AI applications more efficiently. This all-in-one, self-service AI cloud platform significantly shortens the cycle from experimentation to real-world deployment.
The platform combines HPE’s robust compute and storage infrastructure, including the HPE GreenLake cloud, with NVIDIA’s cutting-edge AI computing, networking, and software suite. This synergy provides enterprises with a simplified, unified interface for managing AI workloads across hybrid environments, enabling full lifecycle oversight, advanced observability, and intelligent resource management through AIOps capabilities.
According to Som Satsangi, Senior Vice President and Managing Director, HPE India, “As a key offering within the NVIDIA AI Computing by HPE portfolio, this turnkey solution streamlines the complexities of AI deployment and operations. It enhances speed, reliability, and security for enterprise innovation.”
A major upgrade includes integration with the newly launched NVIDIA AI Data Platform, which enables continuous transformation of enterprise data into real-time, actionable insights. With NVIDIA’s accelerated computing power and AI software combined with HPE’s infrastructure, businesses can unlock seamless data processing to support AI-driven decision-making.
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The latest iteration of HPE Private Cloud AI also introduces a new development environment equipped with NVIDIA’s high-performance computing technology. This setup features an integrated control node, a full AI software stack, and 32TB of built-in storage — offering developers an instant AI-ready workspace.
Another enhancement is the inclusion of HPE Data Fabric Software, which now powers the data lakehouse within the platform. It enables fluid, high-quality access to structured, unstructured, and streaming data from edge to cloud, ensuring AI models are always supplied with relevant, optimised data.
To further streamline adoption, the platform now supports NVIDIA’s pre-validated AI blueprints such as the Multimodal PDF Data Extraction Blueprint and the Digital Twins Blueprint. These ready-to-use templates dramatically reduce deployment time and improve AI performance across complex enterprise scenarios.
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