Overview
Together AI is a full-stack cloud platform for AI developers, focusing on high-performance model inference, fine-tuning, and pre-training services. The platform supports over 200 open-source models and is recognized for its outstanding performance in inference speed, cost optimization, and developer-friendliness. Its core philosophy is to make intelligence abundant and affordable, leveraging proprietary inference optimization technology and the Together Kernel Collection to help users achieve faster inference speeds (2x improvement), lower costs (60% reduction), and more efficient pre-training (90% acceleration).
Key Features
- Serverless Inference: Provides the fastest on-demand operation of open-source models without infrastructure management or long-term commitments. Based on cutting-edge inference research, it achieves low latency and high throughput.
- Batch Inference: Supports asynchronous processing of large-scale workloads, scaling to 30 billion tokens per model. Suitable for scenarios requiring efficient handling of massive data, supporting any serverless model or private deployment.
- Provisioned Throughput: Offers token-based pricing, reserved throughput, and 99% uptime SLA. API is compatible with production workloads without additional infrastructure management.
- Model Shaping and Fine-Tuning: Supports customized fine-tuning and optimization of open-source models, helping users adjust model behavior for specific tasks or data, improving performance in vertical domains.
- Pre-Training Acceleration: Achieves 90% improvement in pre-training speed through the Together Kernel Collection, optimizing GPU utilization and shortening the cycle from experimentation to deployment.
- Full-Stack Cloud Platform: Covers the entire AI development process, from experimental exploration to large-scale production deployment, providing integrated services such as inference, computing, and model shaping.
Use Cases
- Applications requiring rapid deployment of open-source models for real-time inference (e.g., chatbots, content generation)
- Handling large-scale asynchronous inference tasks (e.g., batch text analysis, data annotation)
- Fine-tuning open-source models for specific business scenarios (e.g., customer service, healthcare, finance)
- Production-grade AI services requiring high throughput and SLA guarantees
- Accelerating pre-training experiments to shorten model development cycles
Pros
- Fast inference speed with 2x acceleration based on proprietary optimization technology
- Low cost, reducing expenses by 60% through workload optimization
- Supports 200+ open-source models, offering a wide selection
- Provides flexible deployment options including serverless, batch, and provisioned throughput
- Developer-friendly with strong API compatibility, no infrastructure management required
- Full-stack platform covering the entire process from experimentation to production
Pricing
Together AI adopts a paid model with token-based pricing. Serverless inference is billed based on actual usage, while batch inference and provisioned throughput offer more economical options, with specific prices depending on the model and resource requirements. The platform also provides reserved throughput plans suitable for production workloads.
Summary
Together AI is suitable for AI development teams and enterprises needing high-performance, low-cost inference and fine-tuning capabilities. Its core strengths lie in extremely fast inference speeds, a rich ecosystem of open-source models, and flexible deployment options, particularly ideal for scenarios requiring rapid experimentation and scalable deployment of AI applications.