When running LLMs locally,
the bottleneck isn’t just “VRAM size” It’s: – memory bandwidth
– interconnect (PCIe vs NVLink vs RDMA)
– inference engine (vLLM, TensorRT-LLM, SGLang) Unified Memory is way slower than VRAM btw
Local LLM Bottlenecks: Bandwidth, Interconnect, and Inference Engines
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