{"id":19018,"date":"2024-08-31T09:12:07","date_gmt":"2024-08-31T01:12:07","guid":{"rendered":"https:\/\/www.1ai.net\/?p=19018"},"modified":"2024-08-31T09:12:07","modified_gmt":"2024-08-31T01:12:07","slug":"%e8%9e%8d%e8%b5%843-2%e4%ba%bf%e7%be%8e%e5%85%83%ef%bc%81ai%e7%bc%96%e7%a8%8b%e5%85%ac%e5%8f%b8magic%e6%96%b0%e6%a8%a1%e5%9e%8b%e6%94%af%e6%8c%811%e4%ba%bftoken%e4%b8%8a%e4%b8%8b%e6%96%87%e7%aa%97","status":"publish","type":"post","link":"https:\/\/www.1ai.net\/en\/19018.html","title":{"rendered":"Raised $320 million! AI programming company Magic's new model supports 100 million token context windows"},"content":{"rendered":"

Startups focusing on generative AI programmingMagic<\/a>Recently announced the completion of a roundFinancing<\/a>, the amount is as high as 320 million US dollars.<\/p>\n

This round of financing was led by former Google CEO Eric Schmidt and attracted many well-known investors, including Alphabet's CapitalG, Atlassian, Elad Gil, Jane Street, Nat Friedman and Daniel Gross, and Sequoia Capital. This financing brings Magic's total financing amount to nearly $465 million, quickly pushing it into the ranks of many well-funded AI programming startups.<\/p>\n

Very long context window<\/strong><\/p>\n

One of Magic's distinctive technologies is its extremely long context window, called "Long Term Memory" (LTM).<\/strong>This means its models are able to handle larger amounts of input data, thus avoiding biases in the generated code.<\/p>\n

Magic\u2019s latest model, the LTM-2-mini, can handle 100 million tokens, which is equivalent to about 10 million lines of code, or 750 novels.<\/strong>Officials said that its computational efficiency in decoding tokens is 1,000 times that of traditional models. Compared with mainstream models on the market, such as Llama3.1, LTM-2-mini has much smaller memory requirements and demonstrates a strong performance advantage.<\/p>\n

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Official blog: https:\/\/magic.dev\/blog\/100m-token-context-windows<\/p>\n

Partnering with Google Cloud<\/strong><\/p>\n

While Magic was raising funds, it also reached a cooperation with Google Cloud to build two "supercomputers" on the Google Cloud Platform. The two computers are Magic-G4 and Magic-G5. The former will be equipped with Nvidia H100 GPU, and the latter will use Nvidia's next-generation Blackwell chip to be launched next year.<\/p>\n

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Magic said that in the future it will expand computing power to "tens of thousands" of GPUs, and such a computing cluster can achieve a processing power of 160 Exaflops per second, equivalent to one quadrillion operations per second.<\/p>\n

\u201cWe are very excited to work with Google and Nvidia to build the next generation of AI supercomputers with Google Cloud,\u201d Magic founder and CEO Eric Steinberger said in a statement. He pointed out that Nvidia\u2019s Blackwell system will greatly improve the efficiency of reasoning and training of its models, while Google Cloud will enable them to achieve scale in the shortest time and enjoy a rich cloud service ecosystem.<\/p>\n

Magic was founded in 2022 by Steinberger, a former AI researcher at Meta, and Sebastian de Ro, the former CTO of German business process management company FireStart.<\/p>\n

Their team currently has about twenty people, and although it is not yet profitable, Magic's goal is to help software engineers automate the writing, reviewing, debugging, and planning of code changes, striving to achieve a more efficient way of coding.<\/p>","protected":false},"excerpt":{"rendered":"

Magic, a startup that specializes in generative AI programming, recently announced the closing of a funding round for a whopping $320 million. The round was led by former Google CEO Eric Schmidt and attracted participation from a number of high-profile investors, including Alphabet's CapitalG, Atlassian, Elad Gil, Jane Street, Nat Friedman and Daniel Gross, and Sequoia Capital. The funding brings Magic's total funding to nearly $465 million, quickly catapulting it into the ranks of many well-funded AI programming startups. Ultra-long context windows One of the technologies Magic features is its ultra-long contexts<\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[146],"tags":[1124,4210,421],"collection":[],"class_list":["post-19018","post","type-post","status-publish","format-standard","hentry","category-news","tag-ai","tag-magic","tag-421"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/19018","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=19018"}],"version-history":[{"count":0,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/posts\/19018\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/media?parent=19018"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/categories?post=19018"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/tags?post=19018"},{"taxonomy":"collection","embeddable":true,"href":"https:\/\/www.1ai.net\/en\/wp-json\/wp\/v2\/collection?post=19018"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}