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Nvidia and xAI Join $30 Billion AI Infrastructure Partnership

The AI Infrastructure Partnership AIP, a group supported by Microsoft, BlackRock, and MGX, has welcomed Nvidia and Elon Musks xAI. The AIP aims to spe

The AI Infrastructure Partnership AIP, a group supported by Microsoft, BlackRock, and MGX, has welcomed Nvidia and Elon Musks xAI. The AIP aims to spend more than $30 billion on AI infrastructure projects around the United States. The goal of this project is to build energy facilities and data centres to meet the processing demands of sophisticated AI applications like ChatGPT. The collaboration intends to raise $100 billion over the next four years, including debt funding. Together, GE Vernova and NextEra Energy will provide these data centres with effective energy solutions. This action demonstrates the industrys strong endeavour to increase AI infrastructure and capabilities. Read More..

B2B Tech News | 3 months ago          

Nvidia Unveils DGX Spark & DGX Station NextGen Personal AI Supercomputers

Nvidia unveiled the DGX Spark and DGX Station, two personal AI supercomputers driven by the Grace Blackwell chip architecture, at GTC 2025. Researche

Nvidia unveiled the DGX Spark and DGX Station, two personal AI supercomputers driven by the Grace Blackwell chip architecture, at GTC 2025. Researchers and developers can train AI models locally with the DGX Spark, the smallest AI supercomputer in the world. Its GB10 Superchip can deliver up to 1,000 TOPS. With its 784GB of RAM and GB300 Ultra Desktop Superchip, the DGX Station can handle extensive AI training and inference. Additionally, it comes with the 800Gb/s ConnectX8 SuperNIC. Both platforms make it possible to switch between local and cloud AI workflows with ease. While the DGX Station will be offered later this year through partners including Dell, HP, Asus, and Lenovo, the DGX Spark has a starting price of about $3,000. Read More..

B2B Tech News | 3 months ago          

UNISOC T8300 Debuts 5GReady 6nm SoC with Satellite Connectivity

With the T8300, a 5Gcapable systemonchip SoC based on a 6nm architecture, UNISOC hopes to improve midrange smartphones efficiency and performance. Th

With the T8300, a 5Gcapable systemonchip SoC based on a 6nm architecture, UNISOC hopes to improve midrange smartphones efficiency and performance. This octacore processor balances power and energy efficiency with two ARM CortexA78 cores clocked at up to 2.2 GHz and six CortexA55 cores clocked at up to 2.0 GHz. For enhanced graphics performance, the T8300 incorporates an ARM MaliG57 MC2 GPU and supports LPDDR4/4X memory at up to 2133 MHz. Its satellite connectivity, which allows communication in places without conventional cellular service, is noteworthy. The chipset can handle sophisticated multimedia requirements by supporting cameras up to 108 MP and monitors with refresh rates up to 120 Hz. Read More..

B2B Tech News | 3 months ago          

Windows 11 Update Accidentally Removes Copilot App—Microsoft Working on Fix

On some devices, the Copilot software was unintentionally removed by Microsofts most recent Windows 11 update. Users that were impacted observed that

On some devices, the Copilot software was unintentionally removed by Microsofts most recent Windows 11 update. Users that were impacted observed that Copilot had been deleted from their computers and unpinned from the taskbar. Microsoft has identified the problem and is attempting to resolve it. Users can manually pin Copilot back to the taskbar and reinstall it from the Microsoft Store in the interim. Read More..

B2B Tech News | 3 months ago          

GM Joins Forces with Nvidia to Boost AI in Autonomous Vehicles & Manufacturing

General Motors GM is partnering with Nvidia to integrate AI chips and software into its autonomous vehicle technology and manufacturing processes. The

General Motors GM is partnering with Nvidia to integrate AI chips and software into its autonomous vehicle technology and manufacturing processes. The collaboration aims to enhance workflow efficiency and develop advanced driverassistance systems ADAS. While GM will purchase Nvidia chips for ADAS, financial details were not disclosed. The automaker had used Nvidia’s technology for its nowdiscontinued Cruise Robotaxi project but is now focusing on AV technology for personal vehicles. GM projects its Super Cruise ADAS could generate $2 billion annually within five years, with a subscription model after three years. Automakers like Toyota, Hyundai, BYD, MercedesBenz, and Rivian have also partnered with Nvidia for autonomous driving solutions to compete with Tesla’s Full SelfDriving system. Read More..

B2B Tech News | 3 months ago          

Oracle Partners with Singapore’s DSTA to Boost Defense AI & Cloud Capabilities

Oracle has signed a historic contract with Singapores Defence Science and Technology Agency DSTA to supply the Singapore Armed Forces SAF and the Mini

Oracle has signed a historic contract with Singapores Defence Science and Technology Agency DSTA to supply the Singapore Armed Forces SAF and the Ministry of Defence MINDEF with cuttingedge cloud computing and artificial intelligence AI services. This collaboration introduces an “airgapped” isolated cloud infrastructure, securely disconnected from the internet and linked to classified networks via encrypted devices. The platform integrates Oracle’s generative AI tools, enhancing capabilities such as video analysis for facial recognition and vehicle identification. According to DSTA Chief Executive Ng ChadSon, the goal of this collaboration is to use cuttingedge technologies to digitise and revolutionise defence operations. This initiative marks Oracle’s first defenserelated venture in Southeast Asia, underscoring its commitment to expanding its regional footprint. Read More..

B2B Tech News | 3 months ago          

Gemini 2.0 Flash AI Model Can Erase Watermarks, Raising Legal Questions

According to reports, Googles Gemini 2.0 Flash AI model can successfully erase watermarks from photographs, including those from stock media companies

According to reports, Googles Gemini 2.0 Flash AI model can successfully erase watermarks from photographs, including those from stock media companies like Getty photographs. Although it might have trouble with heavy or semitransparent watermarks, users have found that the model can recreate the underlying material when watermarks are removed. Since eliminating watermarks without agreement is generally prohibited by U.S. copyright law, this capacity has raised ethical and legal issues. On the other hand, Anthropic and Open AI models are restricted from stopping such behaviour, classifying it as immoral and may be unlawful. Currently available through Googles development tools, such as AI Studio, Gemini 2.0 Flash is classified as "experimental." Read More..

B2B Tech News | 3 months ago          

Google Issues Fix for Chromecast & Chromecast Audio “Untrusted Device” Errors

Chromecast Audio and secondgeneration Chromecast users experienced "Untrusted device" issues in early March 2025, preventing their devices from castin

Chromecast Audio and secondgeneration Chromecast users experienced "Untrusted device" issues in early March 2025, preventing their devices from casting content. This problem resulted in authentication failures and was ascribed to an expired security certificate. Through the Google Home app, Google responded by releasing a remedy version 3.30.1.6 for Android and 3.30.106 for iOS, which enabled impacted devices to get the required upgrades and resume functionality. Users may still have problems configuring their devices after doing a factory reset during troubleshooting Google is currently developing a solution for these situations. During this time, the company recommends avoiding factory resets and keeping devices online to obtain updates quickly. Read More..

B2B Tech News | 3 months ago          



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1.  Global online sales are predicted to reach 22% of all retail sales in 2023.
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2.  Global tablet shipments are expected to hit 142 million by 2025, reports Statista.
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5.  Approximately 8 billion gadgets connect on the internet every day.
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