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  1. 1
    Samsung to more than double HBM4 chip output next yearโ—Samsung is expected to more than double output of its HBM4 and HBM4E DRAMYhnBusinessFinance561just now

    Samsung is expected to more than double production of its HBM4 and HBM4E high-bandwidth memory DRAM next year, according to a report citing industry sources. The move reflects surging demand for advanced memory used in AI accelerators, and would tighten the race with SK Hynix, the current leader in high-bandwidth memory supply to chipmakers like Nvidia.

  2. 2
    Bank of America says Nvidia and other stocks are on saleโ—Nvidia and these other stocks are on sale, Bank of America saysโœ‰newsBusinessMarkets1 min ago

    Bank of America analysts argue that Nvidia and several other stocks currently trade at attractive prices, framing them as buying opportunities. The bank's call is drawing attention from investors weighing whether recent pullbacks in major technology names represent a discount or a warning. Markets are watching whether analysts' upbeat valuations on chipmakers and other favored stocks hold up amid ongoing volatility.

  3. 3
    Jensen Huang says AI doomsayers have 'ulterior reasons'โ—Jensen Huang: Those warning on AI apocalypse "have ulterior reasons"YhnWar128 min ago

    Nvidia chief executive Jensen Huang said that people warning of an AI apocalypse 'have ulterior reasons', pushing back against prominent voices predicting catastrophic outcomes from artificial intelligence. Huang's remarks add to an ongoing debate between AI industry leaders who see the technology as an economic opportunity and critics who argue its risks are being downplayed for commercial gain.

  4. 4

    NVIDIA/Model-Optimizer is an open-source Python library on GitHub that collects state-of-the-art model optimization techniques, including quantization, distillation, pruning, neural architecture search and speculative decoding. It compresses deep learning models so they run efficiently in deployment frameworks such as TensorRT-LLM, TensorRT and vLLM, improving inference speed. It is trending on GitHub's rankings with modest engagement, and the posts shown only describe the project itself, so there is no evidence of a specific event driving attention.

  5. 5
    Virtio-nvgpu brings near-native Nvidia GPU access to KVM guestsโ–ผVirtio-nvgpu: Near-native Nvidia GPU access inside a KVM guestYhnBusinessEconomy15344 min ago

    A new open-source project called virtio-nvgpu promises near-native Nvidia GPU performance inside KVM virtual machines, according to its listing on GitHub. The work, published under nestrilabs, is drawing attention in the virtualization community, where passthrough of Nvidia GPUs to guests has traditionally required complex workarounds or sacrificed performance. Developers are discussing its potential for cloud gaming, machine learning workloads and homelab setups.

  6. 6
    Swedish startup's autonomous drone picks targets with AI chipโ—Autonomous strike drone uses Nvidia Jetson Orin Nano to pick and bomb targetsYhnBusinessLabor291 h ago

    A Swedish startup has developed attack drones that use Nvidia's Jetson Orin Nano, a small AI computer, to independently select and strike targets without human input or external communications. The system runs a compact AI model entirely onboard, raising debate over fully autonomous lethal weapons and how readily available consumer AI hardware can power them.

  7. 7

    AMD's market value briefly topped $1 trillion, making it one of the few companies to reach that level as investors bet heavily on its AI chip ambitions. Commentators note the chipmaker is closing the gap with Nvidia, long the dominant beneficiary of the AI semiconductor boom, though AMD's stay in the trillion-dollar club was short-lived.

  8. 8
    Huawei Unveils Two Advanced AI Chips Coming in 2027โ—NVDA Stock In Focus As Huawei Announces 2 Advanced AI Chips For 2027โœ‰newsTechnologySemiconductors1 h ago

    Huawei has announced two advanced AI chips slated for 2027, putting the spotlight on Nvidia as investors weigh fresh competition in the AI semiconductor market. Traders are watching how the Chinese chipmaker's roadmap could challenge Nvidia's dominance in AI accelerators, a market it has led amid US-China tech tensions.

