Accelerating Innovation with HPE and SUSE
Secure, Scalable, and AI-Ready Infrastructure
In today's hybrid IT landscape, enterprises require platforms that are secure, scalable, and intelligent - capable of supporting workloads from core data centers to remote edge environments, as well as AI-driven pipelines. HPE, in collaboration with SUSE, delivers a tightly integrated infrastructure stack that empowers organizations to modernize, implement Zero Trust security, and operationalize AI - while retaining centralized visibility and control.
This article highlights six key SUSE technologies - Observability, NeuVector, AI Stack with GPU, SUSE Registry, Application Collections, and Fleet - and their real-world integration with HPE GreenLake, HPE ProLiant, and Harvester platforms.
SUSE Observability at Scale with HPE GreenLake
SUSE Observability combines Prometheus, Grafana, OpenTelemetry, and Alertmanager to provide unified monitoring and insights across distributed Kubernetes workloads.
Use Case: Telecom Edge Monitoring
A global telecom provider deploys 300+ Kubernetes clusters using HPE ProLiant DL325 servers at the edge. By integrating SUSE Observability on RKE2, managed via HPE GreenLake, the provider ensures:
• Real-time monitoring of network latency, pod health, and service availability
• Consistent 99.999% uptime
• SLA compliance through proactive alertingz
Key Benefits:
• Centralized observability via GreenLake Central
• Edge-to-core visibility
• Scalable alerting and incident response
NeuVector: Enabling Zero Trust Security from Core to Edge
NeuVector provides container-native security using deep packet inspection (DPI), runtime threat detection, microsegmentation, and CVE scanning - ideal for highly regulated sectors.
Use Case: Secure Banking Infrastructure
A financial institution runs RKE2 clusters on HPE ProLiant DL385 servers within GreenLake Private
Cloud Enterprise. NeuVector enforces:
• Layer 7 firewalling between microservices
• Pre-deployment vulnerability blocking
• Runtime behavioral enforcement for Zero Trust compliance
Key Benefits:
• Full compatibility with HPE Security Stack (e.g., Aruba ClearPass)
• Supports FIPS 140-2, DoD STIG, and PCI-DSS standards
• Seamless integration with HPE iLO secure firmware stack
• Easy deployment on GreenLake for Private Cloud Enterprise
SUSE AI Stack on HPE: GPU-Powered AI from Edge to Core
SUSE’s AI stack features components like Milvus (vector DB), Ollama (LLMs), and Open WebUI, tailored for GPU-powered AI/ML workloads.
Use Case: Smart Factory Visual Inspection
A manufacturing enterprise utilizes HPE ProLiant DL380 Gen11 with NVIDIA L40S GPUs to run Ollama-based AI models for real-time defect detection. The embedding vectors are stored in Milvus, with the solution running in an air-gapped GreenLake Private Cloud.
Key Benefits:
• Delivered as-a-Service via HPE GreenLake for AI/ML
• Certified with NVIDIA AI Enterprise
• Air-gap support for secure AI pipelines
• GPU observability and lifecycle management
• Edge-ready deployment on Harvester or ProLiant
SUSE Registry: Secure Image Distribution
Based on Harbor, SUSE Registry ensures secure container image lifecycle management with signing, scanning, and access controls.
Use Case: Air-Gapped Defense Infrastructure
A defense customer runs SUSE Registry in an RKE2 cluster on HPE ProLiant DL560 servers, achieving:
• Enforced signed image deployment
• CI/CD-integrated SBOM validation
• Multi-site registry mirroring for continuity
Key Benefits:
• Aligned with DISA, DoD STIG, and FIPS requirements
• iLO-based hardware-level hardening
• Reliable for air-gapped environments
• Compatible with GreenLake for Private Cloud Enterprise
SUSE Application Collections: Curated Helm Charts
SUSE Application Collections offer validated Helm charts for deploying databases, observability tools, AI services, and more—fully supported on Rancher, RKE2, and K3s.
