In this edition, we introduce using webhooks to subscribe to events on HPE GreenLake cloud. We also start exploring the rise of the distributed enterprise and how it’s affecting compute architectures today in the first of a new blog series.
Our March Munch & Learn offers first-hand insights on how HPE’s Private Cloud for AI provides secure, private access to large language models, helping employees quickly develop and deploy impactful use cases. And our Meetup explores how eBPF (extended Berkeley Packet Filter) can help you improve observability.
We even have more on LLMs and Chapel along with replays of our most recent webinars. Enjoy!
Still polling an API to query audit logs? Learn how using webhooks with HPE GreenLake cloud can provide you with a better, more real-time solution and how to leverage it.
Everyone is getting into AI these days. But how do you control access to data, model performance, and cost? This post explores how running the model in a private, protected environment can provide you with privacy and security guarantees, ensure compliance, improve model performance and quality, and address issues around cost.
Using an example that has helped HPE teams use generative AI to achieve its business goals, this session explains how HPE’s Private Cloud for AI provides secure, private access to large language models, empowering employees to quickly develop and deploy impactful use cases, accelerate innovation, and deliver transformative insights across an organization.
Traditional observability tools can sometimes leave blind spots in performance monitoring, security, and troubleshooting. In this session, we’ll explore how eBPF (extended Berkeley Packet Filter) can help by enabling real-time insights into system behavior, network traffic and application performance. We’ll discuss its advantages, showcase practical use cases, and demonstrate how organizations are using it to gain unprecedented visibility into their infrastructure.
Learn what RAG is and how LLM Agentic Tool Mesh handles it. Delve into RAG services and view an example of an agentic tool using RAG in this post.
Explore the system services of this open-source project, including the Tool Client and Tool Server services, and how to build a mesh of LLM agentic tools.
Review this year’s conference workshop presentation where DragonHPC was highlighted as part of a special workshop on High Performance Python for Science at Scale.
Have you ever wanted to create tools that parse and analyze Chapel programs? The Python-based Chapel compiler front-end library makes it easy to leverage the compiler to do so.
Check out this interview with Bill Reus, one of the co-creators of Arkouda, where he touches on Chapel’s use in cybersecurity and how it enables interactive data analysis at HPC scales.
Keep up with what’s happening in the Chapel community. In this issue, we announce that Chapel has been accepted into the High-Performance Software Foundation (part of the Linux Foundation), introduce our new Chapel website, interview Bill Reuss (co-inventor of Arkouda), and more!
Register for our upcoming technology talks or check out our on-demand training
Explore the collection of HPE Developer Community videos on our YouTube playlist. Check out our newest here!
Register for our upcoming technology talks or check out our on-demand training
| Explore the collection of HPE Developer Community videos on our YouTube playlist. Check out our newest here! |
| Watch now |
Contribute to our blog. Learn how it’s done here.
Share your knowledge
Start contributing to open source projects.
Catch up on what you might have missed.
Browse the archive
Hewlett Packard Enterprise leads with enterprise and open source solutions with the expertise to help developers and customers innovate and solve problems.
We’re all developing something.
Come join us in making the future.
In this edition, we introduce using webhooks to subscribe to events on HPE GreenLake cloud. We also start exploring the rise of the distributed enterprise and how it’s affecting compute architectures today in the first of a new blog series.
Our March Munch & Learn offers first-hand insights on how HPE’s Private Cloud for AI provides secure, private access to large language models, helping employees quickly develop and deploy impactful use cases.
| AI has the power to enhance our lives in so many ways. It also comes with a lot of questions and concerns as people begin to incorporate it into their business models. In this edition, we look at how AI-infused full-stack observability can help DevOps and IT admins address issues before they impact users. We also cover how Private AI can alleviate some of the concerns around data control, regulatory compliance, and model performance in one article and show you how it can be used in tackling specific use-case challenges, like fraud detection, in an upcoming webinar. |
In this month’s edition, we begin by highlighting our many Skill Up opportunities. We’ve just scheduled two more sessions for our newest AI Jam webinar series that will be held on November 6 and December 11. Our November Munch & Learn will feature Ted Dunning who will instruct us on how to fix a common security hole and our Meetups will reconvene in December as we introduce an HPE-pioneered technology called LL-Mesh.…
We have several exciting webinars planned for you this month, so let’s start with that! The HPE Developer team is starting a new series, “Get Real with AI”, on Oct. 2. On Oct. 16, our Munch & Learn topic is Hybrid Classical-Quantum Workflows on HPE Supercomputers. And our monthly Meetup on Oct. 30 will focus on NVIDIA NIM Agents Blueprints.
For those of you who have not heard, Morpheus Data has just been acquired by Hewlett Packard Enterprise (HPE).
The impact of artificial intelligence (AI) on IT Service Management (ITSM) is far more profound than the buzz around chatbots and automated support articles. Join a live webcast featuring ITIL expert David Cannon for an eye-opening presentation that looks beyond the hype. You’ll discover:
Don’t miss this chance to stay ahead of the curve in ITSM innovation.…
This month, check out some of our HPE GreenLake cloud articles focused on programmatically beefing up security and enhancing data sovereignty & privacy cost-effectively. You’ll also find our tutorial on configuring long-lived tokens helpful for user provisioning.
In addition to our post on Chapel’s use for scientific computing and our Determined AI post on splitting models across multiple GPUs, we have an additional treat in store with the introduction of the new Ampere Porting Advisor for x86 to ARM64.
Migrating to cloud operations can be daunting, but there are so many advantages to be had when you use HPE GreenLake cloud. Let us help. Check out our articles on mastering cloud migration, converting specs, synching users, and enhancing your environment for sustainability.
If it’s parallel compute programming you’re into, our articles on Chapel’s recent 2.1 release and high-level support for CPU-GPU data transfers and features that let you define functions that perform computations on types at compile-time are sure to please.
October 16, 2024 – 9:00 AM Central Daylight Time (US & Canada)
Register to presubmit a question and receive an Outlook calendar appointment.
The impact of artificial intelligence (AI) on IT Service Management (ITSM) is far more profound than the buzz around chatbots and automated support articles. Join a live webcast featuring ITIL expert David Cannon for an eye-opening presentation that looks beyond the hype.…
Get started building and deploying an agile, self-service private cloud wherever you need with HPE GreenLake Private Cloud Business Edition APIs. Use the HPE GreenLake API to speed up Day 0 operations with bulk user onboarding. If you’re using HPE GreenLake for Compute Ops Management, learn how webhooks integration can turbocharge your operational processes.
If you didn’t have a chance to attend HPE Discover 2024, you can read about it here and even learn how Determined AI and Pachyderm helped power the AI avatar of HPE CEO, Antonio Neri.
This month , we continue with our series of blog posts on the HPE GreenLake APIs for data services, this time focusing in on virtualization. We also expand on the HPE Athonet GenAI platform series, give you a peek into where you’ll find us at HPE Discover 2024, and explore fine-tuning models with Determined AI.
You can have some fun with two of our articles focused on exposing Kubernetes applications on HPE GreenLake, steering you toward being able to run some fun, traditional computer games.
