September 19, 2025

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nvidia, amazon and google Updates

Huawei is making significant strides in its AI hardware development, aiming to challenge Nvidia's dominance with its new Ascend AI chips and Atlas supercomputing systems. The company plans to release several new Ascend chip versions by 2028 and has unveiled its Atlas 950 and 960 supernodes, designed to boost China's domestic AI computing power. This push for technological self-reliance is partly driven by U.S. restrictions on advanced semiconductors. Huawei is also developing its own high-bandwidth memory technology to overcome manufacturing limitations. Meanwhile, in the broader AI landscape, Amazon is equipping sellers with new AI tools to streamline product launches and gather customer feedback faster. Google is enhancing its Gemini AI by allowing users to share custom-built AI assistants, called Gems. Microsoft is reportedly exploring the creation of its own AI-powered wearable hardware, potentially integrating its Copilot AI. Anthropic has reached a $1.5 billion settlement to resolve a lawsuit concerning the use of copyrighted books for training its Claude AI. In e-commerce, AI personalization is projected to drive a substantial portion of online sales in 2025, with shoppers increasingly accepting AI-driven recommendations. The cryptocurrency market is also seeing AI integration, with new apps offering AI-powered trading strategies, while Catchpoint enhances its digital resilience tools with AI capabilities for IT incident diagnosis. The integration of AI into cloud-native development is also highlighted as crucial for bolstering security against AI-powered threats.

Key Takeaways

  • Huawei is developing new Ascend AI chips and Atlas supercomputing systems, aiming to compete with Nvidia and enhance China's domestic AI capabilities.
  • Huawei plans to release Ascend 950, 960, and 970 chips by 2028 and is developing proprietary high-bandwidth memory technology.
  • Amazon has launched AI tools to help sellers with product launches, demand insights, and faster customer reviews.
  • Google now allows users to share custom Gemini AI assistants, known as Gems, with others.
  • Microsoft is reportedly considering developing its own AI-powered wearable hardware.
  • AI developer Anthropic has agreed to a $1.5 billion settlement over allegations of using pirated books to train its Claude AI.
  • AI personalization is expected to drive 35% of online sales in 2025, with 45% of shoppers indifferent to whether recommendations come from humans or AI.
  • New AI-powered cryptocurrency trading apps are emerging, leveraging AI for faster analysis and automated strategies.
  • Catchpoint has introduced AI-powered capabilities, Root Cause Analysis (RCA) and Advisor, to improve digital resilience and IT incident diagnosis.
  • AI integration in cloud-native DevSecOps is becoming essential for predicting and addressing new security risks from AI-powered attacks.

Huawei's new AI chip bypasses Nvidia, boosts China's tech independence

Huawei Technologies has developed a new supernode computing cluster that can deliver powerful AI computing without using Nvidia's advanced chips. This breakthrough aims to reduce China's reliance on foreign technology. The company announced its plans at the annual Connect Conference in Shanghai, highlighting its commitment to self-reliance in AI.

Huawei reveals Ascend AI chip roadmap, challenging Nvidia

Huawei announced its Ascend AI chip roadmap for the next three years, aiming to compete directly with Nvidia. The company plans to release new versions of its Ascend chips, including the Ascend 950, 960, and 970, by 2028. Huawei also introduced its Atlas 950 and 960 supernodes, designed to support thousands of Ascend chips, boosting China's domestic AI computing power.

Huawei's powerful AI chip cluster challenges Nvidia amid China's tech push

Huawei is intensifying its AI computing efforts with new systems based on its Ascend chips, directly challenging U.S. rival Nvidia. The company plans to launch its Atlas 950 SuperCluster next year, claiming it will be the world's most powerful AI chip cluster for years. This move comes as the U.S. restricts China's access to advanced semiconductors, pushing Chinese companies toward domestic solutions.

Huawei boosts AI chip plans, challenging Nvidia's dominance

Huawei has revealed its long-term chip plans, including the launch of powerful computing systems using its Ascend AI chips. This move underscores China's effort to reduce reliance on foreign chipmakers like Nvidia. Huawei also announced proprietary high-bandwidth memory technology, a key component previously dominated by South Korean and U.S. suppliers.

Huawei aims to lead AI with new superpods despite domestic chip limits

Huawei Technologies announced it will launch the world's most powerful AI computing clusters over the next two years, aiming to surpass global leaders. Despite using less powerful domestic semiconductors, Huawei's strategy involves connecting thousands of chips in new 'superpods' and 'SuperClusters.' This initiative supports China's goal of technological self-reliance amid U.S. chip restrictions.

Huawei details AI chip roadmap to challenge Nvidia

Huawei has ended years of secrecy to reveal its AI chip roadmap, aiming to compete with Nvidia. The company plans to launch new Ascend chips (950, 960, 970) by 2028 and new computing systems like the Atlas 950 and 960 SuperPods. Huawei also announced its own high-bandwidth memory technology, HiBL 1.0 and HiZQ2.0, to overcome manufacturing limitations.

Huawei's AI strategy: More chips, new architecture to beat Nvidia

Huawei plans to launch powerful AI computing clusters, the Atlas 950 and 960 superpods, by late 2026 and 2027. These systems will combine thousands of its Ascend AI chips using a new architecture to compete with Nvidia. This strategy aims to overcome limitations in accessing the most advanced semiconductors, supporting China's drive for technological independence.

Huawei's AI chip plans aim to outperform rivals

Huawei announced it will release powerful AI computing clusters over the next two years, aiming to outperform global leaders despite using less advanced domestic chips. The company's strategy involves creating new 'superpods' and 'SuperClusters' by interconnecting thousands of chips. This initiative supports China's goal of technological self-reliance amid U.S. chip restrictions.

