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Monday

  1. Story1 reports · 1 facts

    NVIDIA Completes 104-Qubit Fault-Tolerant Quantum Computing Simulation on JUPITER

    NVIDIA announced that it has completed a 104-qubit fault-tolerant quantum computing simulation on the JUPITER supercomputer at the Jülich Supercomputing Centre in Germany, calling it the largest full simulation of a fault-tolerant quantum processor to date. The simulation validated the magic state cultivation method, requiring 90% fewer physical qubits than previous methods and running under realistic noise conditions. The research team first developed the method on the GB200 NVL72 system at NVAQC, then scaled it to 8,192 GPUs on JUPITER, using cuQuantum and CUDA-Q to complete the computation. Currently, the only source for this event is NVIDIA's official announcement, with no subsequent independent developments yet.

    NVIDIA announced that it has completed a 104-qubit fault-tolerant quantum computing simulation on the JUPITER supercomputer at the Jülich Supercomputing Centre in Germany, calling it the largest full simulation of a fault-tolerant quantum processor to date. The simulation validated the magic state cultivation method, requiring 90% fewer physical qubits than previous methods and running under realistic noise conditions. The research team first developed the method on the GB200 NVL72 system at NVA

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  2. Story1 reports · 1 facts

    NVIDIA names its consumer-grade chip RTX Spark N1X

    On October 18, 2026, NVIDIA named its consumer-grade chip for Windows devices RTX Spark N1X. According to ServeTheHome, the underlying SoC is the GB10 previously used in Linux mini PCs, consisting of a MediaTek-designed CPU chiplet and an NVIDIA-designed GPU chiplet, both manufactured on TSMC's 3nm process; the CPU has 10 Cortex-X925 plus 10 Cortex-A725 cores, the GPU has 48 SMs and 6144 CUDA cores, and it features a 256-bit LPDDR5X memory bus, up to 128GB of memory, and 300GB/s of bandwidth. The same report states that this week, in addition to the Microsoft Surface Laptop Ultra, about six laptops and one Surface RTX Spark Dev Box mini PC based on this platform were launched. There are currently no subsequent independent developments.

    On October 18, 2026, NVIDIA named its consumer-grade chip for Windows devices RTX Spark N1X. According to ServeTheHome, the underlying SoC is the GB10 previously used in Linux mini PCs, consisting of a MediaTek-designed CPU chiplet and an NVIDIA-designed GPU chiplet, both manufactured on TSMC's 3nm process; the CPU has 10 Cortex-X925 plus 10 Cortex-A725 cores, the GPU has 48 SMs and 6144 CUDA cores, and it features a 256-bit LPDDR5X memory bus, up to 128GB of memory, and 300GB/s of bandwidth. Th

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Monday

  1. FactRelated story

    NVIDIA completes 104-qubit fault-tolerant quantum computing simulation on JUPITER

    NVIDIA announced that it has completed a 104-qubit fault-tolerant quantum computing simulation on the JUPITER supercomputer at the Jülich Supercomputing Centre in Germany, calling it the largest full simulation of a fault-tolerant quantum processor to date. The simulation validated the magic state cultivation method, requiring 90% fewer physical qubits than previous methods and running under realistic noise conditions. The research team first developed the method on the GB200 NVL72 system at NVAQC, then scaled it to 8,192 GPUs on JUPITER, using cuQuantum and CUDA-Q to complete the computation. Currently, the only source for this event is NVIDIA's official announcement, with no subsequent independent developments yet.

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    View story:NVIDIA Completes 104-Qubit Fault-Tolerant Quantum Computing Simulation on JUPITER

  3. FactRelated story

    Nvidia joins forces with six financial institutions to establish an AI infrastructure financing platform

    On October 16, 2026, the German federal government plans to cooperate with Nvidia on industrial AI applications and is prepared to invest a sum in the triple-digit millions of euros. The project focuses on what Nvidia calls "physical AI," that is, AI such as robots and automated industrial equipment that can interact with the real world, while also developing high-performance AI models for the factory of the future; German companies such as Siemens also plan to participate. On October 20, the German federal government and NVIDIA signed a joint declaration of intent to cooperate on frontier models for physical AI and drive the scaled deployment of industrial AI in Germany and Europe; NVIDIA also announced plans to invest in four German startups—Agile Robots, Avelios Medical, Mirelo, and Reflex Aerospace—as part of its nearly $10 billion European investment. On October 21, at GTC Berlin, NVIDIA announced that European ecosystem partners are adopting the NVIDIA DSX AI factory platform.

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    View story:The German federal government plans to cooperate with Nvidia

Tuesday

Wednesday

Friday

  4. Story20 reports · 5 facts

    Nvidia releases Nemotron 3.5 Super VL and Bolt models

    On October 15, 2026, Nvidia announced the launch of Nemotron 3.5 Super VL and the edge-oriented 3.5 Bolt models. According to Nvidia's official introduction, Super VL is a 120B-parameter open model aimed at always-on agent tasks, and the company says it has the highest throughput among comparable open models, 5 times faster than the next-best model; it also launched two edge models, Bolt 74B-A9B 24GB and Bolt E4B 4GB, with the former able to run agent tasks locally on RTX/DGX Spark and the latter aimed at voice and conversational agents on GeForce RTX and Jetson. Super VL and Bolt 74B-A9B are already available on Hugging Face, and Bolt E4B is scheduled for release on October 23. On the same day, SGLang announced Day-0 support for Super VL, reaching 243.9 tok/s on a single RTX 6000 PRO with the help of MTP; Prime Intellect and Nvidia used GRPO to post-train it for about 11 hours on 128 GB200 GPUs, raising its score on the public AutomationBench-AA set from 34.0% to 57.7%. That evening OpenRouter listed the model, and the next day Perplexity announced that Pro and Max subscribers and the Agent API can use it.

