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UAE-Based G42 Partners On World’s Fastest AI Supercomputer
The machine, named Condor Galaxy, has been built to assist with generative AI projects and is over 20 times faster than its predecessor.
Condor Galaxy, the world’s “fastest AI training supercomputer”, has been built with assistance from G42, a UAE-based technology holding group. The machine is actually a network of nine interconnected AI supercomputers developed by US-based AI company Cerebras Systems.
Located in Santa Clara, California, the massive machine boasts 4 exaFLOPs of power and a staggering 54 million cores that will significantly reduce AI processing times.
G42 will use Condor Galaxy to train AI models across a variety of data sets and has already created and tested Arabic bilingual chat, healthcare, and climate study applications.
“Collaborating with Cerebras to rapidly deliver the world’s fastest AI training supercomputer and laying the foundation for interconnecting a constellation of these supercomputers across the world has been enormously exciting,” said Talal Alkaissi, CEO of G42 Cloud. “The partnership brings together Cerebras’ extraordinary compute capabilities, together with G42’s multi-industry AI expertise,” he added.
Training the latest AI models requires enormous computing power and specialized programming skills. ChatGPT, for example, relies on 175 billion parameters and uses 10,000 Nvidia GPUs to train its AI algorithms.
Condor Galaxy brings genuine innovation to these kinds of processes, as all computing is performed entirely without complex distributed programming languages. This means that large projects no longer require weeks or even months spent distributing work over thousands of GPUs.
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“Many cloud companies have announced massive GPU clusters that cost billions of dollars to build but are extremely difficult to use. Distributing a single model over thousands of tiny GPUs takes months from dozens of people with rare expertise,” noted Andrew Feldman, CEO of Cerebras Systems. “CG-1 eliminates this challenge. Setting up a generative AI model takes minutes, not months, and can be done by a single person” he added.
The G42 and Cerebras partnership marks another step toward the democratization of AI. The combination of massive computing power and unique AI data sets should produce groundbreaking results and turbocharge hundreds of AI projects around the world.
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Nano Banana 2 Arrives In MENA For Google Gemini Users
Google brings its latest image model to Gemini and Search, adding 4K output and tighter text control for regional users.
Google has opened access to Nano Banana 2 across the Middle East and North Africa, pushing its newest image model into everyday tools rather than keeping it inside the exclusive (and expensive) Pro tier.
The rollout spans the Google Gemini desktop and mobile apps, and extends to Google Search through Lens and AI Mode. Developers can also test it in preview via AI Studio and the Gemini API.
Nano Banana 2 runs on Gemini Flash, Google’s fast inference layer. The focus is speed, but also control. Users can export visuals from 512px up to 4K, adjusting aspect ratios for everything from vertical social posts to widescreen displays.
The model maintains character likeness across up to five figures and preserves fidelity for as many as 14 objects within a single workflow. This enables visual continuity across scenes, iterations, or edits — supporting projects like short films, storyboards, and multi-scene narratives. Text rendering has also been improved, delivering legible typography in mockups and greeting cards, with built-in translation and localization directly within images.
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Under the hood, the system taps Gemini’s broader knowledge base and pulls in real-time information and imagery from web search to render specific subjects more accurately. Lighting and fine detail have been upgraded, without slowing output.
By embedding the model inside Gemini and Search, Google is normalizing advanced image generation for a mass audience. In MENA, where startups and marketing teams are leaning heavily on AI to scale content across languages and borders, that shift lands at a practical moment.
The move also folds creative tooling deeper into search itself, so that image generation is no longer a separate workflow. It now sits right next to the query box.
Nano Banana 2 Arrives In MENA For Google Gemini Users
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