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Intel’s New Arc GPUs Are A Performance Bargain
The new graphics cards deliver high performance for gaming and creative applications at a very reasonable price.
Have you been frustrated at the crazy prices being asked for GPUs these days? For many content creators and gamers, even mid-range graphics cards have become prohibitively expensive over the last few years.
If you’re planning a GPU upgrade in the near future, we have some excellent news: Intel’s new Arc 7 graphics cards seem to offer the perfect combination of high power and modest cost. The long-awaited Arc A770 and A750 GPUs offer 32 Xe and 28 Xe cores, respectively, with at least 8GB of memory. Intel claims that the Arc A750 will outperform an Nvidia RTX 3060 — and the best part is that the new card will retail for under $350.
If you’re less interested in building a PC from scratch, and would rather purchase a pre-made system, don’t worry — Intel’s Arc GPUs are already creeping into various readymade machines:
- The ABS Stratos Aqua system is a fantastic gaming rig. With the onboard Intel GPU’s Xe SuperSampling technology, Counter Strike missions are guaranteed to look silky smooth, with realistic shadows and reflection detail.
- The Thermaltake LCGS Quartz features an Intel Arc A750 GPU and will help creatives make better content in less time. AV1 hardware encoding support and Intel’s XMX AI capabilities make 3D animation and editing effortless.
- The iBUYPOWER SlateHako2120i desktop would make a fantastic choice for gamers who like to live stream their sessions. Intel’s Deep Link technology features built-in background removal, auto camera framing, and plenty of options that make it simple to stream like a pro.
As you can see, Intel’s new cards should add plenty of variety to the current PC landscape, especially at such competitive prices. Whether you’re looking for a killer new gaming rig, a video editing powerhouse, or a content creation beast, these new GPUs are definitely worth checking out.
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.
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.
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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