The new large language model called Jais contains 13 billion parameters that was made from a big batch of data combining Arabic and English, a portion of which is from computer code. The group, which included academics and engineers embarked, on the project in part because they said there are few large language models that are bilingual.

The new language model was created with the help of supercomputers produced by the Silicon Valley-based Cerebras Systems, which designs dinner plate-sized chips that compete with Nvidia’s (NVDA.O) powerful AI hardware. Nvidia’s chips are in short supply, which has driven companies around the world to seek alternatives.

Named after the highest peak in the United Arab Emirates, Jais is a collaboration between Cerebras, Mohamed bin Zayed University of Artificial Intelligence and a subsidiary of the Abu Dhabi-based tech conglomerate G42 called Inception, which focuses on AI.

Because there is not enough Arabic data to train a model of Jais’ size, the computer code within the English language data helped train the model’s ability to reason, according to Mohamed bin Zayed University of Artificial Intelligence professor Timothy Baldwin.

“(Code) gives the model a big leg up in terms of reasoning abilities, because it spells out the (logical) steps,” Baldwin told Reuters.

Jais will be available via an open source license.

The group trained the Jais model on a Cerebras’ supercomputer called a Condor Galaxy. This year Cerebras announced it had sold three such units to G42, with the first scheduled to arrive this year and the remaining units to be delivered in 2024

The deal comes as cloud computing providers around the world are searching for alternatives to chips from Nvidia Corp (NVDA.O), the market leader in AI computing whose products are in short supply, thanks to the surging popularity of ChatGPT and other services. Cerebras is one of several startups looking to challenge Nvidia.

Silicon Valley-based Cerebras said that G42 has agreed to purchase three of what it calls its Condor Galaxy systems, all of which it will build in the U.S. to speed up the roll out. The first one will come online this year, with two more coming in early 2024.

Abu Dhabi-based G42, a tech conglomerate with nine operating companies that include datacenter and cloud service businesses, says it plans to use the Cerebras systems to sell AI computing services to health care and energy companies. G42 has raised $800 million from U.S. tech investment firm Silver Lake, which has backing from Mudabala, the UAE’s soverign wealth fund.

“Cerebras has what they call a ‘white glove’ service that made it easy for us” to build AI systems on its machines, G42 Cloud CEO Talal AlKaissi told Reuters.

“There will be some excess capacity that we hope to wholesale with Cerebras to customers in the open-source AI community from many places around the world, especially in the U.S. ecosystem.”

The contract to complete the first of the three systems announced on Thursday is worth about $100 million, Cerebras CEO Andrew Feldman said.

“What we’re saying is that the $100 million contract takes us through Condor Galaxy 1… That’s the unit, the building block.”

G42 Cloud’s AlKaissi declined to comment on the terms of the deal.