Hewlett Packard Enterprise makes servers (ProLiant), storage (Alletra), networking (Aruba), and GreenLake - its as-a-service hybrid cloud platform. GreenLake lets companies consume HPE hardware as a monthly service, like cloud but on-premises. Its Cray supercomputers power national laboratories and weather forecasting. HPE split from HP Inc. in 2015.
Key relationships in depth
Hewlett Packard Enterprise and Microsoft have a deep integration partnership spanning Azure hybrid cloud, Microsoft 365 management on HPE devices, and joint AI infrastructure offerings. HPE GreenLake integrates natively with Azure Arc, allowing enterprises to manage on-premises HPE hardware and Azure cloud resources through a single control plane. HPE also deploys Microsoft Azure OpenAI Service workloads on GreenLake for customers who require on-premises data sovereignty.
Why it matters: Many enterprise HPE customers run regulated workloads in financial services, healthcare, and defense that cannot be fully migrated to public cloud due to data residency requirements. The GreenLake-Azure integration lets these customers adopt Azure AI tools while keeping sensitive data on HPE hardware, expanding the addressable market for both companies beyond what either could reach alone in regulated verticals.
Hewlett Packard Enterprise (HPE) and NVIDIA have a major AI server partnership through HPE's ProLiant Compute and Cray supercomputer product lines, both of which support NVIDIA H100, H200, and Blackwell GPUs for enterprise and HPC AI workloads. HPE's GreenLake cloud services platform offers NVIDIA-powered AI infrastructure as a service, and HPE Cray EX supercomputers using NVIDIA GPUs are deployed in US national laboratories and hyperscale research institutions.
Why it matters: HPE's Cray supercomputer brand provides NVIDIA access to government and research market segments where Dell is less competitive, and HPE's GreenLake as-a-service model allows enterprises to consume NVIDIA GPU capacity on a subscription basis rather than capital expenditure. NVIDIA benefits from HPE's enterprise and government distribution channels, which give NVIDIA GPU access to procurement paths that favor US-headquartered OEM vendors.
HPE and Google Cloud partner to integrate GreenLake managed services with Google's Distributed Cloud (GDC) platform, which allows Google Cloud AI tools and Kubernetes workloads to run on HPE hardware in enterprise data centers. HPE also resells and co-delivers Google Workspace and Google Cloud AI services to enterprise customers through its global services organization, and joint solutions target AI-accelerated HPC workloads in research and manufacturing.
Why it matters: Google's Distributed Cloud strategy requires certified on-premises hardware partners to reach enterprises that cannot migrate entirely to public cloud. HPE's installed base of hundreds of thousands of ProLiant servers and its GreenLake as-a-service model make it an attractive delivery vehicle for Google to expand its AI and cloud-native development tools into new enterprise segments without building its own hardware supply chain.
HPE and Amazon Web Services partner to deliver hybrid cloud solutions where HPE GreenLake extends AWS services to on-premises enterprise data centers. The AWS Outposts program runs on HPE-certified hardware for customers who purchase pre-integrated solutions, and HPE GreenLake Connect for AWS allows organizations to manage on-premises and AWS cloud workloads through a unified HPE dashboard, reducing operational complexity for multi-cloud enterprises.
Why it matters: AWS captures significant enterprise cloud workloads, but regulated industries and latency-sensitive applications require on-premises processing. By certifying GreenLake as an AWS Outposts delivery platform, HPE allows AWS to extend its cloud-native APIs and managed services to factory floors, hospitals, and government facilities, while HPE retains the hardware and managed services revenue from those deployments.
Relationships are compiled by VexMap from company filings, announcements and reporting, and last reviewed September 2026. Spotted something wrong? Tell us. Not investment advice.