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Startup Funding At Abu Dhabi’s Hub71 Reaches $871M
According to the deputy chief executive, companies within the organization have generated over $680 million and created hundreds of direct jobs.
Hub71, Abu Dhabi’s global technology ecosystem, has raised more than $871 million in funding for startups and created 800 jobs since its creation in 2019, until September of this year, according to the latest figures. The organization now boasts around 200 members, and is contributing significantly to the region’s economy, intending to grow 20 startups into companies worth over $1 billion.
“There was a resurgence in investor interest at Hub71 after the effects of the COVID-19 pandemic wore off. The momentum has been helping the ecosystem and partner network to support Abu Dhabi, which is increasingly positioning itself as one of the global epicenters of technology. There was a huge thirst to get out there to engage with partners to identify opportunities, and that momentum continues to this day,” says Ahmad Alwan, Hub71 deputy chief executive.
Abu Dhabi has invested heavily in initiatives that contribute to technology and innovation, and Hub71, in particular, is helping the country to promote entrepreneurship as the UAE government aims to become “the entrepreneurial nation by 2031“.
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Globally, the money generated by startups is close to $3 trillion — a staggering figure that almost matches the output of the G7 economy — Mr. Alwan said Hub71 had “several initiatives in the pipeline that are being planned with its partners”, which are rumored to include wealthy venture capital companies and funds, with the hope that one day, a local Abu Dhabi startup will become a global technology corporation.
Hub71 is open to the idea of expanding its “bilateral relationships” with partners in different regions, though right now, the ecosystem is focused on helping to develop its member companies by taking advantage of its existing partnerships.
In August, Hub71 welcomed 16 new startups to its platform and recently joined forces with Siemens Energy to support Abu Dhabi’s fight against climate change.
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NVIDIA Puts GPT-5.5 Codex In Hands Of 10,000 Staff
The chipmaker has significantly expanded OpenAI’s latest model across teams from engineering to HR under tight internal controls.
NVIDIA has started rolling out OpenAI’s GPT-5.5 model through the Codex coding agent to more than 10,000 employees, extending the tool well beyond software teams and into core business functions.
The deployment covers engineering, product, legal, marketing, finance, sales, HR, operations and developer programs. Staff are using Codex for coding, internal research and routine knowledge work as companies test whether AI agents can move from demos to daily use.
GPT-5.5 is running on NVIDIA’s GB200 NVL72 rack-scale systems, linking OpenAI’s newest model directly to the chipmaker’s latest infrastructure push. NVIDIA said the systems cut cost per million tokens by 35 times and raise token output per second per megawatt by 50 times versus earlier generations.

Inside the company, it says the effects are immediate. Debugging work that once took days is being finished in hours and experiments across large codebases that used to stretch over weeks are now handled overnight. Teams are also building features from natural-language prompts with fewer failed runs.
In a company-wide note urging staff to adopt the tool, CEO Jensen Huang wrote: “Let’s jump to lightspeed. Welcome to the age of AI.”
Security remains central to the rollout. Codex can connect through Secure Shell to approved cloud virtual machines, allowing agents to work with company data without moving it outside approved environments. NVIDIA said it assigned cloud VMs to employees so agents run in isolated sandboxes with full audit trails.
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The company added that the setup uses a zero-data-retention policy. Access to production systems is read-only through command-line tools and internal automation layers.
The move also highlights NVIDIA’s long relationship with OpenAI. NVIDIA said the partnership began in 2016, when Huang personally delivered the first DGX-1 AI supercomputer to OpenAI’s San Francisco office.
The two companies have since worked across hardware and model deployment. NVIDIA also said OpenAI plans to deploy more than 10 gigawatts of NVIDIA systems for future AI infrastructure.
For Gulf markets pouring money into sovereign AI and enterprise automation, the signal is clear: internal AI agents are moving from pilot phase to standard tooling.
