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Hub71 Accepts 16 New Tech Startups To Join Its Community

The selected startups specialize in industries including fintech, healthtech, foodtech, cleantech, and logistics.

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hub71 accepts 16 new tech startups to join its community
Hub71

Launched back in 2019 as a means of bringing together investors, organizations, and strategic partners, the tech ecosystem known as Hub71 has recently accepted 16 new startups into its fold from the USA, UK, Italy, and more to further the progress of innovation and entrepreneurship in Abu Dhabi. The recent news comes as the company plans to expand its operational reach, scaling into other markets along with the UAE.

Over the next two years, the new startup additions will join Hub71’s incentive program that will include large-scale funding, access to a rich ecosystem of academic and corporate investors, and potential government partners. The latest round of financing at Hub71 has raised $467 million overall and will help drive progress in diverse industries, including fintech, healthtech, cleantech, edtech, foodtech, and logistics.

“Our value-driven programs continue to attract high-tech startups to Abu Dhabi that are driving transformation within key sectors of the economy. As partners to over 170 startups in our community, we always strive to connect founders to our global network of blue-chip corporations, government bodies, and investors. With our ability to unlock real growth opportunities for founders, we expect this new cohort to gain tremendous traction over the next few months within the vibrant tech ecosystem that Abu Dhabi offers,” says Badr Al-Olama, Acting CEO of Hub71.

Also Read: Disney+ Releases New MENA Content In September

Hub71’s startups include the Green Future Project, a platform supporting climate projects that track and trace environmental impact, Amwal, a platform enabling people to pay or send money based on their phone number, and Abhi, a fintech startup that lets salaried employees draw on their wages when needed.

In the first half of 2022, Hub71 helped startups land deals worth $700 million in revenues through the ecosystem’s corporate partners. Hub71 has also helped create around 1000 jobs.

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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.

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nvidia puts gpt-5.5 codex in hands of 10000 staff
NVIDIA

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.

openai's new gpt-5.5 powers codex on nvidia infrastructure 2

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.

Also Read: Deezer Says AI Tracks Now Make Up 44% Of Uploads

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.

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