Viswaretas Kotra
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🌐 dev.toSource
Sticker price per GPU-hour vs cost per finished job on H100 and B200: startup, idle time, redone work, storage and egress, with a worked 8-GPU example.
🌐 dev.toSource
Nodus vs CoreWeave for training: reserved clusters vs per-run pricing, spot preemption, Kubernetes and Slurm, startup access and one 8 x H100 run priced.
🌐 dev.toSource
Nodus vs Lambda for GPU training: listed H100 and A100 rates, two jobs priced both ways, idle billing, recovery, and when Lambda is the better pick.
🌐 dev.toSource
RunPod alternatives for AI training compared on H100 price, preemption recovery and scale, with one 80 GPU-hour run priced on each.