Context is becoming an infrastructure tier.
A TechPowerUp report says NVIDIA's redesigned Rubin CPX project is aimed at prefill workloads and KV-cache processing, with 168 GB of HBM4 per accelerator.
The report also describes separate racks with 64 to 256 CPX GPUs.
The operational takeaway: LLM cost is not only a compute problem.
GPU capacity handles model work.
Storage capacity supports the context layer around it.
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Originally posted on linkedin_personal