Together AI – Build, deploy, and optimize AI models with ultra-fast, scalable solutions.

Together AI is a leading cloud platform designed for generative AI, providing ultra-fast, scalable, and efficient solutions for building, deploying, and optimizing AI models. It offers a comprehensive suite of products including Together Inference, Together Fine-tuning, Together Custom Models, and Together GPU Clusters, catering to both individual developers and large enterprises.

The platform is particularly valuable for teams working on advanced AI agents and complex research and discovery projects, offering the computational power and flexibility needed for cutting-edge development.

What is Together AI?

Together AI is a cloud platform engineered to accelerate the entire lifecycle of AI model development. It provides developers and enterprises with the infrastructure and tools needed to train, fine-tune, and deploy generative AI models at scale, with a strong emphasis on performance and cost-efficiency.

By abstracting away much of the underlying infrastructure complexity, it allows teams to focus on innovation, making it a powerful asset for research and development in the fast-moving AI space.

Key Features

• Ultra-fast Inference: Industry-leading speed for training and inference tasks.

• Custom Model Building: Build and deploy state-of-the-art models tailored to specific needs.

• Scalable GPU Clusters: Flexible, powerful GPU clusters that scale with project demands.

• Open-source Commitment: Transparency and community-driven development through projects like RedPajama.

• Cost-Effectiveness: Competitive pricing designed to make high-performance AI accessible.

Use Cases

• Tech Startups: Rapidly developing and deploying proprietary AI models to gain a market edge.

• Academic Researchers: Utilizing open-source models and scalable compute for experimental research and paper replication.

• AI Consultants: Building and fine-tuning custom models for diverse client applications and industries.

• Large Enterprises: Deploying scalable, enterprise-grade AI solutions for internal automation and customer-facing products.

Underlying AI Models or Technology

Together AI's platform is built to support a wide array of generative AI models, with a particular focus on large language models (LLMs) and other natural language processing models. Its performance advantages are driven by proprietary optimizations like FlashAttention-2 and Monarch Mixer architectures, which enhance computational efficiency for core language generation and modeling tasks.

Pricing

Together AI operates on a "Contact for Pricing" model. This typically indicates customized pricing tiers based on usage, compute requirements (like GPU cluster size), and specific service levels (Inference, Fine-tuning, Custom Models).

Prospective users are encouraged to visit the official Together AI website for the latest and most accurate pricing information and to explore potential trial options.

Pros and Cons

Pros

• Industry-leading speed and efficiency for AI training and inference.

• High degree of flexibility with custom model building and scalable GPU clusters.

• Strong commitment to open-source AI and community-driven development.

Cons

• Advanced platform with a learning curve that may be steep for beginners or those new to AI infrastructure.

• Optimal performance requires access to substantial computational resources.

Alternatives

Teams evaluating AI development platforms may also consider these alternatives, which cater to different needs within the broader ecosystem of AI assistants and automation tools.

• Replicate: Focuses on easy one-click deployment of open-source machine learning models.

• RunPod: Provides GPU cloud infrastructure and serverless containers for AI workloads.

• Modal: A platform for running and scaling code in the cloud, popular for AI/ML batch jobs and backends.

• Baseten: Aims to simplify model deployment and serving with a focus on developer experience.