Case Study: an AI company achieves 65% faster inference and nearly 7x higher throughput with CentML

AI company specializing in foundational models

An AI firm specializing in foundational models was experiencing significant delays and inefficiencies with the inference of its large language models, struggling to meet performance targets. They partnered with CentML to address these optimization challenges.

Using its Hidet compiler to optimize GPU kernels, CentML provided a solution that significantly accelerated performance. The implementation resulted in a 65% increase in inference speed and a nearly 7x improvement in throughput, enabling the AI company to surpass its SLAs and achieve estimated monthly savings of approximately $46,540.