Open to challenge NvidiaOpen pushes By developing its first generation internal AI Silic, Nvidia with a plan to reduce its credibility for its chip supply.

The Chadgift producer is finally finalized for its first inner chip in the next few months and plans to send it for fun DSMCSources said. The process of sending the first design through a chip factory is called “tapping”. Opanai and DSMC refused to comment.

The update shows that the Open AIA is on the path to fill its ambitious goal of mass production in 2026 in DSMC. A regular tape-out costs tens of thousands of dollars, and it takes about six months to make a finished chip, and if the Open AI does not pay significantly, rapid production. There is no guarantee that the silicon will operate in the first tape-out, and the failure must find the problem and repeat according to the tape-out.

Inside the opening, the sources said that the training-repaired chip is seen as a strategic instrument to strengthen Open’s negotiations with other chip suppliers. After the initial chip, the engineers of the opening of the opening are planning to create an increasingly advanced processors with widespread skills with each new reproduction.

If the initial tape-out happens smoothly, this will allow the Saadgift producer to produce the AI ​​chip of its first house and test the chips of Nvidia late this year. The Openi’s plan to send its design to the DSMC this year proves that the beginning has made a rapid improvement in its first design, which may take other chip designers for years.

Large technology companies, such as Microsoft and Meta operating systems, have struggled to produce satisfactory chips despite many years of effort. The latest market mechanism, which stimulated the Chinese AI Start-up Deepseek, has raised questions about whether less chips needed in developing powerful models in the future.

Delicate expenses

The chip is designed by the internal group of Open, led by Richard Ho, who has doubled to 40 people in the past months, along with Bradkam. Ho joined Obano a year ago from Google, where the search company helped to lead the AI ​​Chip project.

HO’s group is smaller than large -scale efforts in technical companies like Google or Amazon. According to intelligent industrial sources about the chip design budgets, a version of a chip costs $ 500 million. Those costs are doubled to create the required software and devices around it.

Read: Openai ‘O3’ releases rational AI models

Open AI Model Producers Open AI, Google and Meta have always proven that large numbers of chips are better in the data centers, resulting in a need for chips.

Meta says it will spend $ 60 billion on the AI ​​infrastructure next year, and Microsoft will spend $ 80 billion in 2025. Currently, Nvidia’s chips are very popular, and the market share is 80%. US President Donald Trump announced last month in Opanai participating in the $ 500 billion Stargate Infrastructure Program.

But the increasing costs and relying on a supplier have led to exploring the internal or external alternatives to Nvidia’s chips for Nvidia’s chips, such as Microsoft, Meta and now Open AIA.

OpenAi’s internal AI chip, AI -models are capable of training and operating, initially used in a certain level, and primarily to run AI models, according to the sources. The chip has a limited role within the company’s infrastructure.

To create a comprehensive effort like Google or Amazon’s AI Chip, you must hire hundreds of Openi engineers.

Read: Google has created a dangerous U-Turn in AI

DSMC produces Open AI Chip using its advanced, 3-nanometer process technology. Sources said the Chip contains a commonly used systolic sequence structure, which is used with high-inshoning memory-envidia and its chips and for comprehensive networking capabilities. – Anna Tong, Max A Serney and Crystal Hu, (C) 2025 Reuters

Get braking News from Tech Central on WhatsApp. Register here.

Don’t miss out:

Deep research is the latest motivation of Operai’s AI agents



Source link

LEAVE A REPLY

Please enter your comment!
Please enter your name here