Huawei's AI chip roadmap challenges Nvidia amid China's tech push

Huawei unveiled an ambitious roadmap for new AI hardware, planning to launch four advanced Ascend chips by 2028 to challenge Nvidia's dominance. The upcoming Atlas 950 cluster will use over 8,000 Ascend 950 DT chips and is projected to outperform Nvidia's NVL144. Huawei aims to boost adoption by open-sourcing its CANN platform, despite facing efficiency challenges due to restricted access to cutting-edge chip manufacturing.

AI personalization and social commerce to drive 2025 e-commerce growth

E-commerce in 2025 will be heavily influenced by AI personalization and a significant boom in social commerce, projected to reach $80 billion in U.S. sales. AI is expected to drive 35% of online sales through personalized recommendations and predictive shopping. Voice commerce is also growing, expected to reach $40 billion in U.S. sales by 2025, while augmented reality transforms virtual try-ons, potentially reducing return rates by 22%.

Shoppers accept AI recommendations, report finds

A new report from Constructor and Shopify reveals that 45% of shoppers do not care if product recommendations come from humans or AI, as long as the suggestions are relevant. The study, based on over 1,500 consumers, shows a significant increase in the use and comfort level with generative AI tools, with 64% of shoppers using them daily. AI shopping assistants are also gaining traction, especially among younger demographics.

MasterQuant launches AI crypto trading app amid market surge

MasterQuant has launched a new mobile app for iOS and Android, offering AI-powered cryptocurrency trading features. The app allows users to monitor investments, access real-time market insights, and use automated trading strategies directly from their smartphones. This launch coincides with increased volatility and institutional adoption in the crypto market, highlighting the growing role of AI in trading.

AI is revolutionizing crypto trading with predictive power

Artificial intelligence is rapidly transforming cryptocurrency trading by enabling faster analysis, automated strategies, and improved risk management. AI systems can process vast amounts of data, identify patterns, and adapt to market volatility, offering advantages over human traders. While AI offers significant benefits, risks like model overfitting and data reliability require careful consideration and human oversight.

Anthropic settles copyright case for $1.5 billion

AI developer Anthropic has agreed to a $1.5 billion settlement to resolve a class-action lawsuit alleging the use of pirated books to train its Claude AI system. The settlement covers approximately 500,000 works, with compensation set at $3,000 per book. Anthropic will also destroy the unlawfully obtained files, highlighting the risks of using unauthorized data for AI training.

Catchpoint enhances monitoring with new AI capabilities

Catchpoint has released two new AI-powered capabilities, Root Cause Analysis (RCA) and Advisor, to improve digital resilience for critical applications. These tools aim to simplify IT incident diagnosis and resolution by providing immediate insights and actionable guidance. The new features help IT teams proactively identify issues, pinpoint root causes, and optimize monitoring strategies, addressing the growing need for robust monitoring of AI-enabled workflows.

AI integration enhances security in cloud-native development

The integration of AI into cloud-native DevSecOps pipelines is crucial for addressing new security risks posed by AI-powered attacks. Security leaders advocate for a proactive approach, using AI to predict vulnerabilities rather than just react to threats. Challenges include AI introducing subtle flaws and credential leakage, requiring new validation layers and real-time secret scanning to ensure robust security.

Amazon launches AI tools to help sellers launch products faster

Amazon has introduced new AI-powered tools to help sellers launch products more efficiently and confidently. These tools provide insights into unmet customer demand, suggest product ideas, and optimize listings. Sellers can now launch with lower inventory quantities in specific regions and get customer reviews faster through an upgraded Vine program, aiming to reduce risk and accelerate success.

Google allows sharing of custom Gemini AI assistants

Google now enables users to share their custom Gemini AI assistants, known as Gems, with others. This feature, initially part of Gemini Advanced, allows users to create AI chatbots for specific tasks and share them like Google Drive files. Sharing Gems can help prevent redundant creation and make these specialized assistants more accessible to friends, family, or coworkers.

Microsoft could create its own AI wearable hardware

The Windows Central Podcast discussed the possibility of Microsoft developing its own wearable AI hardware powered by Copilot. This follows Meta's launch of Ray Ban smart glasses with built-in AI. The discussion also covered Windows 11 updates, Intel and NVIDIA's chip partnership, and the end of support for Windows 10.

Databricks launches AI Accelerator Program for startups

Databricks has launched its AI Accelerator Program to support pre-seed and seed-stage startups focused on AI applications and agents. Backed by Databricks Ventures, the program offers funding up to $250,000, mentorship, and resources to accelerate innovation. The initiative aims to foster the next generation of AI-native companies by providing access to Databricks' platform and a network of investors.

Sources

AI chips Huawei Nvidia China tech independence Supercomputing AI computing Ascend AI chips Atlas Supernodes Domestic AI computing Semiconductor restrictions High-bandwidth memory AI strategy AI personalization Social commerce E-commerce Voice commerce Augmented reality AI recommendations Generative AI AI shopping assistants AI crypto trading Cryptocurrency Automated trading Market volatility AI training data Copyright lawsuit Anthropic Claude AI Digital resilience IT incident diagnosis Cloud-native security DevSecOps AI-powered attacks Vulnerability prediction Amazon sellers Product launch tools Customer reviews Gemini AI assistants Custom AI chatbots AI wearable hardware Microsoft Copilot AI startups AI agents Databricks Ventures