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Google Claims Gemma 3 Reaches 98% of DeepSeek's Accuracy Using Only One GPU
Thursday March 13, 2025. 02:03 AM , from Slashdot
![]() Google's balance of compute and Elo score is a 'sweet spot,' the company claims. In a blog post, Google bills the new program as 'the most capable model you can run on a single GPU or TPU,' referring to the company's custom AI chip, the 'tensor processing unit.' 'Gemma 3 delivers state-of-the-art performance for its size, outperforming Llama-405B, DeepSeek-V3, and o3-mini in preliminary human preference evaluations on LMArena's leaderboard,' the blog post relates, referring to the Elo scores. 'This helps you to create engaging user experiences that can fit on a single GPU or TPU host.' Google's model also tops Meta's Llama 3's Elo score, which it estimates would require 16 GPUs. (Note that the numbers of H100 chips used by the competition are Google's estimate; DeepSeek AI has only disclosed an example of using 1,814 of Nvidia's less-powerful H800 GPUs to server answers with R1.) More detailed information is provided in a developer blog post on HuggingFace, where the Gemma 3 repository is offered. Read more of this story at Slashdot.
https://news.slashdot.org/story/25/03/13/0010231/google-claims-gemma-3-reaches-98-of-deepseeks-accur...
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