    On October 15, 2026, Nvidia announced the launch of Nemotron 3.5 Super VL and the edge-oriented 3.5 Bolt models. According to Nvidia's official introduction, Super VL is a 120B-parameter open model aimed at always-on agent tasks, and the company says it has the highest throughput among comparable open models, 5 times faster than the next-best model; it also launched two edge models, Bolt 74B-A9B 24GB and Bolt E4B 4GB, with the former able to run agent tasks locally on RTX/DGX Spark and the latte

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  5. FactRelated story

    English translation is being prepared.

    On October 16, 2026, the German federal government plans to cooperate with Nvidia on industrial AI applications and is prepared to invest a sum in the triple-digit millions of euros. The project focuses on what Nvidia calls "physical AI," that is, AI such as robots and automated industrial equipment that can interact with the real world, while also developing high-performance AI models for the factory of the future; German companies such as Siemens also plan to participate. On October 20, the German federal government and NVIDIA signed a joint declaration of intent to cooperate on frontier models for physical AI and drive the scaled deployment of industrial AI in Germany and Europe; NVIDIA also announced plans to invest in four German startups—Agile Robots, Avelios Medical, Mirelo, and Reflex Aerospace—as part of its nearly $10 billion European investment. On October 21, at GTC Berlin, NVIDIA announced that European ecosystem partners are adopting the NVIDIA DSX AI factory platform.

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    View story:The German federal government plans to cooperate with Nvidia

Sunday

  1. FactRelated story

    NVIDIA names consumer-grade chip RTX Spark N1X

    On October 18, 2026, NVIDIA named its consumer-grade chip for Windows devices RTX Spark N1X. According to ServeTheHome, the underlying SoC is the GB10 previously used in Linux mini PCs, consisting of a MediaTek-designed CPU chiplet and an NVIDIA-designed GPU chiplet, both manufactured on TSMC's 3nm process; the CPU has 10 Cortex-X925 plus 10 Cortex-A725 cores, the GPU has 48 SMs and 6144 CUDA cores, and it features a 256-bit LPDDR5X memory bus, up to 128GB of memory, and 300GB/s of bandwidth. The same report states that this week, in addition to the Microsoft Surface Laptop Ultra, about six laptops and one Surface RTX Spark Dev Box mini PC based on this platform were launched. There are currently no subsequent independent developments.

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    View story:NVIDIA names its consumer-grade chip RTX Spark N1X

Saturday

Thursday

  1. FactRelated story

    Nvidia releases Nemotron 3.5 Super VL and Bolt models

    On October 15, 2026, Nvidia announced the launch of Nemotron 3.5 Super VL and the edge-oriented 3.5 Bolt models. According to Nvidia's official introduction, Super VL is a 120B-parameter open model aimed at always-on agent tasks, and the company says it has the highest throughput among comparable open models, 5 times faster than the next-best model; it also launched two edge models, Bolt 74B-A9B 24GB and Bolt E4B 4GB, with the former able to run agent tasks locally on RTX/DGX Spark and the latter aimed at voice and conversational agents on GeForce RTX and Jetson. Super VL and Bolt 74B-A9B are already available on Hugging Face, and Bolt E4B is scheduled for release on October 23. On the same day, SGLang announced Day-0 support for Super VL, reaching 243.9 tok/s on a single RTX 6000 PRO with the help of MTP; Prime Intellect and Nvidia used GRPO to post-train it for about 11 hours on 128 GB200 GPUs, raising its score on the public AutomationBench-AA set from 34.0% to 57.7%. That evening OpenRouter listed the model, and the next day Perplexity announced that Pro and Max subscribers and the Agent API can use it.

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    View story:Nvidia releases Nemotron 3.5 Super VL and Bolt models

  2. FactRelated story

    OpenRouter launches NVIDIA Nemotron 3.5 Super VL

    On October 15, 2026, Nvidia announced the launch of Nemotron 3.5 Super VL and the edge-oriented 3.5 Bolt models. According to Nvidia's official introduction, Super VL is a 120B-parameter open model aimed at always-on agent tasks, and the company says it has the highest throughput among comparable open models, 5 times faster than the next-best model; it also launched two edge models, Bolt 74B-A9B 24GB and Bolt E4B 4GB, with the former able to run agent tasks locally on RTX/DGX Spark and the latter aimed at voice and conversational agents on GeForce RTX and Jetson. Super VL and Bolt 74B-A9B are already available on Hugging Face, and Bolt E4B is scheduled for release on October 23. On the same day, SGLang announced Day-0 support for Super VL, reaching 243.9 tok/s on a single RTX 6000 PRO with the help of MTP; Prime Intellect and Nvidia used GRPO to post-train it for about 11 hours on 128 GB200 GPUs, raising its score on the public AutomationBench-AA set from 34.0% to 57.7%. That evening OpenRouter listed the model, and the next day Perplexity announced that Pro and Max subscribers and the Agent API can use it.

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    View story:Nvidia releases Nemotron 3.5 Super VL and Bolt models