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Joby To Establish All-Electric Air Taxi Ecosystem Across The UAE
The comprehensive agreement with Abu Dhabi’s government includes a training program, infrastructure development, and a manufacturing presence.
All-electric aircraft company Joby Aviation has secured three separate agreements with departments of Abu Dhabi’s government that lay the groundwork to develop and scale air taxi services in the Emirate and beyond.
The deal was signed at the recent DRIFTx thought-leadership and exhibition platform and gave Joby exclusive rights to not only operate air taxi services in Dubai but also unlock inter-emirate services between Abu Dhabi.
Joe Ben Bevirt, founder and CEO of Joby Aviation, said: “Today’s agreement demonstrates the incredible momentum behind the adoption of clean flight across the UAE. We’re looking forward to delivering a fantastic experience for our future customers in Abu Dhabi and we’re excited to be unlocking the potential for zero-emissions flight between Abu Dhabi and Dubai. We’re grateful for the support and collaboration of our governmental partners and the entire ecosystem in Abu Dhabi and we remain deeply impressed by their commitment to building out a world-class aviation ecosystem in the Emirate”.
Joby’s all-electric aircraft went on display for the first time in Abu Dhabi’s Yas Marina at the DRIFTx event. The air taxi is designed to carry a pilot and four passengers and can reach speeds of 200 miles per hour (321 km/h). The zero-emission craft is said to have an extremely low acoustic footprint and can travel a maximum of 100 miles (161 km) on a single charge.
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Once operational, Joby’s air taxi fleet would enable fast, clean travel across the UAE, with journeys between Abu Dhabi to Dubai taking just 30 minutes compared with two hours by car during peak times.
Joby continues to work closely with the UAE’s General Civil Aviation Authority (GCAA) to help the Emirates become a world leader in the introduction of air taxis. Additional testing and analysis will be required before inter-emirate travel becomes a reality, but the cutting-edge technology already appears to have great potential.
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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.
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