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Apple’s New Wireless Chips Tighten Its Grip On The iPhone

The iPhone Air debuts Apple’s C1X and N1 chips, boosting 5G, Wi-Fi 7 and efficiency — another step toward full control of iPhone components.

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apple's new wireless chips tighten its grip on the iphone
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Apple used the launch of the iPhone Air to debut two in-house wireless chips — the C1X modem and N1 wireless processor — a move that signals its long-term plan to control every major component inside the iPhone.

The C1X modem handles sub-6GHz 5G and 4G LTE, doubling the performance of the C1 modem first seen in the iPhone 16e. Apple says it delivers those gains while drawing 30% less power — critical for the iPhone Air, which runs on a slimmer battery than other models. The company also made a pointed comparison: the C1X is faster than the Qualcomm modem inside last year’s iPhone 16 Pro, at least for equivalent cellular standards.

The N1 chip takes over Wi-Fi duties and adds Wi-Fi 7, Bluetooth 6 and Thread for smart-home accessories. Together, the C1X and N1 pair with the new A19 Pro processor. Instead of a raw spec string, the A19 Pro brings more CPU and GPU headroom alongside a larger Neural Engine — enough to put pro-class power into Apple’s thinnest handset yet.

Also Read: Apple’s iPhone 17 Launch: Air, Pro, AirPods Pro 3, And More

Beyond this year’s redesign, the chips show Apple’s steady push away from external suppliers. Reports last year suggested the company’s ultimate aim is a single combined modem-processor, though that’s still some way off. For now, the iPhone Air illustrates the trade-off: thinner design, more wireless range, and less reliance on anyone else’s silicon.

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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.

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nvidia puts gpt-5.5 codex in hands of 10000 staff
NVIDIA

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.

openai's new gpt-5.5 powers codex on nvidia infrastructure 2

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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