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The Washington Post uses Together AI for 1.79B monthly tokens with open models

By PulseAugur Editorial · [2 sources] ·

Together AI has enabled The Washington Post to process 1.79 billion input tokens monthly using open-source models like Llama and Mistral. This partnership provides The Post with predictable costs and complete control over their AI model stack. This collaboration highlights how organizations can achieve AI independence by leveraging efficient inference infrastructure. AI

IMPACT Enables media organizations to achieve greater control and cost predictability in their AI deployments.

RANK_REASON This cluster describes a specific use case of an AI infrastructure provider (Together AI) by a media company (The Washington Post), rather than a new model release or significant industry-wide event.

Read on X — Together (inference / OSS) →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

The Washington Post uses Together AI for 1.79B monthly tokens with open models

COVERAGE [2]

  1. X — Together (inference / OSS) TIER_1 English(EN) · togethercompute ·

    The Washington Post processed 1.79B input tokens per month through Together AI, running open models like Llama and Mistral in production with predictable costs

    The Washington Post processed 1.79B input tokens per month through Together AI, running open models like Llama and Mistral in production with predictable costs and full control over the model stack.

  2. X — Together (inference / OSS) TIER_1 English(EN) · togethercompute ·

    The Washington Post processed 1.79B input tokens per month through Together AI, running open models like Llama and Mistral in production with predictable costs

    The Washington Post processed 1.79B input tokens per month through Together AI, running open models like Llama and Mistral in production with predictable costs and full control over the model stack. https://t.co/g7M1BX5r27

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