This month, start exploring the transformative impact of generative AI in our new series from HPE Athonet. You’ll also want to delve into the new HPE GreenLake APIs for data services that have just been introduced. If you’re interested in security, check out how to configure Microsoft Azure Active Directory on the HPE GreenLake platform.
There’s also been a lot going on in the Chapel parallel programming world recently.…
It’s great to see the HPE GreenLake platform becoming an essential item in many companies’ cloud strategies today. And with more customer usage comes many questions about how to onboard users onto the platform. I came across this interesting blog the other day that I wanted to share with you. It covers bulk onboarding of users in the HPE GreenLake edge-to-cloud platform, authored by Didier Lalli from the HPE Dev Community.…
Learn tips and tricks on using the HPE GreenLake foundational APIs for common services such as workspace management, identity and access management, device and subscription, locations, audit logs, and wellness.
In this month’s edition, we’re focused on the HPE GreenLake for Private Cloud Enterprise environment, offering tutorials that show you how to optimize and modernize data management observability and how to use volume snapshots on a Kubernetes cluster to backup and restore your databases.
We also continue our series on working with HPE GreenLake foundational APIs, offer topics of interest in the AI space, and help you understand more about Chapel, the programming language designed for productive parallel computing at scale.
Enable business automation via the HPE GreenLake platform APIs to achieve velocity, get consistent results, reduce costs, and scale. This month, we feature Part 1 of a blog series that walks you through how to use these APIs for many common services, such as workspace management, identity and access management, wellness, and more.
We also offer tips on setting up your systems to get a better understanding of what’s going on in your infrastructure.
Your AI models ran perfectly in the lab. But in the real world, AI hackers are aware of the model’s vulnerability across varying data dimensions. Learn how to build robustness into your models.
November 15th, 2023 at 8:00am Pacific Time
Hana Malha, AI Technologist, HPE
Lindsey Hillesheim, Head of HPE Tech Advance Program
AI, and specifically deep learning, is a breakthrough technology that is driving significant advancements in many vertical markets. Whether within the computer vision or natural language processing domain, deploying this technology at scale requires overcoming many challenges and constraints.
The variety of ways that developers, data scientists, and ML engineers can leverage APIs and data to create new business opportunities is boundless. But if it’s too hard, it’s not worth the struggle, right? That’s why Hewlett Packard Enterprise makes it easy to access the resources you need on the HPE Developer Community portal. Being a huge supporter of open collaboration, HPE opens the door to providing direct access to software engineering experts, APIs, documentation, tutorials, and training – all free and at your disposal anytime from anywhere.…