  9. 9
    Nvidia, Chip Stocks Extend Rout as Analysts Call OpenAI Fears Overblownโ—NVDA, Chip Stocks Extend Rout: Analysts Say OpenAI Deal Fears Overblownโœ‰newsTechnologySemiconductors1 h ago

    Nvidia and the broader semiconductor sector extended a sell-off, but several analysts argued that fears tied to OpenAI-related deal concerns are exaggerated. They maintain that the chip industry's AI-driven growth story remains intact despite the market pressure. Investors are watching whether the rout deepens or sentiment stabilizes as more commentary and company guidance emerge.

  10. 10
    ByteDance accessed 2,000 Nvidia B200 chips via Norwayโ—China's ByteDance gained access to over 2k Nvidia B200 chips through NorwayYhnTechnologySemiconductors101 h ago

    A new filing reveals that ByteDance, TikTok's Chinese parent company, gained access to more than 2,000 Nvidia B200 chips through Nscale's data center operations in Norway. A Singaporean subsidiary called Spring reportedly contributed 73 percent of a UK neocloud provider's 2025 revenue. The arrangement highlights how export controls restricting advanced US chips to China may be circumvented through cloud services and third countries.

  11. 11
    Huawei's Ascend Chips Overtake Nvidia in China's AI Marketโ—Huawei's Ascend Chips Have Overtaken Nvidia in China's AI Marketโœ‰newsTechnologySemiconductors1 h ago

    Huawei's Ascend chips have overtaken Nvidia in China's AI chip market, according to a new report. The shift reflects the impact of US export controls that have restricted Nvidia's access to Chinese customers, pushing domestic buyers toward Huawei's homegrown alternatives. Analysts see it as a milestone for China's semiconductor self-sufficiency push, though questions remain about Ascend's performance and production capacity at scale.

  12. 12
    China's Moonshot Reportedly Seeks More Nvidia Blackwell Chipsโ—China's Moonshot Reportedly Seeks Access To More NVDA Blackwell Chips A Week After Trump Official Flagged Export Control Breachโœ‰newsTechnologySemiconductors1 h ago

    Chinese AI firm Moonshot is reportedly seeking access to additional Nvidia Blackwell chips, according to a report circulating this week. The claim lands just a week after a Trump administration official flagged an alleged breach of US export controls on advanced Nvidia processors. The episode keeps a spotlight on Washington's restrictions on high-end AI chips reaching China and enforcement questions around them.

  13. 13
    Nokia Teams with Microsoft and NVIDIA on AI-Powered 6Gโ—Nokia Intensifies Focus on AI, Collaborates with Microsoft and NVIDIA for 6G Development # technology # artificialintellMmastodonTechnologyAI11 h ago

    Nokia is deepening its pivot from handsets toward AI-driven networking, announcing collaborations with Microsoft and NVIDIA to advance 6G and AI-RAN technologies. The century-old Finnish company aims to position itself as a key infrastructure player in the next generation of wireless networks, drawing attention as telecom vendors race to integrate artificial intelligence into network operations and future 6G standards.

  14. 14

    NVIDIA's GPU Technology Conference (GTC) is in the news. GTC is the company's flagship event, where it typically unveils new chips, software and AI-related announcements for developers and partners. Coverage is currently limited to mentions of the conference itself, with no specific announcement details available.

  15. 15
    DLSS-NR-on-AMD mod delivers 74% boost on Radeon GPUsโ—DLSS-NR-on-AMD Developer Delivers 74% Performance Boost On Radeon GPUs In A Single Dayโœ‰newsTechnologySoftware1 h ago

    The developer behind the DLSS-NR-on-AMD project has reportedly achieved a 74% performance improvement on Radeon graphics cards within a single day of work. The claim, highlighted by Wccftech, is drawing attention from PC gaming enthusiasts because it suggests NVIDIA's upscaling and frame generation technologies can be adapted to run substantially faster on AMD hardware, potentially narrowing the gap between the two GPU ecosystems.

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