Together AI
Together AI is a cloud computing company focused on AI infrastructure, providing developers and enterprises with training, fine-tuning, and inference services for open-source large language models. Its platform supports API access to a range of mainstream open-source AI models, offers high-performance model hosting and deployment, and allows users to perform custom model training and optimization in the cloud, with the aim of lowering the technical barriers to AI model development and deployment.
Core Facts
Muse Spark Open can be called on the day of release through platforms such as Baseten, Fireworks AI, Groq, Modal, Nebius, OpenRouter and Together AI.
Vercel AI SDK is an open-source toolkit led by Vercel that provides a standardized large language model integration solution for JavaScript/TypeScript developers.
@ai-sdk/togetherai is the official Vercel AI SDK adapter for the TogetherAI platform, built on top of the openai-compatible base package.
Timeline (last 90 days)
Together AI provides inference compute support for the open-model portion of Greptile.
Together emphasizes that its service is 'tuned for quality and speed,' but the way quality and speed are traded off differs across tasks.
Weights trained by customers on their own data belong to the customer in terms of ownership.
In engineering practice, SFT is usually used for cold start first, followed by RL fine-tuning, which is the practical reason Together offers both paths.
Customers only need to define the data, rewards, environment, and the training loop itself, with control over business-related data and objective definitions left to the customer.
Together defines the underlying engineering such as the training loop, reward modeling, environment setup, and compute scheduling as 'hard infrastructure,' which the platform is responsible for running.
In the Together Post-Training service, the training methods support supervised fine-tuning and reinforcement learning, and the custom models are owned by the customer.
Together AI launched the Together Post-Training service, allowing developers to turn open models into custom models via supervised fine-tuning (SFT) or reinforcement learning (RL).
Together's official tweet reads: 'Turn open models into custom models you own, with SFT or RL.'
The official tweet emphasizes "keep the training loop in your own code," that is, the platform provides GPU compute and scheduling capabilities rather than a closed black-box training service.
40 more timeline events
All Facts (20)
Muse Spark Open can be called on the day of release through platforms such as Baseten, Fireworks AI, Groq, Modal, Nebius, OpenRouter and Together AI.
90%VerifiedVercel AI SDK is an open-source toolkit led by Vercel that provides a standardized large language model integration solution for JavaScript/TypeScript developers.
90%Verified@ai-sdk/togetherai is the official Vercel AI SDK adapter for the TogetherAI platform, built on top of the openai-compatible base package.
90%VerifiedOpenAI's API interface specification has become the de facto communication standard in the AI industry, and many model providers including Anthropic, Google, and Mistral offer interfaces compatible with this format.
90%VerifiedTogether AI has built an optimization system in the field of inference optimization based on high-performance operators such as FlashAttention and FlashDecoding, and has its own self-developed inference engine.
75%VerifiedInference throughput optimization relies on technologies such as KV Cache management and Continuous Batching, which directly determine response speed and service cost under concurrent user loads.
75%VerifiedTogether AI is a cloud inference platform focused on open-source large models, supporting mainstream open-source models such as Llama, Mixtral, and Qwen.
75%VerifiedVercel AI SDK（现更名为AI SDK）是由Vercel公司推出的开源AI开发工具包，为TypeScript开发者提供统一接口来调用OpenAI、Anthropic、Google Gemini等多家AI服务商的模型
75%VerifiedMulti-model aggregation platforms such as OpenRouter, Together AI, and Fireworks AI have already emerged in the commercial sector.
70%VerifiedOpen-source models such as Meta's Llama, Mistral, and DeepSeek can be run locally with one click using tools like Ollama and LM Studio.
65%VerifiedGroq, Together AI, Mistral, and local deployment solutions such as Ollama and LM Studio all choose to be compatible with OpenAI's API format.
65%UnverifiedAnthropic、Mistral、Together AI等后来者为降低开发者迁移成本，纷纷提供OpenAI兼容模式
85%UnverifiedInference service providers such as Together AI, Fireworks AI, and Groq offer API services for open-source models at extremely low prices.
70%Partially Verified从预训练检查点到可商用产品需经历监督式指令微调（SFT）和基于人类反馈的强化学习（RLHF）两个后训练阶段
65%UnverifiedIn the Together Post-Training service, the training methods support supervised fine-tuning and reinforcement learning, and the custom models are owned by the customer.
50%UnverifiedTogether's official tweet reads: 'Turn open models into custom models you own, with SFT or RL.'
50%UnverifiedTogether defines the underlying engineering such as the training loop, reward modeling, environment setup, and compute scheduling as 'hard infrastructure,' which the platform is responsible for running.
50%UnverifiedCustomers only need to define the data, rewards, environment, and the training loop itself, with control over business-related data and objective definitions left to the customer.
50%UnverifiedIn engineering practice, SFT is usually used for cold start first, followed by RL fine-tuning, which is the practical reason Together offers both paths.
50%UnverifiedWeights trained by customers on their own data belong to the customer in terms of ownership.
50%