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April, 2026 The HPE Developer Community Monthly #108 This month, we highlight two practical AI tutorials for HPE Private Cloud AI; deploying LiteLLM and Langfuse for LLM observability and token-level cost tracking, and building a fully self-hosted local LLM pipeline using S3-based model storage and vLLM to support privacy-preserving, scalable enterprise AI. We also feature a guide on using forms in HPE Morpheus Software - enterprise, a security-focused walkthrough for managing application accounts on HPE iLO7+ servers with iLOrest, plus the latest from the Chapel language community, including the Chapel 2.8 release and an interview on GPU support. Don’t miss our upcoming virtual meetup showcasing a Network Operations Spotlight with PyCentral v2. Find all the details in this issue! Visit HPE Developer Community Featured LLM observability & cost management on HPE Private Cloud AI Learn how to deploy LiteLLM and Langfuse together to perform token-level cost tracking, granular tracing, output streaming, and cost analysis of LLMs and AI applications deployed on HPE Private Cloud AI. View the tutorial Local LLM using S3-based model storage & vLLM on HPE Private Cloud AI Build a fully self-hosted, privacy-preserving LLM pipeline to deliver a scalable, cost-efficient, and secure foundation for enterprise AI workloads that doesn’t rely on external APIs or model-hosting services. Follow these steps Community Using forms for cascading dropdown lists on HPE Morpheus Software – enterprise Learn how HPE Morpheus implements cascading drop-down lists using REST-based and plugin-backed Option Lists to add context-aware form fields that reduce error and enforce environment constraints. Read the case study Managing Application Accounts on HPE iLO7 Servers with iLOREST: A complete guide This comprehensive guide walks you through using iLO7 Application Accounts with TPM-stored credentials to enable simpler, more secure automated server management. Get the details Announcing Chapel 2.8 Chapel 2.8 delivers big wins for tooling and performance with an improved Language Server and Linter, a richer debugger, LICM vectorization for arrays, and more! See what's new GPU support through multi-resolution abstractions In this interview, Dr. Akihiro Hayashi explains how Chapel’s multi‑resolution design enabled GPUIterator and GPUAPI for portable CPU+GPU acceleration and energy‑efficient experiments. Read this 7 Questions installment Events Network Operations Spotlight with PyCentral v2 April 8, 2026 8am PT / 5pm CET Join our session to learn more about PyCentral – the Automation Team’s very own Python SDK built to integrate automation with network operations. PyCentral handles authentication, request formatting, and error handling with HPE Aruba Networking Central’s REST APIs while exposing simple Python functions. We’ll share a series of demos showcasing the power of automating network operations with PyCentral. Register now

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