Did you know fewer than 1 in 10 AI projects successfully move beyond the pilot phase into production? Despite 94% of organisations planning to increase their AI budgets over the next 12 months, many remain stuck in the planning stage, hindered by concerns over data security, reputation risks, and a lack of specialised skills.
This document (Accelerate AI success with NVIDIA AI Computing by HPE-a50010931enw) from HPE AI outlines how enterprises can bridge this gap. By combining technology, people, and economics, this joint initiative offers a faster, more flexible path to deploying generative AI applications.
Key highlights include:
- Technology: A full-stack, turnkey private cloud (HPE Private Cloud AI) that delivers a self-service experience while keeping data private and under enterprise control. It supports inference, RAG, and fine-tuning, promising a 2x increase in developer productivity.
- People: MSS are long-term partners of HPE and provide hardware and services to support your implementation, backed by HPE AI’s expertise and additional support throughout the entire AI lifecycle.
- Economic Flexibility Financial sustainability is addressed through HPE Financial Services (HPEFS). Organisations can monetise existing IT investments, stabilise legacy systems using certified pre-owned components which is another of MSS’ specialist services, and adopt innovative as-a-service financing models. This approach avoids massive capital outlays, allowing businesses to start small and scale flexibly. In FY23 alone, over £1.2 million was returned to customer budgets daily through asset upcycling and migration services.
With the majority of generative AI pilots failing to deliver value, NVIDIA AI Computing by HPE and MSS provides the expert guidance, robust infrastructure, and financial agility required to turn AI ambition into tangible business growth.
