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Meta & Startupbootcamp Program Will Promote MENA Startups
The initiative will encourage AI adoption through a series of workshops and bootcamps and offer $500,000 to support product development.
Facebook and Instagram owner Meta has begun a collaboration with Startupbootcamp, a startup accelerator responsible for over 1,600 successful launches.
The strategic partnership aims to boost the MENA region’s startup scene using cutting-edge AI technologies through its Llama Design Drive initiative.
The program consists of three four-week sprints that will take place across the United Arab Emirates, Saudi Arabia, and Egypt. Llama Design Drive highlights include workshops and mentorship sessions and strategic partnerships with industry thought leaders.
The program by Meta and Startupbootcamp hopes to bridge the gap between established companies and the dynamic AI startup sector. To that end, Llama Design Drive will promote the use of Meta’s open-source large language model, Llama 3.1, helping companies develop products that tackle “real-world challenges in mobility, aviation, energy distribution, retail, and real estate”.
Startups recruited into the Llama Design Drive program will get the opportunity to be fast-tracked into a global initiative sponsored by Meta and have the chance to win up to $500,000 to support future product development.
“Our program not only promotes the adoption of AI technologies to develop solutions for corporate challenges but also facilitates connections between startups, corporates, and industry experts to expand networks and gain valuable knowledge and technical skills,” explained Ibrahim “Abe” Seksek, CEO MENA at Startupbootcamp.
Also Read: The Most AI-Proof Career Opportunities In The Middle East
“The whole world is excited to see how AI can add value to people’s lives,” added Joulan Abdul Khalek, Policy Programs Manager, Africa Middle East and Turkey at Meta. “Llama Design Drive is a great example of how open source can bring people together to co-create meaningful AI solutions. By doing so, we hope to cultivate a thriving community of tech talent across the region, working with them to unlock the potential of these exponential technologies to address real-world challenges”.
The MENA region — and the Middle East in particular — is ideally positioned for AI sector dominance, with both governments and businesses scrambling to adopt advanced technologies. In real terms, the Middle East as a whole is expected to reap 2% of the total worldwide benefits of AI by 2030, with annual growth surging to 20-34% across the region.
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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.
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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