You can use Avesha to connect, autoscale, and manage Kubernetes clusters across multiple clouds and data centers. It automatically predicts workload demands to right-size CPU and GPU allocations, cutting cloud compute expenses while avoiding application lag. You can also network distributed clusters securely using virtual slices, making it easier to route AI model training and inference jobs where capacity is readily available. In addition, automated agents monitor your infrastructure to resolve performance bottlenecks and balance resources across regions without manual intervention.
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