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UAE Deploys First Fleet Of Driverless Electric Cargo Trucks
The rollout of driverless commercial vehicles in Ras Al Khaimah, spearheaded by Evocargo and RAK Ceramics, marks a first for UAE logistics.
The UAE has put its first commercial fleet of driverless electric cargo trucks on the road, marking a step change for the country’s logistics sector. The rollout, led by Evocargo with RAK Ceramics, is taking place in the Al Jazeera Al Hamra industrial zone in Ras Al Khaimah, a hub for large-scale manufacturing and transport projects.
Evocargo’s unmanned N1 trucks are now moving ceramics and sanitary ware between RAK Ceramics sites. Each vehicle can travel up to 200 kilometers per charge and recognizes road signs, crossings, and obstacles in real time. It’s the first time autonomous trucks have been used commercially in the UAE, a move that places the country among a small group of markets deploying driverless freight at scale.
The N1 runs on Evocargo’s fifth-generation autopilot and an AI-based multi-sensor system using LIDAR, sonar, and cameras to interpret surroundings and react instantly to changing road conditions. A four-layer safety framework underpins the system, designed to ensure both reliability and data accuracy. The trucks operate around the clock, pausing only to charge while loading or unloading.
“This launch proves autonomous, zero-emission transport is no longer a concept, but a viable solution for daily commercial operations,” said Shaheem Musthafa, CEO of Evocargo Autonomous Logistic Services in the UAE. “Our Robots-as-a-Service model makes this innovation accessible and scalable, offering businesses subscription-based access to autonomous vehicles without upfront costs”.
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RAK Ceramics said the shift supports both operational efficiency and sustainability targets. “By adopting these advanced technologies, we are enhancing operational performance and efficiency, as well as contributing to a reduced carbon footprint,” the company noted.
The project reflects the UAE’s wider push toward smart mobility and decarbonization under Vision 2030. It also signals how the country’s industrial zones are becoming testbeds for automation and AI-driven logistics across the wider MENA region.
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.
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