Together AI provides a comprehensive suite of AI tools and services, from inference and fine-tuning to research and development. The platform is designed for AI-native applications, leveraging advanced technologies like FlashAttention and ATLAS for superior performance.
Together AI
A full-stack AI platform offering cutting-edge research-powered solutions for AI-native applications.
What is Together AI?
Key Features
✓
FlashAttention Optimization
Delivers up to 1.3× faster performance than cuDNN on NVIDIA Blackwell, ensuring high-speed AI processing.
✓
Together Instant Clusters
Self-service NVIDIA GPUs for scalable AI workloads, now generally available for developers.
✓
Batch Inference API
Process billions of tokens at 50% lower cost, optimizing large-scale AI inference tasks.
✓
Fine-Tuning Platform
Upgraded to support larger models and longer contexts, enabling customized AI solutions.
✓
ATLAS Accelerators
Runtime-learning accelerators deliver up to 4x faster LLM inference for efficient AI deployments.
✓
Model Library
Explore and fine-tune top open-source models like MiniMax M2.5, GLM-5, and GPT-OSS-120B.
Use Cases
- • High-Speed AI Inference: Use FlashAttention-optimized inference for real-time AI applications requiring low latency.
- • Scalable Batch Processing: Leverage the Batch Inference API to handle large datasets efficiently at reduced costs.
- • Custom Model Fine-Tuning: Tailor open-source models to specific business needs using the advanced fine-tuning platform.
- • AI Research Acceleration: Utilize ATLAS accelerators and Together's research tools for cutting-edge AI experimentation.
- • Self-Service GPU Clusters: Deploy self-service NVIDIA GPU clusters for flexible and scalable AI development.
FAQs
1. What is Together AI?
Together AI is a full-stack AI platform offering tools for inference, fine-tuning, and research, powered by advanced technologies like FlashAttention and ATLAS.
2. How does FlashAttention improve performance?
FlashAttention-4 provides up to 1.3× faster processing than cuDNN on NVIDIA Blackwell, optimizing AI workloads for speed.
3. What models are available in the Model Library?
The library includes top open-source models like MiniMax M2.5, GLM-5, Qwen3.5-397B, and GPT-OSS-120B for exploration and fine-tuning.
4. Can I use Together AI for batch processing?
Yes, the Batch Inference API allows you to process billions of tokens at 50% lower cost, ideal for large-scale tasks.
5. Is self-service GPU provisioning available?
Yes, Together Instant Clusters provide self-service NVIDIA GPUs for scalable and flexible AI development.
6. How does ATLAS accelerate LLM inference?
ATLAS uses runtime-learning accelerators to deliver up to 4x faster inference for large language models.
7. What are the pricing options?
Pricing varies by service, including pay-as-you-go and dedicated cluster options. Visit the pricing page for details.
Information
- Websitetogether.ai
- Published date2026/03/10
