News
Qualcomm Unveils Latest Snapdragon 8 Gen 2 Processor
The new chip features hardware ray tracing, powerful AI capability, Wi-Fi 7, and a ton of raw power.
Qualcomm’s Snapdragon Tech Summit (held simultaneously in China and Hawaii) has kicked off in style this year, with the announcement of the company’s latest system-on-chip (SoC) smartphone processors. The newest line of chips is known as the Snapdragon 8 Gen 2 and will deliver significant improvements in performance and efficiency, as well as being what Qualcomm describes as “purpose-built for AI.”
The new chip boasts a 4.35x improvement in performance and a staggering 60% boost to its power-per-watt efficiency. Snapdragon 8 gen 2 will also feature dedicated AI processing in the modem portion of the chip, improving throughput and range, and supporting 10Gbps speeds.
Graphics (GPU) performance will also receive a considerable spec bump, with the new chip featuring an improved Adreno GPU with hardware ray tracing that only draws a measly 5w of power. According to Qualcomm, the updated GPU also supports “Vulkan 1.3, HDR Vivid, Adaptive HDR, OLED aging compensation, and Unreal Engine 5 MetaHumans, with a 25% increase in performance and power efficiency.”
Other upgrades to the Snapdragon 8 Gen 2 include Wi-Fi 7 connectivity, dual Bluetooth, a new 3.2GHz Arm Cortex X3 high-performance core, and support for dynamic spatial audio.
AI Processing Power

As well as a substantial overall boost to specs, Qualcomm is keen to show off Snapdragon 8’s AI engine, which features a dedicated power plane and double the power from the chip’s tensor processing cores. Thanks to a feature known as Hexagon Direct Link, fast, real-time AI processing will be possible, which will aid the chip when put to work on complex tasks such as text-to-speech, photography, and other power-hungry computational tasks.
Improved Sensor Hub
Finally, Qualcomm’s new Snapdragon 8 chip will also use its updated AI smarts to enable real-time monitoring, allowing devices equipped with the processor to utilize the camera even while sleeping. This feature will allow QR codes to be scanned, and add the ability to actively monitor user activity, meaning notifications won’t appear to unauthorized viewers.
So when can we expect manufacturers to start using the new Snapdragon chip? Qualcomm has already partnered with the likes of OnePlus, Motorola, Sony, and Asus. That means we might see newly updated phones shipping by the end of the year — though if you’re a Samsung fan, you might have to wait until 2023 to see the processor in action in the Galaxy S23 series.
News
Nano Banana 2 Arrives In MENA For Google Gemini Users
Google brings its latest image model to Gemini and Search, adding 4K output and tighter text control for regional users.
Google has opened access to Nano Banana 2 across the Middle East and North Africa, pushing its newest image model into everyday tools rather than keeping it inside the exclusive (and expensive) Pro tier.
The rollout spans the Google Gemini desktop and mobile apps, and extends to Google Search through Lens and AI Mode. Developers can also test it in preview via AI Studio and the Gemini API.
Nano Banana 2 runs on Gemini Flash, Google’s fast inference layer. The focus is speed, but also control. Users can export visuals from 512px up to 4K, adjusting aspect ratios for everything from vertical social posts to widescreen displays.
The model maintains character likeness across up to five figures and preserves fidelity for as many as 14 objects within a single workflow. This enables visual continuity across scenes, iterations, or edits — supporting projects like short films, storyboards, and multi-scene narratives. Text rendering has also been improved, delivering legible typography in mockups and greeting cards, with built-in translation and localization directly within images.
Also Read: RØDE Adds Direct iPhone Pairing To Wireless GO And Pro Mics
Under the hood, the system taps Gemini’s broader knowledge base and pulls in real-time information and imagery from web search to render specific subjects more accurately. Lighting and fine detail have been upgraded, without slowing output.
By embedding the model inside Gemini and Search, Google is normalizing advanced image generation for a mass audience. In MENA, where startups and marketing teams are leaning heavily on AI to scale content across languages and borders, that shift lands at a practical moment.
The move also folds creative tooling deeper into search itself, so that image generation is no longer a separate workflow. It now sits right next to the query box.
