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Tuesday

  2. 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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    #ai-news#Industry news#English text is being prepared.#English text is being prepared.

Monday

  1. Modal Official Engineering Blog

    NVIDIA Vera CPU Doubles Modal Sandboxes Throughput

    NVIDIA delivered the first Vera CPU server to Modal. On Modal's self-built Agentless Agent Bench (50 Terminal-Bench oracle tasks), Vera increased Modal Sandboxes throughput by 2x. Vera is NVIDIA's new Arm-compatible CPU for the Vera Rubin GPU platform, and can also be used as a standalone CPU server; Modal previously ran only x86 machines and needed to rework its infrastructure and image build system to support Arm. Modal says that under heavy load Vera's latency performance is actually better, breaking the usual throughput-latency tradeoff.

    Serial task latency in seconds for ten selected workloads on NVIDIA Vera, Intel GNR, AWS Graviton 4, AWS Graviton 5, and AMD Zen 5

    NVIDIA delivered the first Vera CPU server to Modal. On Modal's self-built Agentless Agent Bench (50 Terminal-Bench oracle tasks), Vera increased Modal Sandboxes throughput by 2x. Vera is NVIDIA's new Arm-compatible CPU for the Vera Rubin GPU platform, and can also be used as a standalone CPU server; Modal previously ran only x86 machines and needed to rework its infrastructure and image build system to support Arm. Modal says that under heavy load Vera's latency performance is actually better,

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    #company#Industry news#English text is being prepared.#English text is being prepared.
  2. PyTorch Blog

    One Search, Two Layers of Optimization: PyTorch Helion Introduces Compiler Controls with NVIDIA CompileIQ

    PyTorch Helion can now search ptxas compiler control parameters through NVIDIA CompileIQ, jointly with the existing kernel configuration search, further tapping performance headroom on the roughly 27 kernels that have already been pre-tuned. CompileIQ packages tuning results as a portable Advanced Control File (ACF); Helion supports specifying a fixed ACF, and also supports searching multiple ACFs together as one dimension of autotuning. These compiler controls are exposed by ptxas starting from CUDA 13.3.

    Helion logo

    PyTorch Helion can now search ptxas compiler control parameters through NVIDIA CompileIQ, jointly with the existing kernel configuration search, further tapping performance headroom on the roughly 27 kernels that have already been pre-tuned. CompileIQ packages tuning results as a portable Advanced Control File (ACF); Helion supports specifying a fixed ACF, and also supports searching multiple ACFs together as one dimension of autotuning. These compiler controls are exposed by ptxas starting from

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    #engineering#Tutorials / practice#English text is being prepared.#Open-source ecosystem
  6. 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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    #engineering#Tutorials / practice#English text is being prepared.#Open-source ecosystem
  7. 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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    #hot-signal#Industry news#OpenAI
  9. 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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    #hot-signal#Industry news#English text is being prepared.#English text is being prepared.

Sunday