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Monday

  1. n8n Blog

    How to run n8n AI workflows on NVIDIA DGX Spark without calling cloud APIs

    n8n Blog published a tutorial on how to deploy a complete model stack locally on a single NVIDIA DGX Spark, enabling n8n workflows to perform transcription, OCR, document Q&A, and image generation without calling cloud APIs. The entire stack exposes an OpenAI-compatible endpoint through LiteLLM; the main model is the NVFP4 version of Qwen3.6-35B-A3B, with a single-user generation speed of 120 tokens/s and an aggregate of 359 tokens/s across eight users. The author's testing found that image generation reduces chat speed to about one-third, and recommends that small teams queue image tasks or schedule them outside working hours.

    n8n Blog published a tutorial on how to deploy a complete model stack locally on a single NVIDIA DGX Spark, enabling n8n workflows to perform transcription, OCR, document Q&A, and image generation without calling cloud APIs. The entire stack exposes an OpenAI-compatible endpoint through LiteLLM; the main model is the NVFP4 version of Qwen3.6-35B-A3B, with a single-user generation speed of 120 tokens/s and an aggregate of 359 tokens/s across eight users. The author's testing found that image gene

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  2. The Elec

    LG launches group-wide business review, will discuss cooperation with Nvidia, Microsoft

    On October 19, LG launched business review meetings covering all subsidiaries, chaired by Chairman Koo Kwang-mo, to assess 2026 performance and plan for 2027; the meetings will last about one month. The review will discuss specific business cooperation with Nvidia and Microsoft and follow-up implementation plans, involving AI factories, physical AI, mobility and AI infrastructure. This move is part of LG's "One LG" strategy, which aims to integrate the capabilities of its subsidiaries and achieve results in key AI markets.

    usiness review meetings covering all subsidiaries, chaired by Chairman Koo Kwang-mo, to assess 2026 performance and plan for 2027; the meetings will last about one month. The review will discuss specific business cooperation with Nvidia and Microsoft and follow-up implementation plans, involving AI factories, physical AI, mobility and AI infrastructure. This move is part of LG's "One LG" strategy, which aims to integrate the capabilities of its subsidiaries and achieve results in key AI markets.

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  3. Analytics India Magazine

    Utho Cloud Opens NVIDIA B300 GPU Pre-Orders, Planned Launch in February 2027

    Indian cloud service provider Utho Cloud has opened pre-orders for NVIDIA B300 GPUs, with deployment planned for February 2027, offering rupee billing and local hosting in India. Customers can reserve compute for 1, 2, or 3 years, with allocation following the order of pre-orders. The B300 is based on the Blackwell Ultra architecture, features 288GB of HBM3e memory, and supports large language model training, inference, and AI agent workloads.

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Tuesday

  1. NVIDIA:Newsroom

    NVIDIA Completes 104-Qubit Fault-Tolerant Quantum Computing Simulation at Jülich Supercomputing Center

    NVIDIA has completed a 104-qubit fault-tolerant quantum computing simulation on the JUPITER supercomputer at the Jülich Supercomputing Center in Germany, calling it the largest complete 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 ran under real 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.

    NVIDIA has completed a 104-qubit fault-tolerant quantum computing simulation on the JUPITER supercomputer at the Jülich Supercomputing Center in Germany, calling it the largest complete 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 ran under real noise conditions. The research team first developed the method on the GB200 NVL72 system at NVAQC, then scaled it to

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Sunday

  1. ServeTheHome

    NVIDIA RTX Spark N1X Launched: GB10 Chip Comes to the Windows Platform

    NVIDIA has launched the RTX Spark N1X SoC for Windows devices, which is based on the GB10 previously used in Linux mini-PCs. The chip consists of a CPU chiplet designed by MediaTek and a GPU chiplet designed by NVIDIA, both manufactured on TSMC's 3nm process. The CPU has 10 Cortex-X925 plus 10 Cortex-A725 cores, and the GPU has 48 SMs and 6144 CUDA cores, with a 256-bit LPDDR5X memory bus, up to 128GB of memory, and 300GB/s of bandwidth. This week, in addition to Microsoft's Surface Laptop Ultra, about six laptops and one Surface RTX Spark Dev Box mini-PC are launching on this platform.

    NVIDIA has launched the RTX Spark N1X SoC for Windows devices, which is based on the GB10 previously used in Linux mini-PCs. The chip consists of a CPU chiplet designed by MediaTek and a GPU chiplet designed by NVIDIA, both manufactured on TSMC's 3nm process. The CPU has 10 Cortex-X925 plus 10 Cortex-A725 cores, and the GPU has 48 SMs and 6144 CUDA cores, with a 256-bit LPDDR5X memory bus, up to 128GB of memory, and 300GB/s of bandwidth. This week, in addition to Microsoft's Surface Laptop Ultra

    Matched fieldsTitle、Summary、Body

Saturday