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GPU Multiplexing

Match GPU sharing strategies to the right production scenario

+100 XP5 min8 / 13

Overview: GPU Multiplexing

Overview: GPU Multiplexing

MIG (Multi-Instance GPU) partitions the GPU in hardware — up to 7 isolated instances on an A100, each with guaranteed memory and compute. Time-slicing shares GPU in software — up to 90% cost savings but no memory isolation. MPS enables concurrent CUDA kernels for lightweight embedding jobs.

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