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UAE’s Yahsat Introduces Smartphone-To-Satellite Connectivity
The service also allows seamless connectivity for IoT (Internet of Things) devices, and works irrespective of geographical location.
Yahsat, a satellite services firm based in Abu Dhabi, has initiated a groundbreaking service known as “direct-2-device”, enabling seamless connectivity for smartphones and IoT (Internet of Things) devices, irrespective of geographical location.
In its initial phase, Yahsat aims to provide voice and messaging services within the current year, with plans to expand its offerings to include texting and IoT functionalities on smartphones by 2025, utilizing the forthcoming Yahsat Geostationary Earth Orbit (GEO) satellites, slated for launch later in the year.
A subsequent phase, dubbed Project BlueStar, is set to facilitate comprehensive direct-to-device connectivity through an adaptable satellite network.
This two-phase deployment encompasses voice, messaging, and data. Yahsat is set to provide a sneak peek of its D2D portfolio at the Mobile World Congress 2024 in Barcelona later this month.
The integration of satellite-linked features into mobile devices is gaining traction. Owners of Apple’s iPhone 14, iPhone 14 Pro, iPhone 15, or iPhone 15 Pro can already connect to satellites for emergency texting services, and similar connectivity may soon become a standard smartphone feature.
“We are excited to launch our D2D strategy to revolutionize our industry by providing billions of people, organizations and businesses across various sectors with seamless, reliable and efficient access to connectivity,” said Ali Al Hashemi, Group CEO.
“This strategy is a critical and significant part of Yahsat’s wider growth strategy. We developed our D2D strategy – Project SKY, by carefully examining our strengths and capabilities and leveraging our expertise to capitalize on evolving market conditions,” he added.
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Yahsat’s five satellites currently cover over 80% of the global population and deliver C, Ku, Ka, and L-band satellite communication solutions to consumers, governments, and businesses across various land, maritime, and aerospace platforms.
In 2020, Yahsat commenced the construction of Thuraya 4, an advanced telecommunications system for Thuraya, scheduled for launch in 2024 and operational by 2025. Additionally, construction began last year on two ‘software-defined’ telecommunication satellites, Al Yah 4 and Al Yah 5, anticipated to be launched in 2027 and 2028, respectively.
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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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