ELIZA (created by Joseph Weizenbaum) was one of the first natural language processing programs designed to simulate conversation. But it wasn’t until nearly 50 years later that AI tools like Siri allowed broad adoption so that many users could use natural language to interact with their devices. And while Siri had its time, never before have we had this many significant consecutive releases (ChatGPT, Gemini, Alexa) that transformed our daily lives. AI now plays a pivotal role in our daily lives, answering our questions, articulating and documenting our ideas in written and even artistic forms, driving our vehicles, cooking our food, analyzing our patterns, and recommending ads to us, etc. So what do you need to know about AI? And where do you begin if you want to leverage the endless possibilities of AI for your organization?

Security and access control are paramount to ensure the safety of data and resources when using clouds. If you’re running workloads on OpenStack clouds, then you will find Keystone to be a crucial project that will play a significant role in managing authentication and authorization for your cloud. In this blog, we will dive deep into Keystone’s Role-Based Access Control (RBAC) process, its importance, and how it empowers a stateless and scalable cloud infrastructure.

The blog delves into the technical intricacies of OpenStack Swift, a versatile data storage solution, explaining its features, use cases, and functionalities. Picture a virtual universe where your crucial files are kept safe, accessible, and effortlessly organized. That’s the remarkable world of OpenStack Swift – a potent tool that not only secures your data but also streamlines its management. At its core, OpenStack Swift is like a friendly bridge that connects people like you and me with object storage

Artificial Intelligence (AI) and Machine Learning (ML) have been prominent topics within the technology landscape for an extended period. However, the emergence of AI such as OpenAI’s GPT-3 and Google Bard has elevated the excitement surrounding these advancements. GPT-3 stands as a language model capable of generating remarkably human-like text, garnering significant attention as a transformative force in the AI realm. Yet, how do these AI and ML technologies integrate with the realm of cloud computing? Moreover, what role do open-source cloud platforms like OpenStack play in propelling the progress of such sophisticated technologies?

vGPUs with OpenStack Nova

Virtualization has revolutionized the way we use computer resources. One particular element is virtual GPU (vGPU) that has ability to deliver high-performance graphics and accelerate complex tasks. vGPU has become indispensable in industries like desktop virtualization (VDI) and remote workstations, ML/AI workloads, and scientific research.  Within OpenStack clouds, the project Nova acts as a bridge between physical GPUs and the VMs that need GPU resources. Nova  efficiently manages and allocates virtual GPUs. In this blog, we will explore Nova and vGPUs, their practical applications, and the process of setting up vGPUs with OpenStack Nova.

Octavia is an open-source load balancing solution designed for use with OpenStack. Octavia distinguishes itself by dynamically scaling up a fleet of virtual machines, containers, or bare metal servers, known as amphorae, to deliver load balancing services as needed. This on-demand horizontal scaling capability makes Octavia well-suited for cloud environments.

There are many OpenStack projects that you can use to build a cloud that can handle your use case and workloads. While OpenStack projects work well together, they also work with other popular software because the open source community continually work on ways to optimize OpenStack and ensure that it is seamless to use other open source software that you may need.