As larger graphical-based workloads (like building Models) becomes more of a need for organizations, the ability to use GPUs is increasing. The problem is that it’s incredibly expensive. For example, if you
Every engineer, vendor, tool (open-source or paid), and leadership team is always looking for one key thing - how to run workloads more efficiently. Maybe they’re looking for “easy” or “cross-architecture” or
With every new iteration of technology, platforms, and deployment methodologies, the goal is simple - faster and more efficient practices.
The problem is that although the goal is simple, getting there never is.
When Kubernetes first came out, everyone felt that it was hard to manage and required significant expertise. Then, Managed Kubernetes Services (AKS, EKS, GKE, etc.) came out and the management got a little
Instead of the continuous buzz/hype/notion/complete lie that “AI is going to take engineering jobs”, the technical implementors, managers, and leaders need to come together and work on solutions for the
