Together AI

Together AI is a cutting-edge artificial-intelligence company that positions itself at the very centre of the open-source and generative-AI revolution. At its core, Together AI has built a platform designed to provide the compute, tools and workflow environment for organisations to train, fine-tune and deploy large language models and multimodal models at scale. The company emerged at the intersection of hardware (especially GPU clusters and high-performance interconnects) and software (model APIs, fine-tuning pipelines, inference endpoints), recognising that the rapid proliferation of open-source models demanded a fundamentally different infrastructure architecture compared to traditional cloud tools. From the outset, the company has emphasised openness, transparency and developer-centric design—allowing enterprises and research teams alike to avoid being locked into closed proprietary stacks and instead leverage a flexible, high-performance “AI acceleration cloud”.

Together AI’s platform supports a comprehensive lifecycle for generative models: pre-trained model access, fine-tuning/customisation, inference endpoints and GPU-cluster orchestration. Developers using the platform can spin up dedicated clusters of cutting-edge hardware (for example Nvidia HGX or Blackwell architectures) and deploy them in a self-service or enterprise-dedicated fashion. Meanwhile, the company delivers APIs and workflow tools that are compatible with popular developer patterns – meaning organisations can migrate from legacy model providers or build entirely novel architectures without reinventing their stack from scratch. The value proposition lies in simplifying what historically was a complex engineering problem: stitching together compute, networking, storage, model frameworks and orchestration without excessive cost, vendor-lock, or management overhead.

Beyond infrastructure, Together AI is also active in advancing the research and open-source communities around AI models. It actively contributes to model engineering, kernel optimisations (for example custom CUDA kernels or InfiniBand-level interconnects), distributed training improvements, and longer-context architectures. This means its role isn’t purely as a service provider but as a participant in shaping how generative models evolve. Furthermore, the company emphasises enterprise-grade features—compliance (e.g., SOC 2, HIPAA ready), private-cloud deployment, dedicated instances and high availability—so that organisations with stringent security, regulatory or scale demands can adopt the platform with confidence as part of their AI roadmap.

Looking ahead, Together AI is positioned to ride several converging trends: the shift from closed-source LLMs toward open-source alternatives, the explosion of inference demand (in edge, multimodal and embedded environments), the escalating hardware arms-race for AI compute, and the move of large enterprises to treat ML model delivery as strategic infrastructure rather than experimental sideline. With an offering that blends high-performance infrastructure, open-source readiness and enterprise operationalisation, Together AI aims to become the go-to foundation for the next generation of AI-driven products, workflows and systems across industries such as finance, healthcare, gaming, enterprise SaaS and more.