Applications
Cerebras and G42 Break Ground on Condor Galaxy 3, an 8 exaFLOPs AI Supercomputer
Mumbai– Cerebras Systems, the pioneer in accelerating generative AI, and G42, the Abu Dhabi-based leading technology holding group, today announced the build of Condor Galaxy 3 (CG-3), the third cluster of their constellation of AI supercomputers, the Condor Galaxy. Featuring 64 of Cerebras’ newly announced CS-3 systems – all powered by the industry’s fastest AI chip, the Wafer-Scale Engine 3 (WSE-3) – Condor Galaxy 3 will deliver 8 exaFLOPs of AI with 58 million AI-optimized cores.
The Cerebras and G42 strategic partnership already delivered 8 exaFLOPs of AI supercomputing performance via Condor Galaxy 1 and Condor Galaxy 2, each amongst the largest AI supercomputers in the world. Located in Dallas, Texas, Condor Galaxy 3 brings the current total of the Condor Galaxy network to 16 exaFLOPs.
“With Condor Galaxy 3, we continue to achieve our joint vision of transforming the worldwide inventory of AI compute through the development of the world’s largest and fastest AI supercomputers,” said Kiril Evtimov, Group CTO of G42. “The existing Condor Galaxy network has trained some of the leading open-source models in the industry, with tens of thousands of downloads. By doubling the capacity to 16 exaFLOPs, we look forward to seeing the next wave of innovation Condor Galaxy supercomputers can enable.”
At the heart of Condor Galaxy 3 are 64 Cerebras CS-3 Systems. Each CS-3 is powered by the new 4 trillion transistor, 900,000 AI core WSE-3. Manufactured at TSMC at the 5-nanometer node, the WSE-3 delivers twice the performance at the same power and for the same price as the previous generation part. Purpose built for training the industry’s largest AI models, WSE-3 delivers an astounding 125 petaflops of peak AI performance per chip.
“We are proud that our newly announced CS-3 systems will play a critical role in our pioneering strategic partnership with G42,” said Andrew Feldman, CEO and co-founder of Cerebras. “Condor Galaxy 3 and the follow-on supercomputers, will together deliver tens of exaflops of AI compute This marks a significant milestone in AI computing, providing unparalleled processing power and efficiency.”
Condor Galaxy has trained state-of-the art industry leading generative AI models, including Jais-30B, Med42, Crystal-Coder-7B and BTLM-3B-8K. Jais 13B and Jais30B are the best bilingual Arabic models in the world, now available on Azure Cloud. BTLM-3B-8K is the number one leading 3B model on HuggingFace, offering 7B parameter performance in a light 3B parameter model for inference. Med42, developed with M42 and Core42, is a leading clinical LLM, trained on Condor Galaxy 1 in a weekend and surpassing MedPaLM on performance and accuracy.
Applications
With 57 per cent single new users, Ashley Madison rebrands as discreet dating platform
Platform says majority of new members now identify as single
INDIA: Ashley Madison is shedding the “married-dating” label that defined it for two decades, repositioning itself as a platform for discreet dating in what it calls the post-social media age.
The rebrand, unveiled in India on 27 February, 2026, marks a structural shift in business model and identity. Once synonymous with married dating, the company now describes itself as the “premier destination for discreet dating” under a new tagline: Where Desire Meets Discretion.
The pivot is data-driven. Internal figures show that 57 per cent of global sign-ups between 1 January and 31 December, 2025 identified as single: a notable departure from the platform’s married core. The company argues that its community has already evolved beyond its original positioning.
“In an age where our lives have been constantly put on public display, privacy has become the new luxury,” said Ashley Madison chief strategy officer Paul Keable. He framed the platform’s offering as “ethical discretion” for singles, separated, divorced and non-monogamous users seeking private connections.
The shift also taps into wider digital fatigue. A global survey conducted by YouGov for Ashley Madison, covering 13,071 adults across Australia, Brazil, Canada, Germany, India, Italy, Mexico, Spain, Switzerland, the UK and the US, found mounting discomfort with hyper-public online lives.
Among dating app users, 30 per cent cited constant swiping and messaging as a source of fatigue, while 24 per cent pointed to pressure to curate public-facing profiles and early personal disclosure. Some 27 per cent said fears of screenshots or information being shared contributed to exhaustion; an equal share cited unwanted attention.
The retreat from oversharing appears broader. According to the survey, 46 per cent of adults actively try to keep most aspects of their life private online. Only 8 per cent feel comfortable sharing most aspects publicly, while 35 per cent say they are becoming more selective about what they disclose.
Ashley Madison is betting that this cultural recalibration towards controlled visibility can be monetised. By doubling down on privacy infrastructure and reframing itself around discretion rather than infidelity, the company is attempting to convert reputational baggage into a premium proposition.
