Yet, it's not that simple. While GenAI offers great possibilities, enterprises of all sizes must still wrangle with the nuts and bolts of how to structure their virtualised workloads across clouds and on-premises to balance output and costs, while also dealing with how to create a real return on investment (RoI) and not merely convert hype into vapourware.

These are critical challenges, said HPE CTO and EVP/GM hybrid cloud Fidelma Russo. But, she said, it's a challenge HPE has risen to. "HPE has accelerated innovation and delivered the most complete HPE GreenLake portfolio ever."

When it comes to scalable, powerful, efficient server infrastructure, HPE has well proven its chops. The world's number one ranked supercomputer is a HPE unit, and the same engineering smarts and capability goes all the way from here to traditional, and more affordable, on-premises servers.

However, hardware - even super, super powerful hardware - isn't going to get you a GenAI solution; not by itself.

There are other challenges, said Deloitte head of GenAI products, innovation and new businesses Abdi Goodarzi (pictured).

"GenAI interest is at its highest, and the majority of investments happening now are around the business of AI," he said. "Computing, foundational models, and inference."

There are two challenges to businesses, Goodarzi said. The first is, of course, data. "It's the biggest challenge everyone is facing. [For years] the focus was on getting structured data together. Now GenAI says you can marry structured and unstructured data and create some magic out of it and accelerate on value."

"But how do you prepare? Getting the organisation prepared around data is one of the biggest challenges to value out of AI."

The second big challenge, Goodarzi said, is talent. "Your architecture, data science, engineering, the compute stack, your silicon - how it all comes together and is orchestrated to take advantage of the ecosystem - this takes talent, and there's not enough talent."

HPE and Deloitte have announced a partnership, in conjunction with NVidia, that brings the best of all three to give you an entire ecosystem which "reaps the benefits of GenAI," Goodarzi said, versus "GenAI being something people are interested in but which is not productive."

The joint forces of HPE, Deloitte, and Nvidia have released the Deloitte private cloud powered by HPE that forms a "silicon to service concept, powered by an AI factory of practitioners and engineers," he said. "It understands the needs and the demands of organisations and joins those with the power of GenAI. It gives incredible computing, data knowledge, and business processes."

Where the trio see this private cloud as distinct from other cloud-based GenAI options is the raw high-performance computing power it brings, combined with the deep expertise of domain experts who have focused the environment specifically on extracting value out of GenAI.

When it comes to compute there are three key pillars, namely computing power, language models, and inferencing (the part where data is accessed and processed.)

Language models and other foundational elements can come from anywhere - popular GenAI models exist both commercially and in open source forms. However, it is HPE only that can claim it made the world's number one supercomputer. Running on HPE GreenLake, leveraging a private cloud control plane, and using NVidia GPUs, there's plenty of compute and inferencing capability.

That power combines with the business advice and acumen from Deloitte to apply expert guidance on top of the high performance infrastructure. You have the hardware and rapid, responsive inferencing applied to the right data, the right training, and the right tuning.

"Most people are focusing on efficiency improvements, but GenAI can bring far more than this and make the impossible possible," Goodarzi said. "Organisations need to adopt these technologies as fast as possible, building today to reap the benefits tomorrow."

This said, "you can't expect GenAI to take a long time and give a return on investment; it must be a fast deployment," said HVP SVP and COO Hybrid Cloud Hang Tan.

"The Deloitte partnership is not just about tech," said HVE SP and GM private Cloud and Flex Solutions Cheri Williams. "It's phenomenal tech, but how do you transform and change business process to make GenAI useful?"

"We partnered with Deloitte as their expertise is in business processes and ours is infrastructure."

With Deloitte bringing together the HPE and NVidia hardware as well as its GenAI expertise enterprises can now have a quick deployment, instead of spending six to 12 months or longer simply building blocks of hardware, figuring out their models, then wondering if they tuned it properly. Instead, the partnership means you start off on the right foot, ready to run, from the beginning.

Right now companies fall into two camps - those that are innovating, and those that will fall behind and struggle to catch up. The HPE, Deloitte, and Nvidia partnership says it gives you a solid starting point for secure, scalable, efficient, and cost-effective AI in your organisation. Don't spend your time figuring out the hardware when you can instead be focusing on results.

Hear more below from HPE SVP Marc Waters and Deloitte head of GenAI products, innovation and new businesses Abdi Goodarzi.