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Saturday

  1. ServeTheHome

    Microsoft Surface Laptop Ultra review: first to feature NVIDIA RTX Spark

    The Microsoft Surface Laptop Ultra is the first Windows laptop to feature the NVIDIA RTX Spark SoC (the consumer brand for GB10), available with an 18-core or 20-core N1X processor, equipped with 128GB of LPDDR5X memory, a 1TB PCIe Gen5 SSD, and a 92Wh battery. It features a 15-inch 3270×2180 PixelSense touchscreen with up to 2000 nits of brightness and support for a 120Hz variable refresh rate; the device weighs 2.0kg and is 19.16mm thick, and is regarded as Microsoft's high-end product positioned against the MacBook Pro.

    The Microsoft Surface Laptop Ultra is the first Windows laptop to feature the NVIDIA RTX Spark SoC (the consumer brand for GB10), available with an 18-core or 20-core N1X processor, equipped with 128GB of LPDDR5X memory, a 1TB PCIe Gen5 SSD, and a 92Wh battery. It features a 15-inch 3270×2180 PixelSense touchscreen with up to 2000 nits of brightness and support for a 120Hz variable refresh rate; the device weighs 2.0kg and is 19.16mm thick, and is regarded as Microsoft's high-end product positio

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Friday

  1. heise online

    RTX Spark laptop tested: How does Nvidia's first local AI laptop chip perform?

    heise online's c't 3003 tested the Asus ProArt P14, which is equipped with Nvidia's first laptop chip, the N1X (brand name RTX Spark). The machine supports up to 128 GB of unified memory; the test unit had 32 GB of memory plus a 1 TB SSD and cost 3,300 euros. In llama-bench tests with Qwen 3.8-27B, generation speed was about 14.5 tokens/s, slightly faster than Apple M6 and Strix Halo but slower than M5 Pro; with the MoE model Qwen 3.6-35B-A3B, it reached nearly 61 tokens/s. Prompt processing speed was better than Strix Halo and the M5 Pro and M6, but fan noise under full load reached up to 2.7 sone, and the fans also spin up when idle. The author also tried installing Ubuntu; after manually adding the drivers, both models ran 14% and 9% faster under Linux than under Windows.

    heise online's c't 3003 tested the Asus ProArt P14, which is equipped with Nvidia's first laptop chip, the N1X (brand name RTX Spark). The machine supports up to 128 GB of unified memory; the test unit had 32 GB of memory plus a 1 TB SSD and cost 3,300 euros. In llama-bench tests with Qwen 3.8-27B, generation speed was about 14.5 tokens/s, slightly faster than Apple M6 and Strix Halo but slower than M5 Pro; with the MoE model Qwen 3.6-35B-A3B, it reached nearly 61 tokens/s. Prompt processing spe

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  2. Thurrott

    HP OmniBook Ultra 16 hands-on first impressions: powered by Nvidia RTX Spark N1X

    The HP OmniBook Ultra 16 is a 16-inch mobile workstation powered by an Nvidia RTX Spark N1X processor; the review unit features a 20-core CPU, a 6,144-core Blackwell GPU, and 32 GB of LPDDR5x-9400 memory. It has a 16-inch 3K (2880 x 1800) 120 Hz OLED touchscreen, runs Windows 11 26H1, and in testing delivered just over 6.5 hours of battery life; gaming performance beats Snapdragon X2, but fan noise is closer to that of an ordinary x86-64 PC.

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  3. Analytics India Magazine

    NVIDIA Expands Nemotron Model Family with New Super VL and Two Bolt Models

    NVIDIA has added three models to the Nemotron open-source model family, covering enterprise workflows, local AI agents, and conversational applications across data centers, desktops, and edge devices. These include the 120-billion-parameter Nemotron 3.5 Super VL, which NVIDIA claims delivers up to 5x the throughput of the next-best comparable model, with accuracy approaching that of its largest reasoning model at roughly one-fifth the parameter count; there are also two small models in the Nemotron 3.5 Bolt series: 74B-A9B 24GB for everyday agent tasks on RTX and DGX Spark, and E4B 4GB for conversational and physical AI agents. Super VL and Bolt 74B-A9B are already available, and Bolt E4B is scheduled for release on October 23.

    NVIDIA has added three models to the Nemotron open-source model family, covering enterprise workflows, local AI agents, and conversational applications across data centers, desktops, and edge devices. These include the 120-billion-parameter Nemotron 3.5 Super VL, which NVIDIA claims delivers up to 5x the throughput of the next-best comparable model, with accuracy approaching that of its largest reasoning model at roughly one-fifth the parameter count; there are also two small models in the Nemot

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  4. Computerworld

    Surface Laptop Ultra review: NVIDIA RTX Spark's local AI performance

    The author tested Microsoft's Surface Laptop Ultra equipped with the NVIDIA RTX Spark N1X SoC. The top configuration of this machine features a 20-core Grace Arm CPU, a 6144-core Blackwell GPU, and 128GB of unified memory, with a starting price of $2,599.99. In the UL Procyon AI text generation test, it scored 2703, about 33% higher than the IdeaPad Pro 5 with an Intel Core Ultra X9 388H; MLPerf Flux 2 Klein 4B image generation reached 26.97 images per minute, about 2.7 times that of the latter. The author also used a local Qwen3.8-27B to drive the Hermes agent, which completed extracting benchmark charts from Excel and generating a Word report in about five minutes.

    The author tested Microsoft's Surface Laptop Ultra equipped with the NVIDIA RTX Spark N1X SoC. The top configuration of this machine features a 20-core Grace Arm CPU, a 6144-core Blackwell GPU, and 128GB of unified memory, with a starting price of $2,599.99. In the UL Procyon AI text generation test, it scored 2703, about 33% higher than the IdeaPad Pro 5 with an Intel Core Ultra X9 388H; MLPerf Flux 2 Klein 4B image generation reached 26.97 images per minute, about 2.7 times that of the latter.

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Thursday

  1. OpenRouter

    NVIDIA Nemotron 3.5 Super VL Launches on OpenRouter

    NVIDIA Nemotron 3.5 Super VL is now available on OpenRouter. It is an open-source 120B-A12B multimodal model designed for long-running agents that need to observe, reason, and act across text, images, documents, GUIs, and video, with support for a 1M context. The model uses a Hybrid Mamba-Transformer MoE architecture and supports multi-token prediction to speed up output, targeting scenarios such as document intelligence, web research, customer service, and video understanding.

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  2. StepFun StepFunSelected

    StepFun Step 5 Preview demonstrates strong inference performance on NVIDIA GB300

    StepFun states that Step 5 Preview demonstrates strong inference performance on NVIDIA GB300 and looks forward to developers building on it. NVIDIA AI, in a quoted tweet, calls this StepFun's largest open-weight release, with a 600B MoE model capable of handling agent tasks up to 24 hours long, reaching nearly 8K tokens/sec/GPU on NVIDIA GB300 with NVFP4, and providing an NVFP4 checkpoint as well as deployment and post-training paths for SGLang, vLLM, NeMo Automodel, and NVIDIA NIM.

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