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Deploying Disaggregated LLM Inference Workloads on Kubernetes | NVIDIA Technical Blog

…This is memory-bandwidth-bound because of the autoregressive nature of LLMs. You want GPUs with fast high bandwidth memory (HBM) access. Router/gateway directs incoming requests, manages Key-Value (KV) cache…

Mar 23, 2026 · Anish Maddipoti

Business, Finance & Legal News Impacting Tech, Gaming & Science

…He added that as inference and token demand rise, so will the need for both higher-capacity and higher-performance memory. AI GPUs rely heavily on HBM, while AI CPUs use DRAM…

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Deploying Disaggregated LLM Inference Workloads on Kubernetes | NVIDIA Technical Blog

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