The next AI cost metric is energy per token.
At Hot Chips 2026, OpenAI described Jalapeno as an inference system built around low latency, multi-chip workloads, and efficiency across the full request path.
That changes the infrastructure conversation.
Do not optimize only for peak hardware.
Keep latency-sensitive work on GPU compute.
Keep the broader data footprint in cost-effective cloud storage.
BHK Cloud gives US AI teams GPU compute from $0.15/hr and cloud storage from $2.49/TB.
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Spin up an RTX 3090 in 60 seconds. Storage at $2.49/TB. Zero egress between GPU and storage.
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Originally posted on linkedin_personal