Build the right AI factory for your needs: partner for success

An AI factory is an integrated solution that turns data into intelligence repeatedly and efficiently, supporting a wide range of applications from clinicians to enterprise systems. It encompasses data ingestion, model development, training, fine-tuning, inference, monitoring, and continuous improvement. To deliver on its promise, an AI factory requires more than just powerful processors; it demands careful consideration of compute, networking, storage, security, and power management.

According to Thierry Pienaar, HPE Fellow, Vice President, and CTO for HPC and AI Sales, "Without proper architecture, governance, and operational expertise, organizations can't safely leverage their data, take AI into core processes, or turn innovation into durable competitive advantage." The HPE AI Factory with NVIDIA portfolio offers three options to cater to diverse ambitions, operating models, and requirements.

The HPE Private Cloud AI provides a turnkey, on-premises solution for fine-tuning, RAG, and inference workloads with up to 256 GPUs. The HPE AI Factory at-scale caters to model builders, service providers, and large enterprises operating across numerous users, workloads, and GPU resources, offering centralized control and multi-tenancy.

The HPE Sovereign AI Factory adds an extra layer of operational control, data security, and compliance for large enterprises dealing with sensitive information. Each option begins with defining workloads and desired outcomes before selecting appropriate technologies and identifying required resources. The AI factory model ensures that customers can build their AI infrastructure without compromising performance, control, or future growth while partnering with HPE to increase the likelihood of success.