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YallaHub Teams Up With Lapochka For Future UAE Expansion
The quick-commerce as a service platform will allow the drink producer to distribute its revolutionary AI-generated lemonade in new UAE markets.
YallaHub, a leading “quick-commerce as a service” (QAAS) platform, has partnered with drinks producer Lapochka to add artificial intelligence to its product development and aid plans for UAE expansion. The partnership will utilize YallaHub’s full suite of services, including fulfillment, logistics, payment gateway integration, customer support, and last-mile delivery.
Lapochka recently hit the headlines after launching a groundbreaking AI-generated lemonade. The company’s beverage makers used a neural network to analyze consumer preferences, sales data, and reviews to craft the perfect soft drink recipe. The resulting concoction sticks to the brand’s commitment to natural ingredients and features an eye-catching “robot apple” design concept.
“We are constantly seeking methods to surprise and delight our customers with unique and innovative products,” explained Lapochka CEO Anton Balyklov. “This AI-created beverage allows us to introduce consumers of all ages to the latest technologies in a fun and delicious way. Partnering with YallaHub empowers us to potentially expand our reach and share this exciting innovation with a wider audience in the MENA region”.
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The partnership between YallaHub and Lapochka aims to push the boundaries of the beverage industry. With a strong focus on natural ingredients and refreshing taste, the new AI-designed beverage should also be a perfect fit for the booming UAE drinks market — projected to hit $23.2 billion in value by 2025.
By combining Lapochka’s new-found expertise in AI-driven product development with YallaHub’s established MENA presence, the collaboration could potentially revolutionize consumer experience across the region. By the end of 2024, Lapochka plans to establish itself in several major UAE marketplaces, hoping to achieve sales of over 100,000 cans per year.
News
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.
