How are you tracking GPU costs by Kubernetes workload?
We're trying to get a clearer picture of our GPU spending. We can see total infrastructure costs, but it's difficult to identify which namespaces, workloads, or batch jobs…
We're trying to get a clearer picture of our GPU spending. We can see total infrastructure costs, but it's difficult to identify which namespaces, workloads, or batch jobs…
Cloud GPU pricing varies widely, and more inference workloads are being moved closer to where data is collected. For people with hands-on experience, what are you actually running…
I've heard that some startups are managing to cut down on their GPU expenses by partnering with certain services. I'm familiar with typical advice like optimizing usage, scaling…