MLCommons said the results highlight performance gains of up to 2.8X compared to 5 months ago and 49X over the first results five years ago, “reflecting the tremendous rate of innovation in systems for machine learning,” the organizations said.
[SPONSORED GUEST ARTICLE] How exascale systems have been stood up has been recounted in detail, as has the dramatic moment when Frontier achieved exascale status. Now the focus has shifted to the work research organizations are doing with exascale, how it’s actually changing the world ….
Lamini is developing an infrastructure for customers to run Large Language Models (LLMs) on innovative and fast servers. End-user customers can use Lamini’s LLMs or build their own using Python, an open-source programming language. Lamini has developed a software environment for customers that allows them to focus on their business needs and develop innovative AI […]
Featured RSS Feed More News from insideAI News
