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

Published

16 October 2026

Topic

opportunities

◆ Sectors

AI & ML

◆ Geography

India

◆ Source

Read at huggingface.co →

◆ Verified

Fusion42 · 16 October 2026 · Fusion42 review

NVIDIA and IIT Madras' AI4Bharat lab have collaborated to release Nemotron-pretraining-Indic-v1, a large-scale open dataset containing approximately 2.8 trillion tokens across 22 Indian languages, alongside a GPU-accelerated open data generation pipeline for translation, quality assessment, and repair.

This Wire brief sits within Fusion42's coverage of AI & ML.

◆ ◆ The Wire takeaway

You can now build more capable Indian language AI models using this massive open dataset and pipeline, opening doors to improve products for nearly 1.2 billion native speakers. Adapting this open recipe lets you expand training data beyond current limits and target local language nuances.

◆ Coverage

1 source · 16 Oct 2026

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◆ Topics

AI & MLindic-languagesdata-generationopen-sourcenlplanguage-models