IBM Technology · AI

How AI Models Scale Beyond a Single GPU Across LLM Workloads

Learn more about AI Models here → https://ibm.biz/~GnXROtDog The biggest AI models can't fit on one GPU. Grace Ableidinger explains how distributed AI inference scales LLMs across GPUs using data, pipeline, tensor, and expert parallelism. Learn how KV cache, throughput, and prefill/decode bottlenecks shape production AI serving. 00:00 – See Why AI Models Need Distributed Inference 01:50 – Scale LLM Traffic with Data Parallelism 02:45 – Split AI M

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