What is the value of using Composable Architecture for uneven AI workloads?
We've been training machines to think for us for decades, and we're just at the beginning. Today we've got Alexa, and Siri and other services that are delivering real-time services. All of these are instantiations of Artificial Intelligence.
When considering what else is happening with machine learning and with deep learning you start to see an evolution in the IT space...really in the world. That evolution is driving an increased demand for computational resources, and more importantly on-demand computational resources that dynamically shift based on usage requirements. And with the advances in artificial intelligence, why should an IT staffer have to manually configure resources to adjust if, for example, utilization rates go above 84 percent?
That's silly. Machines now understand this shift needs to happen automatically. And that's that's the idea behind Liqid composable infrastructure—giving IT the ability to easily automate dynamic workloads across the datacenter regardless of industry vertical.
Watch this video featuring Liqid CEO Sumit Puri as he discusses uneven AI Workloads.
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