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Together

Artificial Intelligence
Together AI is a San Francisco-based cloud computing platform providing GPU infrastructure and inference services specifically optimized for training and running open-source AI models.
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Together AI was founded in 2022 by Vipul Ved Prakash, Ce Zhang, Chris Re, and Percy Liang, several with deep academic machine learning research backgrounds, based on the observation that as open-source AI models, such as those from Meta's Llama family and various other openly available model weights, became increasingly capable and widely used as alternatives to proprietary AI models from major labs, companies and developers needed specialized, cost-effective computing infrastructure specifically optimized for running these open models efficiently, rather than relying entirely on either general-purpose cloud computing infrastructure not specifically optimized for AI workloads, or proprietary AI model APIs that don't offer the customization, cost control, and data privacy benefits that self-hosted or dedicated open-model infrastructure can provide. Together AI's platform provides cloud-based GPU infrastructure and managed inference services specifically optimized for training and running open-source AI models, letting companies and developers access, fine-tune, and deploy open-weight AI models with performance and cost efficiency the company argues is difficult to achieve using general-purpose cloud infrastructure not specifically optimized for these AI-specific computing workloads. The company has positioned itself as a champion of the broader open-source AI movement, arguing that widely available open-weight models paired with specialized, efficient infrastructure to run them represent an important alternative to depending entirely on a small number of proprietary AI labs' closed models and APIs, giving companies more control over model customization, data privacy, and cost as they build AI-powered products and features. Together AI has conducted its own AI research alongside its infrastructure business, including research on techniques for making AI training and inference more computationally efficient, work that directly informs the performance and cost advantages the company argues its specialized infrastructure offers relative to more general-purpose cloud computing alternatives. The company's customers span AI startups, enterprises, and developers building applications using open-source AI models who want specialized, cost-efficient infrastructure rather than managing this specialized AI computing infrastructure themselves. Together AI has raised substantial venture funding from investors including Kleiner Perkins, Salesforce Ventures, and Nvidia, reaching a valuation exceeding $3.3 billion according to PitchBook data, positioning itself within the competitive "neocloud" AI infrastructure category alongside competitors including CoreWeave and Lambda.
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