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TodayOct 18Sun
Oct 16Fri
  1. Hugging Face Blog50

    Scaling Indic Pretraining: 2.8 Trillion Tokens and an Open Data Generation Pipeline

    NVIDIA and IIT Madras's AI4Bharat released the Nemotron-pretraining-Indic-v1 pretraining corpus, roughly 2.8 trillion tokens covering all 22 scheduled languages of India, with 2,601.0B natural-script tokens and 224.6B romanized tokens (Gemma-4 tokenizer statistics); it will soon ship alongside an open-source, GPU-accelerated data generation pipeline.

Oct 15Thu
  1. NVIDIA Blog71

    Open From Data Center to Desktop: NVIDIA Expands Nemotron Family With Highest Efficiency Super VL and Bolt Models

    NVIDIA has released the open-source 120-billion-parameter multimodal model Nemotron 3.5 Super VL, plus two on-device models — Nemotron 3.5 Bolt 74B-A9B 24GB (already available) and Bolt E4B 4GB (available October 23) — covering agent deployment from data centers to local hardware.

    Why it matters: NVIDIA discloses parameters, quantization and deployment tiers for the three open Nemotron models, so readers can pick the enterprise, workstation or 4GB on-device option that fits.

Oct 13Tue
  1. NVIDIA Blog68

    All Systems Go: Global PC App Ecosystem Ready for NVIDIA RTX Spark

    NVIDIA announced that RTX Spark laptops go on sale October 16, with up to 128GB unified memory and 1 petaflop of AI compute, alongside multiple software updates released with ecosystem partners.

    Why it matters: The official roundup covers the software ecosystem around the RTX Spark launch, with specific updates and timing for local agent, creative, and developer tools.

Oct 9Fri
Oct 8Thu
  1. NVIDIA Blog72

    NVIDIA, Microsoft Kick Off a New Beginning for Windows PCs With RTX Spark and AI Agents

    NVIDIA and Microsoft announced at the Windows AI and Surface event in San Francisco that they are jointly building agent software and hardware for Windows PCs.

    Why it matters: The article details the specs and launch timeline for RTX Spark and DGX Station for Windows, helping readers assess how realistic running large models locally with resident agents will be.

Oct 7Wed
  1. Hugging Face Blog73

    One Model Family, Two Gold-Level Results: Fine-Tuning Nemotron for IOI and IMO

    The NVIDIA team, building on Nemotron 3, used SFT, RL, and a generate-verify-improve reasoning system to score 30/42 at IMO 2026 (gold threshold 29), while Nemotron-3-Ultra-CC scored 535.4/600 in unofficial IOI 2026 testing (gold threshold 361.12).

    Why it matters: The article lays out the complete fine-tuning and inference recipe from base model to gold medal, with open weights, data, and pipelines, so readers can reproduce this domain-specialization approach.

Sep 18Fri