Gigabyte, the world's leading computer brand, proudly announces that the AORUS Z890 series motherboards are now officially available for purchase. Designed to maximize the performance of the latest Intel Core Ultra processors, the groundbreaking D5 Bionic Corsa technology was introduced along with advanced thermal management and optimized power design on these boards. GIGABYTE's continuous partnership with HWiNFO further enhances the boards with real-time monitoring of CPU vCore power phase outputs and efficiency. With these powerful boards now on sale, users can enjoy unmatched performance and seamless customization, making them the ideal platform for enthusiasts and professionals.

D5 Bionic Corsa is the core technology for AORUS Z890 series motherboards, which leverages AI-enhanced innovations across software, hardware, and firmware to boost DDR5 memory speeds to an unprecedented 9500+ MT/s. The AI SNATCH Engine, powered by advanced AI overclocking models, optimizes configurations for DDR5 XMP memory and CPUs, enabling up to 20% faster speeds. With XMP AI BOOST and CPU AI BOOST, users can achieve world-class overclocking performance with just one click. The AI-driven PCB Design enhances signal integrity by reducing reflection by 28.2%, while HyperTune BIOS fine-tunes the Memory Reference Code (MRC) for peak performance. The VRM Thermal Balance mechanism ensures heat dissipation across the VRM with a heatpipe design, while optimized PWM firmware balances current output for superior stability.

In the world where the largest companies are riding the AI train, the biggest of them all—Apple—seemed to stay quiet for a while. Even with many companies announcing their systems/models, Apple has stayed relatively silent about the use of LLMs in their products. However, according to Bloomberg, Apple is not pushing out an AI model of its own; rather, it will license Google's leading Gemini models for its iPhone smartphones. Gemini is Google's leading AI model with three variants: Gemini Nano 1/2, Gemini Pro, and Gemini Ultra. The Gemini Nano 1 and Nano 2 are designed to run locally on hardware like smartphones. At the same time, Gemini Pro and Ultra are inferenced from Google's servers onto a local device using API and the internet.

Apple could use a local Gemini Nano for basic tasks while also utilizing Geminin Pro or Ultra for more complex tasks, where a router sends user input to the available model. That way, users could use AI capabilities both online and offline. Since Apple is readying a suite of changes for iOS version 18, backed by Neural Engine inside A-series Bionic chips, the LLM game of Apple's iPhones might get a significant upgrade with the Google partnership. While we still don't know the size of the deal, it surely is a massive deal for Google to tap into millions of devices Apple ships every year and for Apple to give its users a more optimized experience.

Apple CEO, Tim Cook, discussed planned generative AI software features during an early February earnings call: "As we look ahead, we will continue to invest in these and other technologies that will shape the future. That includes artificial intelligence, where we continue to spend a tremendous amount of time and effort, and we're excited to share the details of our ongoing work in that space later this year." His "prepared" statement did not provide any specific insights into involved technologies, but many iPhone experts believe that the upcoming release of iOS 18 could be "the biggest update" in Apple mobile operating system history. The American multinational technology giant is seemingly taking a relaxed approach with internal artificial intelligence developments—rival smartphone maker, Samsung, has already jumped into the on-the-go AI deep end with its recently launched Galaxy S24 series. Qualcomm's Snapdragon 8 Gen 3 (for Galaxy) chipset is ready to take on all sorts of artificial intelligence-augmented tasks, while a next-gen ARM Cortex-X "Blackhawk" unit (leveraging "great" LLM performance) is in the pipeline for a late 2024 rollout.

Taiwan's Economic Daily News has reached out to insider contacts, albeit on the hardware side of things—their sources reckon that Apple is working on next generation processors that sport "significantly upgraded Neural Engine performance with additional cores." Tipsters believe that plans for 2024 include an effort to "significantly strengthen the AI computing power of the (existing) M3 and A17 processors," while the true "new generation" M4 and Bionic A18 chipsets will be augmented with greater AI computing core counts. Taiwan's top foundry is reportedly in the mix: "Apple has strengthened the AI computing performance of mobile devices and greatly increased the computing power of its own processors, which has simultaneously increased its wafer investment in TSMC. According to industry sources, Apple's wafer production volume for TSMC's 3 nm enhanced version process this year is expected to increase by more than 50% compared with last year, making it firmly the largest customer of TSMC."

A DigiTimes Asia report posits that TSMC is preparing another VVIP foundry lane for Apple Inc.—insiders claim that the Taiwanese foundry giant is in the process of expanding production capacity into next generation 2 nm nanometer fields. This expensive and time consuming endeavor is only made possible with the reassurance of big customers being added to the foundry's order books. TSMC's 2 nm-class N2, N2P, and N2X process technologies are due in 2025 and beyond (according to recent presentation slides)—these advanced packages are set to drop with all sorts of innovations: nanosheet gate-all-around (GAA) transistors, backside power delivery, and super-high-performance metal-insulator-metal (SHPMIM). According to a DigiTimes source "Apple is widely believed to be the initial client to utilize the (next-gen) process."

