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    Hewlett Packard Enterprise and NVIDIA Unveil End-to-End AI-Native Portfolio for Generative AI

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    Hewlett Packard Enterprise and NVIDIA Unveil End-to-End AI-Native Portfolio for Generative AI

    Hewlett Packard Enterprise (NYSE: HPE) has announced significant updates to its AI-native portfolio in collaboration with NVIDIA at the NVIDIA GTC.

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    Hewlett Packard Enterprise (NYSE: HPE) has announced significant updates to its AI-native portfolio in collaboration with NVIDIA at the NVIDIA GTC. These updates aim to advance the operationalization of generative AI (GenAI), deep learning, and machine learning (ML) applications. The comprehensive portfolio enhancements include innovative solutions and technologies designed to accelerate the development and deployment of AI applications across industries.

    Addressing the Full AI Lifecycle:

    Antonio Neri, President and CEO at HPE, emphasized the hybrid nature of AI solutions required to address the full AI lifecycle effectively. He highlighted the importance of collaborative innovation between HPE and NVIDIA in delivering co-designed AI software and hardware solutions that accelerate the development and deployment of GenAI from concept to production.

    Empowering Enterprises with Generative AI:

    Jensen Huang, Founder and CEO at NVIDIA, underscored the transformative potential of generative AI in driving breakthroughs across industries. He praised the growing collaboration between HPE and NVIDIA, which enables enterprises to leverage their data to develop and deploy new AI applications, ultimately transforming their businesses.

    Supercomputing-Powered GenAI Training and Tuning:

    HPE's supercomputing solution for generative AI, announced at SC23, is now available for organizations seeking preconfigured and pretested full-stack solutions for AI model development and training. Powered by NVIDIA, this turnkey solution supports up to 168 NVIDIA GH200 Grace Hopper Superchips, enabling organizations to accelerate GenAI and deep learning projects with improved time-to-value.

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    About the author

    Anshika Mathews

    Anshika is the Global Media Lead for AIM Media House. She holds a keen interest in technology and related policy-making and its impact on society.

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