New! Enhanced HPE Morpheus Enterprise Software Kubernetes capabilities - automated integration with HPE KVM-based hypervisor (HVM), autoscaling, and a streamlined approach to full lifecycle management. Get details here! #HPEDEV https://t.co/Q4KNwj5mt6
In this #HPEDEV blog post, we examine 2 predominant architectural methods for addressing increasingly long inference sessions management - a more & more common AI problem. https://t.co/xGyLpIL8m1
The open-source Chapel project has served as the foundation for exceptional endeavors - but needs your help to continue. If you have funding or creative ways to sustain the project, please reach out! Find details of what's needed and how to connect: https://t.co/2VmzQUzNvY
Done right, webhook security protects your integrations, customers, & data. With GreenLake webhooks, the building blocks are there - just wire them to your needs. Learn more in this #HPEDEV blog post. https://t.co/qQmPV5oSj2
Using the tools in HPE AI Essentials, you can create a powerful ecosystem for transforming natural language queries into actionable insights. Learn how in this #HPE Dev blog post. https://t.co/2aS3gRurDC
In Part 3 of our series on HPE OpsRamp observability, 2 tools are introduced that help you test the entire signal pipeline - from emission to storage to query - before a single line of agent code runs. Read this #HPEDEV tutorial to learn how! https://t.co/RW5yfXhiB2
Shift from scripts to conversations in your storage management practices by redefining storage operations with AI and MCP. Learn more about it in this #HPEDEV blog post. https://t.co/y407NMDjzO
Introducing Dagster - an asset-oriented framework that augments the HPE Private Cloud AI tool stack without replacing any component, reinforcing data protection and supporting strict data sovereignty requirements. #HPEDEV https://t.co/toy7XWIuMt
Excited to learn more about HPE OpsRamp for observability? In Part 2, we show you how to build a running stack that you can interact with through 5 different browser UIs & develop a smoke test that validates every component automatically. #HPEDEV https://t.co/oClf0NvCZj
Join our next #HPEDEV Meetup to learn more about how HPE OpsRamp Process Automation helps you automatically run tasks related to platform events. Join us on May 20 8am PT/11am ET/5pm CET to learn more & watch the demo. https://t.co/4kEB8Z5oeq
After 30 years, why has HPC programming remained largely the same? Discover insights on hardware, languages, and the future of scalable parallel computing in this @Chapel_Language blog post. #HPEDEV https://t.co/OOiR9TlcjA
From icing wings to turbulent flows at takeoff, meet the Ph.D. students pushing CFD forward with @ChapelLanguage in the CHAMPS framework. #HPEDEV https://t.co/gjyeyrWEti
Struggling with TPM clears or orphaned appaccounts? Don’t panic. ilorest appaccount create silently cleans orphaned iLO entries and recreates the token in TPM. Full walkthrough + examples in this #HPEDEV guide: https://t.co/WQH36vAIBq
AI hallucinations, incorrect answers, unreliable agents, and non-deterministic behavior originate upstream in how data is stored, curated, versioned, refreshed and retrieved. Get further insights here: #HPEDEV https://t.co/rNFggm3U4E
Want a platform that's truly observable, not just monitorable? Check out Part 1 of this 4 part series exploring how HPE OpsRamp serves as a universal observability backend using OpenTelemetry. https://t.co/6XqzmD5ap3
From practical AI tutorials related to HPE Private Cloud AI to guides on using HPE Morpheus Software and iLOrest and virtual meetups showcasing NetOps with PyCentral - its all here in the April #HPEDEV newsletter https://t.co/NKl4eCuCrs
Operationalize AI workloads while maintaining full control over data, performance, & model lifecycle management using S3-based model storage and vLLM in HPE Private Cloud AI. Learn how: #HPEDEV https://t.co/BQO0OWm5er
Why Chapel matters for GPU work: many features are written in @ChapelLanguage itself, so researchers can prototype, extend, and optimize end‑to‑end in one language. Akihiro explains how that unlocked portable GPU acceleration. #HPEDEV https://t.co/zaiWWdnVzO