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Ten engines for one box: which local inference engine fits a 100 GB rig with two 16 GB cards?
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Ten engines for one box: which local inference engine fits a 100 GB rig with two 16 GB cards?

DEV Community: machinelearning·Private Local AI·about 13 hours ago
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This blog has published notes on ten inference engines — llama.cpp, Ollama, vLLM, Sonar (formerly Aphrodite Engine), exo, ExLlamaV3 + TabbyAPI, Strata, PolyStrata, Avalon and Xolotl. This is the decision piece: which of them I would run on the machine I keep being asked about — roughly 100 GB of system RAM and two 16 GB consumer GPUs.

Every figure below I have checked; none is estimated or invented. All are published numbers collected on our benchmark page, https://localai.hex7.com/benchmark.html , which marks every one with a source and dashes where none was found.…

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