Apple and NVIDIA were reported to be ahead of many important clients in the queue for TSMC's 3 nm process nodes, so it is not surprising to see old patterns repeat (according to industry rumors) again. Apple is expected to update its next generation iPhones, iPad, and Mac laptop product lines with more advanced Bionic and M-series chipsets in 2025. Last year's roster included a rollout of 3 nm TSMC silicon across Apple A17 Pro and M3 ARM-based processors.

A technology tipster has been dropping multiple tidbits this week about Qualcomm's upcoming Snapdragon 8 Gen 3 mobile chipset - this follows a leak (from a different source, going back to mid-April) about the next generation Adreno 750 GPU getting tuned up for a battle against Apple's Bionic A17 in terms of graphics benchmarks. The latest leak points to the GPU being clocked at 900 MHz, rather than the rumored higher figure of 1.0 GHz speed (garnered from tests at Qualcomm's labs). The focus has now turned to the next generation flagship Snapdragon's CPU aspect, with information emerging about core clock speeds and multiple cluster configurations.

Revegnus suggests that the Snapdragon 8 Gen 3 (SD8G3) chipset will be packing a large primary core in the shape of Arm's Cortex-X4 CPU with a reported maximum clock speed of 3.40 GHz. Leaks from the past have posited that the SD8G3 would feature a fairly standard 1x Large + 5x Big + 2x Small CPU core layout (with clocks predicted to be: large Cortex X4 at 3.2 GHz, big Cortex-A720 at 3.0 GHz, and small Cortex-A520 at 2.0 GHz). An insider source has provided Revegnus with additional information about two different CPU core configurations - 1+5+2 and 2+4+2 - it is theorized that smartphone manufacturers will be offered the latter layout as an exclusive option for special edition flagship phones. The more powerful 2+4+2 variant is said to sacrifice a big core (A720) in favor of a dual Cortex X4 headliner, although the resultant thermal output of twin large cores could prove to be problematic.

An online tipster, posting on the Chinese blog site Weibo, has let slip that Qualcomm's upcoming Snapdragon 8 Gen 3 mobile chipset is touted to pack some hefty graphical capabilities. The suggested Adreno "750" smartphone and tablet GPU is touted to offer a 50% increase over the present generation Adreno 740 - as featured on the recently released and cutting-edge Snapdragon 8 Gen 2 chipset. The current generation top-of-the-range Snapdragon is no slouch when it comes to graphics benchmarks, where it outperforms Apple's prime contender - the Bionic A16 SoC.

The Snapdragon 8 Gen 3 SoC is expected to launch in the last quarter of 2023, but details of the flagship devices that it will power are non-existent at the time of writing. The tipster suggests that Qualcomm has decided to remain on TSMC's 4 nm process for its next generation mobile chipset - perhaps an all too safe decision when you consider that Apple has upped the stakes with the approach of its Bionic A17 SoC. It has been reported that the Cupertino, California-based company has chosen to fabricate via TSMC's 3 nm process, although the Taiwanese foundry is said to be struggling with its N3 production line. The engineers at Qualcomm's San Diego headquarters are alleged to be experimenting with increased clock speeds running on the next gen Adreno GPU - as high as 1.0 GHz - in order to eke out as much performance as possible, in anticipation of besting the Bionic A17 in graphics benchmarks. The tipster theorizes that Qualcomm will still have a hard time matching Apple in terms of pure CPU throughput, so the consolation prize will lie with a superior GPU getting rigged onto the Snapdragon 8 Gen 3.

Apple's engineering team is rumored to be adjusting performance targets set for its next generation mobile SoC - the A17 Bionic - due to issues at the TSMC foundry. The cutting edge 3 nm process is proving difficult to handle, according to industry tipsters on Twitter. The leaks point to the A17 Bionic's overall performance goals being lowered by 20%, mainly due to the TSMC N3B node not meeting production targets. The factory is apparently lowering its yield and execution targets due to ongoing problems with FinFET limitations.

The leakers have recently revealed more up-to-date A17 Bionic's Geekbench 6 scores, with single thread performance at 3019, and multi-thread at 7860. Various publications have been hyping the mobile SoC's single thread performance as matching that of desktop CPUs from Intel and AMD, more specifically 13th-gen Core i7 and 'high-end' Ryzen models. Naturally the A17 Bionic cannot compete with these CPUs in terms of multi-thread performance.