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Intel’s New Core i9 Desktop CPU Breaks Another Speed Record
The i9-14900K packs 24 cores and 32 threads of raw processing power.
Intel has broken another speed record with its latest desktop CPU. The company’s new Core i9-14900KS processor can reach speeds of up to 6.2GHz without overclocking, making it the fastest desktop CPU available to PC enthusiasts. The milestone beats another Intel record from last year, where its last processor maxed out at a still impressive 6GHz.
In addition to record-breaking clock speed, the i9-14900KS also boasts a 24-core, 32-thread architecture along with a 36 megabyte Smart Cache, which is a proprietary Intel technology that shares cache memory between the different cores. Intel says the feature allows for “powerful performance in gaming and content creation workloads”.
The i9-14900K also makes use of Intel’s Thermal Velocity Boost, which is a feature of 11th generation and later Intel Core chips that maxes out the clock frequency by 100 MHz when temperatures are below 70 degrees C, or 158 degrees F.
As for real-world statistics, the company is confident that gamers will enjoy up to 15% better performance. Content creators will also be happy to hear that complex workflows will receive a massive 73% boost. The i9-14900KS is compatible with the latest Z790 and Z690 motherboards, but Intel recommends ensuring the bios is updated to ensure optimum results.
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Although the speed of Intel’s i9 is impressive, a team from ASUS ROG has already claimed another four world records by overclocking the new chip, pushing the CPU to a frankly astounding 9.1 GHz.
The Core i9-14900KS is available from stores today and starts at $700. The chip will be available for DIY PC builders as a standalone item but should soon find its way into OEM systems very soon.
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.
NVIDIA Puts GPT-5.5 Codex In Hands Of 10,000 Staff
Deezer Says AI Tracks Now Make Up 44% Of Uploads
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