Google claims Gemma 3 reaches 98% of DeepSeek's accuracy - using only one GPU

Google The economics of artificial intelligence have been a hot topic of late, with startup DeepSeek AI claiming eye-opening economies of scale in deploying GPU chips. Two can play that game. On Wednesday, Google announced its latest open-source large language model, Gemma 3, came close to achieving the accuracy of DeepSeek's R1 with a fraction of the estimated computing power. Using "Elo" scores, a common measurement system used to rank chess and athletes, Google claims Gemma 3 comes within 98% of the score of DeepSeek's R1, 1338 versus 1363 for R1. Also: First Gemini, now Gemma: Google's new, open AI models target developers That means R1 is superior to Gemma 3. However, based on Google's estimate, the search giant claims that it would take 32 of Nvidia's mainstream "H100" GPU chips to achieve R1's score, whereas Gemma 3 uses only one H100 GPU. 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 ... Read full article.