Hewlett Packard Enterprise is significantly expanding its offering for enterprises building and scaling artificial intelligence factories. Together with NVIDIA, the company is unveiling the next generation of HPE Private Cloud AI, a turnkey infrastructure environment to support advanced AI workloads designed for generative, agent and physical models.
The new solutions are part of a broader trend of industry standardisation of AI infrastructure – from off-the-shelf racks to multi-tenant architectures to the management of physically separated (air-gapped) environments. This is in response to the growing needs of both hyperscalers and model-building companies, as well as public organisations concerned with digital sovereignty.
b-Antonio Neri, president and CEO of HPE, said. – “HPE and NVIDIA provide the most comprehensive approach combining best-in-class AI infrastructure and services, enabling organisations to realise their ambitions and create sustainable business value.”
At the heart of HPE’s offering is Private Cloud AI, a full technology stack based on NVIDIA Blackwell GPUs and a federated architecture that allows GPUs to be flexibly shared between teams and projects. Together with the new HPE Alletra Storage MP X10000 storage system, optimised for unstructured data, the platform is expected to support more than 75 AI use cases.
HPE also focuses on easy deployments: new solutions are prefabricated, verified and ready to go as soon as they are delivered to the customer. Compared to classic build AI environments, HPE’s approach shortens the time to business value, which can be crucial for companies operating in dynamic industries such as financial services or industry.
For organisations with specific requirements, HPE also offers a new line of AI Factories for Sovereigns – AI factories with features that guarantee full control over data and technology, tailored to the realities of government institutions.
Also new to the portfolio are AI factory design and financing services and a try-and-buy programme in Equinix data centres. HPE Financial Services, on the other hand, enables lower entry costs into AI, including through leasing and reusing existing infrastructure.
HPE’s move shows that the era of ‘AI factories’ is entering a phase of consolidation – not just as a technology concept, but as a finished, scalable product. What matters in this race is not just GPU performance, but also ease of deployment, regulatory compliance and flexible funding models.
