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    RTX Spark AI laptops reportedly reach $7,000 with 128GB of memory

    GenAISpotlight says entry models from Asus, Microsoft and Dell start at $2,599 with 24GB of unified memory.

    3 Sources, 1d ago, first seen 1d ago

    TLDR

    GenAISpotlight says RTX Spark laptops start at $2,599, while top configurations cost up to $7,000 and include 128GB of memory and a 20-core processor. It said shipments to creators and developers were scheduled to begin October 16, 2026. TechAmerica describes the Surface Laptop Ultra and Surface RTX Spark Dev Box as Microsoft's portable and desktop options for local AI work.

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    3 Sources, first seen 1d ago

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    3 Sources

    pukno.ai@pukno_aiNvidia RTX spark launch date is October 7th A new flood of local ai systems will reach the market from various vendors, it was a strategic decision to release right before so that they can be the first in a crowded market even if they aren’t ready. Get the first few cheap ones out there door get some traction When users start complaining about performance the technology availability will be much greater for more powerful ones. So - Entry level local personal AI system alternative to Mac ( ghost ai and other systems with 24Gb vram running smaller models for ai assistants that are personalising to users data is more than enough) we do that with PUKNO on 24GB Mac unified ram and models like Gemma 4 and is more than enough with 30-100t/s ~$2500-$4000 - Medium performance local AI system 48gb vram or unified ram with enough bandwidth I.e 270gb/s - 400gb/s $4500-$5500+ - High end more ram more compute $6500-$20000 setups1d
    Gen AI Spotlight@GenAISpotlight👀 𝗙𝗶𝗿𝘀𝘁 𝗡𝘃𝗶𝗱𝗶𝗮 𝗥𝗧𝗫 𝗦𝗽𝗮𝗿𝗸 𝗔𝗜 𝗟𝗮𝗽𝘁𝗼𝗽𝘀 𝗥𝗲𝗮𝗰𝗵 $𝟳,𝟬𝟬𝟬 𝗳𝗼𝗿 𝟭𝟮𝟴𝗚𝗕 𝗠𝗲𝗺𝗼𝗿𝘆 PC makers are rolling out the first laptops built on Nvidia's RTX Spark chip, but maxing out the hardware will cost buyers up to $7,000. Entry models from Asus, Microsoft, and Dell start at $2,599 with 24GB of unified memory. Top configs pack a 20-core processor with 128GB of memory for running heavy AI models locally. The machines begin shipping to creators and developers on October 16. Read more: https://eshop.asus.com/us/90nb16a1-m00l30-proart-p16-h7607.html #AI #Nvidia #Hardware ─── 🤖 𝗙𝗼𝗿 𝗺𝗼𝗿𝗲 𝗔𝗜 𝗻𝗲𝘄𝘀, 𝘀𝗲𝗮𝗿𝗰𝗵 "𝗚𝗲𝗻𝗔𝗜𝗦𝗽𝗼𝘁" 𝗼𝗻 𝗧𝗲𝗹𝗲𝗴𝗿𝗮𝗺2h
    TechAmerica@techamericaofclMicrosoft is using its latest Windows and Surface event to make a much bigger push into high-performance AI computing, with RTX Spark emerging as a major part of the company’s new hardware strategy. The new generation of Surface hardware is aimed well beyond everyday productivity. Microsoft is positioning these systems for developers, creators and professionals who increasingly need powerful local computing for AI models, graphics and other GPU-intensive workloads. The announcements include the Surface Laptop Ultra alongside the Surface RTX Spark Dev Box, giving Microsoft both a portable system and a dedicated desktop option for demanding development work. That direction reflects a broader change in the PC market. As AI workloads move from the cloud onto personal computers and workstations, GPU performance and local model execution are becoming increasingly important selling points. For Microsoft, the challenge will be showing that RTX Spark hardware can offer developers enough performance, software support and practical advantages to justify premium pricing. The latest Surface event makes one thing clear: Microsoft increasingly sees AI computing as central to the future of Windows hardware. Follow http://TechAmerica.ai for the latest Microsoft, Windows, Surface and AI PC news.2h

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    3 Sources

    pukno.ai@pukno_aiNvidia RTX spark launch date is October 7th A new flood of local ai systems will reach the market from various vendors, it was a strategic decision to release right before so that they can be the first in a crowded market even if they aren’t ready. Get the first few cheap ones out there door get some traction When users start complaining about performance the technology availability will be much greater for more powerful ones. So - Entry level local personal AI system alternative to Mac ( ghost ai and other systems with 24Gb vram running smaller models for ai assistants that are personalising to users data is more than enough) we do that with PUKNO on 24GB Mac unified ram and models like Gemma 4 and is more than enough with 30-100t/s ~$2500-$4000 - Medium performance local AI system 48gb vram or unified ram with enough bandwidth I.e 270gb/s - 400gb/s $4500-$5500+ - High end more ram more compute $6500-$20000 setups1d
    Gen AI Spotlight@GenAISpotlight👀 𝗙𝗶𝗿𝘀𝘁 𝗡𝘃𝗶𝗱𝗶𝗮 𝗥𝗧𝗫 𝗦𝗽𝗮𝗿𝗸 𝗔𝗜 𝗟𝗮𝗽𝘁𝗼𝗽𝘀 𝗥𝗲𝗮𝗰𝗵 $𝟳,𝟬𝟬𝟬 𝗳𝗼𝗿 𝟭𝟮𝟴𝗚𝗕 𝗠𝗲𝗺𝗼𝗿𝘆 PC makers are rolling out the first laptops built on Nvidia's RTX Spark chip, but maxing out the hardware will cost buyers up to $7,000. Entry models from Asus, Microsoft, and Dell start at $2,599 with 24GB of unified memory. Top configs pack a 20-core processor with 128GB of memory for running heavy AI models locally. The machines begin shipping to creators and developers on October 16. Read more: https://eshop.asus.com/us/90nb16a1-m00l30-proart-p16-h7607.html #AI #Nvidia #Hardware ─── 🤖 𝗙𝗼𝗿 𝗺𝗼𝗿𝗲 𝗔𝗜 𝗻𝗲𝘄𝘀, 𝘀𝗲𝗮𝗿𝗰𝗵 "𝗚𝗲𝗻𝗔𝗜𝗦𝗽𝗼𝘁" 𝗼𝗻 𝗧𝗲𝗹𝗲𝗴𝗿𝗮𝗺2h
    TechAmerica@techamericaofclMicrosoft is using its latest Windows and Surface event to make a much bigger push into high-performance AI computing, with RTX Spark emerging as a major part of the company’s new hardware strategy. The new generation of Surface hardware is aimed well beyond everyday productivity. Microsoft is positioning these systems for developers, creators and professionals who increasingly need powerful local computing for AI models, graphics and other GPU-intensive workloads. The announcements include the Surface Laptop Ultra alongside the Surface RTX Spark Dev Box, giving Microsoft both a portable system and a dedicated desktop option for demanding development work. That direction reflects a broader change in the PC market. As AI workloads move from the cloud onto personal computers and workstations, GPU performance and local model execution are becoming increasingly important selling points. For Microsoft, the challenge will be showing that RTX Spark hardware can offer developers enough performance, software support and practical advantages to justify premium pricing. The latest Surface event makes one thing clear: Microsoft increasingly sees AI computing as central to the future of Windows hardware. Follow http://TechAmerica.ai for the latest Microsoft, Windows, Surface and AI PC news.2h