Hewlett-Packard Enterprise (HPE) has launched its HPE Private Cloud AI solution in India, aimed at helping businesses efficiently develop and scale generative and agentic AI applications. This comprehensive, self-service AI cloud platform significantly accelerates the transition from experimentation to practical implementation.
The platform integrates HPE’s powerful compute and storage capabilities, including the HPE GreenLake cloud, with NVIDIA’s advanced AI computing, networking, and software tools. This collaboration offers enterprises a streamlined, cohesive interface for managing AI workloads in hybrid settings, facilitating complete lifecycle management, enhanced observability, and smart resource allocation through AIOps features.
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 key enhancement is the integration with the newly unveiled NVIDIA AI Data Platform, which allows for the ongoing transformation of enterprise data into real-time, actionable insights. By combining NVIDIA’s accelerated computing and AI software with HPE’s infrastructure, organizations can achieve seamless data processing to enhance AI-driven decision-making.
The latest version of HPE Private Cloud AI also features a new development environment that incorporates NVIDIA’s high-performance computing technology. This environment includes an integrated control node, a comprehensive AI software stack, and 32TB of built-in storage, providing developers with an immediate AI-ready workspace.
Additionally, the platform now includes HPE Data Fabric Software, which powers the data lakehouse, enabling smooth, high-quality access to structured, unstructured, and streaming data from edge to cloud. This ensures that AI models consistently receive relevant and optimized data.
To facilitate easier adoption, the platform supports NVIDIA’s pre-validated AI blueprints, such as the Multimodal PDF Data Extraction Blueprint and the Digital Twins Blueprint. These ready-to-implement templates significantly reduce deployment time and enhance AI performance across complex enterprises.
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