Your turnkey AI Factory for Rapid Development with Hewlett Packard Enterprise

The vast majority of enterprise AI initiatives fail to deliver ROI, not because of a lack of innovation, but due to a significant gap between development and production. This session will explore the “token economics” behind these failures and introduce HPE Private Cloud AI, a turnkey AI factory designed to bridge this gap. We’ll show how this solution simplifies the journey from concept to full-scale deployment and demonstrate its power with a real-world use case: a powerful LLM built for the NBA, empowering you to drive measurable business value from your AI investments.

Mark Seither, Solutions Architect at HPE, introduced Private Cloud AI (PCAI), a turnkey AI factory designed to bridge the gap between AI development and production. PCAI is a fully integrated appliance comprised of HPE hardware, NVIDIA GPUs and switches, and HPE’s AI Essentials software, along with NVIDIA’s NVAI Enterprise (NVAIE). Seither emphasized that this is not a hastily assembled product but the result of long-term development, internal innovation, and strategic acquisitions, positioning PCAI as a unique and compelling solution in the AI market. He highlights the evolution of AI, noting that the current outcomes are so advanced that they are practically indistinguishable from what was once considered far-off science fiction, making it crucial for businesses to embrace and understand its potential.

The speaker also touched on the practical applications of AI, ranging from personalized product recommendations in retail to computer vision for threat detection and anomaly identification. He underscored a key trend he’s observing with his customers: the primary focus is not on replacing employees with AI but on enhancing their capabilities and improving customer experiences. Seither highlighted the challenges companies face in implementing AI, including a lack of enterprise AI strategies and difficulties in scaling AI projects from pilot to production. Data privacy, control, accessibility, and cost-effective deployment methodologies are also significant hurdles.

HPE’s PCAI aims to address these challenges by providing a ready-to-use solution that eliminates the need for companies to grapple with hardware selection, software integration, and driver compatibility. Offered in different “t-shirt” sizes, including a developer system, PCAI is designed to cater to various needs, from inferencing to fine-tuning. The goal is to empower data scientists to start working on AI projects from day one, focusing on differentiated work that directly impacts the business rather than on the complexities of setting up the AI infrastructure.