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Japan Sets A New Internet Speed Record With 319 Terabits Per Second
That’s around 7.6 million times faster than the internet connection you probably have at home.
Don’t you sometimes wish your internet speed was a bit faster when browsing the web, streaming online content, playing multiplayer games, or participating in a video conference? Most people do, including scientists at Japan’s National Institute of Information and Communications Technology (NICT). Recently, NICT set a new internet speed record when a group of its scientists successfully transferred data at 319 Terabits per second (Tbps) over a simulated 3,001-kilometer distance.
To put the record-breaking data transfer speed into perspective, the average fixed broadband download speed worldwide currently sits around 100 Mbps, which is around 3 million (yes, million) times slower. The new record is a significant achievement even as far as internet speed records go because it’s almost double the previous world record (179 Tbps), which was achieved by British and Japanese researchers in August 2020.
Transmitting data at such an unimaginably fast speed required plenty of innovation and cutting-edge technologies. Whereas typical fiber-optic cables have just one core designed for light transmission, the cable used by the team of Japanese researchers who set the new record had four cores. The transmitted data was fired using a 552-channel comb laser at multiple wavelengths and given a boost by rare earth amplifiers.
Since the entire test took place under laboratory conditions, you shouldn’t expect your local internet service provider to follow suit in the near future by implementing similar technologies due to their cost. The most likely real-world applications of the cutting-edge system involve high-speed backbone communication.
Also Read: Super Fast 6G Connectivity Is Closer Than You Think
“It is hoped that such fibers can enable practical high data-rate transmission in the near-term, contributing to the realization of the backbone communications system necessary for the spread of new communication services beyond 5G,” write NICT researchers.
Considering how much we’ve progressed since Caltech set its 186 Gbps internet speed record in 2011, we can’t help but imagine where we’ll be in another decade or two.
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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