{"id":30574,"date":"2025-03-12T18:54:35","date_gmt":"2025-03-12T10:54:35","guid":{"rendered":"https:\/\/www.1ai.net\/?p=30574"},"modified":"2025-03-12T18:54:35","modified_gmt":"2025-03-12T10:54:35","slug":"%e8%b0%b7%e6%ad%8c%e6%8e%a8%e5%87%ba-gemma-3%ef%bc%9a%e5%8f%b7%e7%a7%b0%e5%8f%af%e5%9c%a8%e5%8d%95%e5%9d%97-gpu-%e4%b8%8a%e8%bf%90%e8%a1%8c%e7%9a%84%e6%9c%80%e5%bc%ba-ai%e6%a8%a1%e5%9e%8b","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/30574.html","title":{"rendered":"Google Launches Gemma 3: The Most Powerful AI Model Claimed to Run on a Single GPU"},"content":{"rendered":"<p>March 12 News.<a href=\"https:\/\/www.1ai.net\/en\/tag\/%e8%b0%b7%e6%ad%8c\" title=\"[View articles tagged with [Google]]\" target=\"_blank\" >Google<\/a>Launched today <a href=\"https:\/\/www.1ai.net\/en\/tag\/gemma-3\" title=\"_Other Organiser\" target=\"_blank\" >Gemma 3<\/a> Artificial Intelligence model, which follows its release a year ago based on a partnership with the <a href=\"https:\/\/www.1ai.net\/en\/tag\/gemini-ai\" title=\"[View articles tagged with [Gemini AI]]\" target=\"_blank\" >Gemini AI<\/a> The upgrade comes on the heels of two \"open\" Gemma AI models of the same technology. According to Google's official blog, the Gemma 3 model is designed for developers to build AI apps that run seamlessly on multiple devices, whether they are cell phones or workstations. The model supports more than 35 languages and has the ability to analyze text, images and short videos.<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-30575\" title=\"aebdf1a7j00st0blz003ud000sg00hvp\" src=\"https:\/\/www.1ai.net\/wp-content\/uploads\/2025\/03\/aebdf1a7j00st0blz003ud000sg00hvp.jpg\" alt=\"aebdf1a7j00st0blz003ud000sg00hvp\" width=\"1024\" height=\"643\" \/><\/p>\n<p>Google claims that Gemma 3 is \"the world's best single-accelerator model,\" outperforming competitors like Facebook's Llama, DeepSeek, and OpenAI on hosts with a single GPU. The model is also optimized for Nvidia's GPUs and dedicated AI hardware. Google has also released a 26-page technical report that goes into depth on these performance benefits.<\/p>\n<p>Over the past year, the popularity of models such as DeepSeek has demonstrated the market's strong interest in AI technologies with lower hardware requirements, despite doubts about whether models like Gemma are sufficiently attractive. Despite Gemma 3's claims of advanced capabilities, Google has also said that the model's improved performance in science, technology, engineering, and math (STEM) has triggered a specific assessment of its potential use in the manufacture of hazardous materials, but that the assessment shows a low level of risk.<\/p>\n<p>1AI notes that the definition of \"open\" or \"open source\" AI models is still a matter of debate, and Google's Gemma model is limited in its use by the company's license, which has not changed with the release of Gemma 3. Google continues to promote Gemma models through Google Cloud Credits and has launched the Gemma 3 Academic Program, which allows academic researchers to apply for $10,000 worth of credits to accelerate their research.<\/p>","protected":false},"excerpt":{"rendered":"<p>On March 12th, Google launched today Gemma 3 artificial intelligence model, a further upgrade to its two \"open\" Gemma AI models based on the same technology as Gemini AI a year ago. According to Google\u2019s official blog, Gemma 3 model is designed for developers to support them in building artificial intelligence applications that can be run on a variety of devices, be they mobile phones or workstations. The model supports more than 35 languages and has the capability to analyse text, images and short videos. Google claims that Gemma 3 is the \"best single accelerator model in the world\" and that its performance on the host with a single GPU is beyond Facebook<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[167,2794,5957,281],"collection":[],"class_list":["post-30574","post","type-post","status-publish","format-standard","hentry","category-news","tag-ai","tag-gemini-ai","tag-gemma-3","tag-281"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/30574","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/comments?post=30574"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/30574\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=30574"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=30574"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=30574"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=30574"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}