Inferact says its vLLM optimizations on GB300 improve TCO
Overview
Inferact says its team has been optimizing vLLM, the open-source inference project, on Nvidia GB300 hardware, and that the gains translate directly into better total cost of ownership.
The company points to current results on the InferenceX benchmark site, which is run by SemiAnalysis, and says more optimizations are coming soon. The claim comes from Inferact's own X post thanking SemiAnalysis for a shoutout; the post gives no figures for the size of the improvement.
Written by AI from the articles below · updated Oct 14, 8:13 PM ET
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Inferact@inferactOfficialThanks for the shoutout @SemiAnalysis_! Our team at @inferact has been optimizing @vllm_project on GB300, and those gains translate direc...AIThanks for the shoutout @SemiAnalysis_! Our team at @inferact has been optimizing @vllm_project on GB300, and those gains translate directly into better TCO. More optimizations are coming soon. Current results on InferenceX:
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