OpenAI hopes to break AI's reliance on Nvidia by using investment from UAE to make its own chips
By Dr. Eleanor Vance | Published on January 01, 0001
OpenAI is working with a UAE investment firm, to create a deal in which the artificial intelligence research group gets all the money it needs to design and manufacture its own AI acceleration processors. With Nvidia currently dominating the market and its H100 chips in short supply around the world, OpenAI is clearly looking to join Amazon and Google in having full control over its own AI capabilities and future.
That's according to a report by the (via ), although rather unsurprisingly, there's not much in the way of specific details such as the amount of investment being discussed or the joy rummy timeframe for the chip development.
When asked by the UAE's AI minister , Jen-Hsun Huang is reported to have responded with "Apparently, all the GPUs."
But I can't imagine that MGX, the UAE investment firm in question, is unaware of this, as the company's chairman is Sheikh Tahnoon bin Zayed al-Nahyan, who also chairs another AI development firm, and acts as the national security adviser for UAE. The country is especially keen on putting itself front and centre in the world of AI investment and has a dedicated funding system in place for such ventures.
: The top pre-built machines.
: Great devices for mobile gaming.
I should imagine the deal will go through, given OpenAI's status in the field, but whether or not it results in any meaningful success in a sensible timeframe, I'm far less certain about. Amazon and Google have shown it is possible to make a unique, dedicated AI accelerator without requiring decades of chip experience under the belt, but both started down that road many years ago.
OpenAI and MGX could find themselves burning through great sums of money but ultimately have little to show for it all in the end. While that's a potential risk for all investments, rummy nobel if this one failed, OpenAI would just be back at square one: Joining the long queue for Nvidia's biggest GPUs.
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