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Snorkel uses Modal for AI agent simulations and cost savings

By PulseAugur Editorial · [1 sources] ·

Snorkel, an AI data lab, is leveraging Modal's platform to run large-scale agent simulations and benchmarks. Modal's GPU and VM sandboxes provide realistic environments for evaluating AI agents across various tasks, including coding and ML engineering. Snorkel has also seen a cost reduction of approximately 10-15% by utilizing Modal's memory bursting feature, which allows sandboxes to elastically adjust their resource allocation. AI

IMPACT Enables more realistic and cost-effective evaluation of AI agents, potentially accelerating model development.

RANK_REASON This is a case study of a company using an AI platform for its operations, not a direct release from a frontier AI lab.

Read on Modal blog →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Snorkel uses Modal for AI agent simulations and cost savings

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This is a case study of a company using an AI platform for its operations, not a direct release from a frontier AI lab.
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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product, infra
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High
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4 days old
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COVERAGE [1]

  1. Modal blog TIER_1 English(EN) ·

    How Snorkel runs realistic agent simulations with Modal

    Modal powers inference for the open-weight models that Snorkel is evaluating as well as GPU and CPU sandboxes for millions of simulations per month.

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