HPE Unveils Private Cloud AI for Instant GenAI Deployment - TECHx Media HPE Unveils Private Cloud AI for Instant GenAI Deployment
HPE Unveils Private Cloud AI for Instant GenAI Deployment
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Hewlett Packard Enterprise (HPE) has announced the immediate availability of HPE Private Cloud AI, a cutting-edge solution designed to streamline artificial intelligence (AI) applications. Developed in collaboration with NVIDIA, this offering is part of the NVIDIA AI Computing by HPE portfolio, enabling businesses to deploy generative AI (GenAI) applications instantly. With full integration of NVIDIA AI computing, networking, and software, along with HPE's AI storage, compute, and HPE GreenLake cloud, the solution provides an energy-efficient, scalable, and flexible platform for AI innovation.
HPE Private Cloud AI introduces new solution accelerators that automate AI deployments, reducing the complexity of integrating AI models, microservices, and data sources. The first accelerator, a GenAI virtual assistant, allows businesses to deploy interactive AI chatbots trained on private data for customer support, sales, and marketing. Another accelerator, a text simplification and summarization tool, helps teams refine and adapt content quickly. These low-code or no-code solutions, powered by NVIDIA NIM™ microservices, shorten AI implementation timelines and enhance operational efficiency.
HPE's latest AI offering includes OpsRamp AI copilot, which improves IT workload management and enhances efficiency through automation. Designed to support diverse AI workloads, HPE Private Cloud AI delivers a self-service cloud experience with full lifecycle management, making AI adoption faster and more accessible. Future solution accelerators will focus on industry-specific AI applications, including financial services, healthcare, retail, and public sector, utilizing NVIDIA NIM Agent Blueprints to continuously refine AI models based on real-world data.
With HPE Private Cloud AI, organizations in the Middle East can now leverage advanced AI capabilities to accelerate innovation while reducing costs and complexity.
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