Funding

Nvidia eyes $20B stake in AI data startup Mercor for open-source push

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Nvidia eyes $20B stake in AI data startup Mercor for open-source push

Nvidia is in discussions to back AI data-labeling startup Mercor in a new funding round that would value the company at $20 billion, according to The Information. This investment would support Nvidia's open-source Nemotron models, which compete with top open-weight systems globally.

TL;DR

  • Nvidia is reportedly investing in Mercor at a $20B valuation, doubling its October valuation.
  • Mercor's data is crucial for Nvidia's open-source Nemotron models, with Nvidia paying tens of millions for specialized human-expert data last quarter.
  • This investment is part of Nvidia's broader surge in corporate venture activity, with $18.6 billion invested in the fiscal quarter ending in April.

What happened

Nvidia is in discussions to invest in AI data-labeling startup Mercor in a new funding round that would value the company at $20 billion, according to a report by The Information. General Catalyst, an existing backer of Mercor, is leading the investment round. Nvidia's potential contribution and the precise size of the investment are not yet determined.

Mercor's data is integral to Nvidia's open-source Nemotron AI models, with Nvidia paying tens of millions of dollars last quarter for high-quality data curated by domain experts. Mercor's annualized gross revenue reached $2 billion in June, doubling its figure from earlier in the year.

Nvidia's investment in Mercor is part of a broader surge in corporate venture activity. In the fiscal quarter ending in April, Nvidia invested $18.6 billion into private enterprise investments and infrastructure funds, exceeding its total investment output for the entire previous year.

Why it matters

This investment underscores Nvidia's commitment to developing its open-source Nemotron AI models, which compete with top open-weight systems globally. Mercor's data is crucial for these models, with a dedicated group of Mercor employees now focusing almost entirely on Nvidia operations.

For AI/ML developers, this investment highlights the growing importance of high-quality, human-evaluated data in training AI models. It also demonstrates Nvidia's aggressive strategy to secure data sources for its open-source models.

For startup founders and tech investors, this news signals Nvidia's expanding venture capital deployment across the AI ecosystem. It also indicates a competitive landscape for AI data providers, with Nvidia investing in multiple data startups, including Scale AI.

Key facts

  • Mercor's valuation would double from $10 billion in October to $20 billion in the new funding round.
  • Nvidia paid Mercor tens of millions of dollars last quarter for high-quality data curated by domain experts.
  • Mercor's annualized gross revenue reached $2 billion in June, doubling its figure from earlier in the year.
  • Nvidia invested $18.6 billion into private enterprise investments and infrastructure funds in the fiscal quarter ending in April.
  • General Catalyst is leading the investment round in Mercor.
  • Mercor has raised about $520 million to date from prominent Silicon Valley backers, including Benchmark and Felicis.
  • Nvidia previously participated in Scale AI's 2024 funding round, which valued that startup at $14 billion.
  • Nvidia's Open-Source AI Capabilities

Context

This investment is part of Nvidia's broader strategy to develop its open-source Nemotron AI models, which compete with top open-weight systems globally. It also reflects a growing trend in the AI industry, where companies are increasingly investing in high-quality, human-evaluated data to train their models.

The investment in Mercor is not Nvidia's first foray into the AI data space. The company has also invested in Scale AI, another AI data provider, demonstrating its commitment to securing data sources for its AI models.

Nvidia's aggressive investment strategy is part of a broader trend in the tech industry, where companies are increasingly deploying capital to secure strategic assets and gain a competitive edge in the rapidly evolving AI landscape.

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