Use Case: EMR System for Healthcare
A hospital group rapidly deploys MySQL, MinIO, and Redis from SUSE’s catalog on RKE2 clusters powered by HPE ProLiant DL365 servers, powering HIPAA-compliant Electronic Medical Records.
Key Benefits:
• Production-ready, validated workloads
• Accelerated time-to-value with reduced setup overhead
• Secure and supported application lifecycle
SUSE Fleet: GitOps for Multi-Cluster Management
SUSE Fleet provides GitOps-native management of thousands of Kubernetes clusters, enabling consistent policy enforcement and application deployment from a single control plane.
Use Case: Smart City Edge Cluster Management
A city government manages 800+ edge clusters across public facilities via SUSE Fleet, using HPE Edgeline and ProLiant hardware, integrated with HPE GreenLake for Edge.
Key Benefits:
• Git-native DevSecOps alignment
• Automated provisioning, upgrades, and rollback
• Manages bare metal, VMs, and Harvester workloads
• Integrated drift detection and compliance enforcement
SUSE Component Platform HPE Integration Observability RKE2 on ProLiant/GreenLake Unified monitoring via GreenLake Central NeuVector Security RKE2 / Harvester on ProLiant Zero Trust with DPI, CVE scans, and runtime protection AI Stack DL385/DL380 with NVIDIA GPUs GPU-accelerated, air-gap and cloud-ready AI workloads SUSE Registry RKE2 + Harbor on ProLiant Secure image delivery, SBOM validation, FIPS/STIG support Application Collections RKE2 on ProLiant/Harvester Helm chart catalog for rapid, secure deployments Fleet (GitOps) GreenLake + ProLiant (Multi-cluster) Centralized GitOps for 1000+ clusters, edge and core
Architecture Design
Technical Architecture Highlights
- End-to-End AI Inference Pipeline
- Input: Multiple video streams feed into a vision model (for visual inspection or anomaly detection).
- Processing: The model runs on Ollama GPU Nodes housed in HPE ProLiant DL380 Gen11 servers with NVIDIA GPUs, optimized for inferencing.
- Output & Querying: Processed embeddings are stored in Milvus (Vector DB)—enabling fast and scalable similarity searches or audit queries.
- High-Performance GPU Infrastructure
- Leverages NVIDIA L40S GPUs in DL380 Gen11 for accelerated compute.
- AI workloads are isolated and optimized for multi-model execution, such as multiple vision models per node.
- SUSE GreenLake + Rancher Control Plane
- GreenLake: Offers IaaS/PaaS-style provisioning with lifecycle management, metering, and cost control.
- SUSE Rancher: Kubernetes orchestration and multi-cluster management across edge, air-gapped, and centralized environments.
- Security and Compliance with NeuVector
- Real-time DPI and runtime enforcement ensures containerized AI workloads are secure.
- Critical for regulated environments like defense, manufacturing, or healthcare.
- Observability Stack with Prometheus
- GPU, node, pod, and application-level telemetry via Prometheus/Grafana
- Ensures SLA compliance (e.g., model latency, inference success rate)
- Support for Air-Gapped and Edge Deployments
- The architecture is self-contained, meaning it can operate without public internet access—ideal for air-gapped sites or OT/IT-converged edge locations.
Strategic/Business Takeaways
- Zero Trust AI Infrastructure
- Combines AI, Zero Trust, and DevSecOps in a tightly integrated manner.
- GreenLake-As-A-Service Model
- Scalable consumption-based pricing with enterprise-grade support, reducing CapEx.
- Enterprise Ready: From Lab to Factory Floor
- Designed for production AI, not just experimentation—suitable for smart manufacturing, autonomous QA, and AI-assisted maintenance.
- Multi-Cluster Scalability with Rancher + Fleet (Implied)
- Architecture allows scaling this pattern to hundreds of sites using Fleet GitOps pipelines for version control and DR strategies.
- Composable & Modular
Any component (e.g., Ollama, Milvus, Prometheus, NeuVector) can be swapped or upgraded without breaking the architecture—ideal for evolving AI needs.
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[Any personal opinions expressed are mine, and not official statements on behalf of Hewlett Packard Enterprise]
