A site dedicated to Artificial Intelligence
The shift that happened quietly Over the last few years, DevOps teams have become the largest consumers of infrastructure without most organisations fully noticing the impact. It started with cloud adoption, accelerated with APIs, and has now exploded with AI. Getting access to a model is as simple as calling an endpoint. Scaling usage is […]
As AI workloads become increasingly central to business innovation, organizations are turning to modern infrastructure platforms that can scale AI training and inference reliably, securely, and efficiently. Two leading options in this space—VMware Cloud Foundation and Red Hat OpenShift AI—offer enterprise-grade solutions, but with very different philosophies and strengths. In this blog, we’ll explore the […]
As enterprises rapidly adopt AI to improve efficiency, customer experience, and innovation, the choice of model architecture has become a critical factor. Whether it’s deploying a massive Large Language Model (LLM), an efficient Very Large Language Model (VLLM), or a compute-friendly Small Language Model (SLM), organisations are increasingly strategic about balancing performance, cost, and accuracy. […]