It’s Friday evening. Priya, a machine language (ML) engineer at a financial services firm, queues up a fraud-detection fine-tuning job on an GPU cluster costing $55 an hour. The run should take about 40 hours—roughly $2,200 in compute.
Make every GPU-hour count: Progress tracking in Red Hat OpenShift AI
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July 30, 2026
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