A new industrial-grade edge server from Netport Systems leverages Intel’s latest Core Ultra processor with integrated AI acceleration. The ruggedized system targets demanding industrial environments requiring high-performance AI inference at the edge.
Akamai Technologies is making a strategic pivot from content delivery to AI inference with its new Nvidia-powered cloud platform. The company aims to leverage its massive edge network to bring AI processing closer to end users. This move signals a fundamental shift in how enterprises will deploy and
China has submerged a $226 million data center off Shanghai’s coast, powered by offshore wind and claiming massive energy savings. But scientists warn the heat exchange could trigger toxic algae blooms and harm marine ecosystems. Is this innovation worth the environmental risk?
As the AI revolution accelerates, companies are discovering that the real bottleneck isn’t computing power or data—it’s human expertise. The battle for top AI talent has become the defining competitive landscape of our technological future.
Technology journalists have discovered a workaround using existing GPU capabilities to capture 4K-resolution screenshots on standard 1080p monitors. The method leverages NVIDIA’s Dynamic Super Resolution and AMD’s Virtual Super Resolution features to render at higher resolutions before scaling down for display. Sources indicate this provides professional-grade image quality without monitor upgrades.
Technology professionals working with visual content have long faced a quality dilemma: how to produce high-resolution screenshots without investing in expensive 4K monitors. According to recent reports from industry sources, many content creators and technical writers continue using 1080p displays for daily work while needing higher resolution output for professional screenshots. The challenge, analysts suggest, stems from how Windows handles native resolution detection, limiting available options to what the physical monitor can display.
Qualcomm’s new Snapdragon 6s Gen 4 chipset reportedly brings significant performance improvements to budget Android devices. According to industry reports, the processor offers up to 36% faster CPU performance and enables 144 FPS gaming. The advancement could reshape the competitive landscape for smartphones under $300.
Budget Android phones are about to get a whole lot more capable, according to recent industry reports. Qualcomm has reportedly unveiled its Snapdragon 6s Gen 4 processor, bringing what sources describe as the most substantial performance upgrade to affordable smartphones in recent memory. For consumers who’ve traditionally had to choose between price and performance, this development could fundamentally change the value proposition in the sub-$300 segment.
A new benchmark leak reveals Intel’s Core Ultra 5 338H Panther Lake processor featuring an Arc B370 integrated GPU. The naming convention marks a significant departure from previous generations, suggesting Intel may be unifying its graphics branding. Early performance data shows the chip undergoing validation testing ahead of expected 2025 launch.
Intel’s next-generation Panther Lake mobile processors are beginning to show up in public benchmarks with some unexpected branding changes. The latest sighting, spotted in the Geekbench database, reveals a Core Ultra 5 338H configuration that identifies its integrated graphics as “Intel Arc B370” – a notable departure from how the company has labeled its onboard GPUs in recent generations.
NextSilicon is deploying its adaptive computing hardware in real-world systems through the Vanguard-2 supercomputing program. The company claims its chips deliver significantly better performance per watt than competing solutions from Nvidia and Intel.
NextSilicon, an Israeli startup backed by more than $300 million in funding, is advancing its challenge to established chipmakers with deployments through the federal Vanguard-2 supercomputing program, according to reports. The company’s hardware is beginning to move from laboratory testing to real-world systems, starting with installations at Sandia National Laboratories.
The Current State of AWS in the AI Cloud Landscape Recent analysis from Wall Street suggests Amazon Web Services (AWS)…
The Strategic Convergence of Ray and PyTorch The AI development landscape is witnessing a significant consolidation as Ray, the popular…
