Together AI offers a cloud platform dedicated to generative artificial intelligence. Based in San Francisco, the company positions itself between computing power providers and teams building AI applications. Its offering, available at together.ai, makes it possible to use existing models, adapt them to specific data and deploy them without having to build all the necessary technical infrastructure.
A company rooted in the research ecosystem
Founded in 2022, Together AI brings together entrepreneurial and academic expertise. Its co-founders include Vipul Ved Prakash, who leads the company, as well as researchers Percy Liang and Christopher Ré, both affiliated with Stanford University. These close ties to research underpin a focus on open models and techniques that reduce the cost of using them.
The company has grown in the wake of the spread of large language models. It advocates an alternative to offerings based exclusively on proprietary models: allowing customers to choose from several model families and retain greater flexibility in adapting them. This openness remains subject, however, to each model’s specific license.
From model access to GPU infrastructure
The first part of the offering concerns inference, meaning running a model to produce a response. Together AI provides API access to a catalog that includes models from the Llama and Qwen families, among others. Developers can thus integrate text generation, coding assistance or image processing features into their products, depending on the capabilities of the selected models.
The platform also offers fine-tuning to adapt a model’s behavior to a particular use case or corpus. For more demanding needs, Together AI provides dedicated deployments and clusters of graphics processing units, used for both training and inference. The company therefore combines a layer of software services with access to computing resources.
Its commercial proposition rests in particular on performance, cost control and deployment flexibility. For customers, the trade-offs involve more than just the listed price: latency, request volume, availability and privacy requirements also matter.
What next?
Together AI operates in a market where major cloud providers, specialized providers and model developers compete directly. Its trajectory will depend in particular on its ability to make open models easy to use in production while ensuring a level of service suited to businesses.
The proliferation of models may increase the appeal of a platform capable of offering several in one place. But it also requires continuous integration and optimization efforts. For Together AI, the challenge will be to turn this technical diversity into a lasting advantage that goes beyond access to computing power alone.