English translation is being prepared.
Matched fieldsTitle
←Search results
Search “NVIDIA”
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.
Matched fieldsTitle
View story:The German federal government plans to cooperate with Nvidia
English translation is being prepared.
Matched fieldsTitle
English translation is being prepared.
Matched fieldsTitle
English translation is being prepared.
Matched fieldsTitle
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
Matched fieldsTitle
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.
Matched fieldsTitle
View story:The German federal government plans to cooperate with Nvidia
English translation is being prepared.
Matched fieldsTitle
English translation is being prepared.
Matched fieldsTitle
English translation is being prepared.
Matched fieldsTitle
English translation is being prepared.
Matched fieldsTitle
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
Matched fieldsTitle
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.
Matched fieldsTitle
View story:NVIDIA names its consumer-grade chip RTX Spark N1X
English translation is being prepared.
Matched fieldsTitle
English translation is being prepared.
Matched fieldsTitle
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.
Matched fieldsTitle
View story:Nvidia releases Nemotron 3.5 Super VL and Bolt models
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.
Matched fieldsTitle
View story:Nvidia releases Nemotron 3.5 Super VL and Bolt models
English translation is being prepared.
Matched fieldsTitle
English translation is being prepared.
Matched fieldsTitle
Perplexity 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.
Matched fieldsTitle
View story:Nvidia releases Nemotron 3.5 Super VL and Bolt models