Together AI

Together AI is a comprehensive AI platform providing high-performance infrastructure for inference, fine-tuning, and model training. The platform specializes in delivering exceptional speed and cost-efficiency while maintaining high accuracy, offering access to over 200 open-source models through a unified API interface.

Main Features

Ultra-Fast Inference

Together AI’s proprietary inference engine delivers industry-leading performance, with speeds up to 4x faster than vLLM and other popular inference solutions. This enables developers to achieve exceptionally high throughput with models like Llama 3, reaching up to 400 tokens per second at full precision.

Extensive Model Library

The platform provides access to more than 200 state-of-the-art open-source models across various categories, including:

• Large language models (Llama, DeepSeek, Qwen, Mistral)
• Vision models (Llama Vision, Qwen-VL)
• Image generation (FLUX)
• Embeddings and reranking models
• Audio and speech models

Model Fine-Tuning

Together AI offers comprehensive fine-tuning capabilities, allowing users to customize models with their own data while maintaining complete ownership of the resulting models. The platform supports both full fine-tuning and LoRA (Low-Rank Adaptation) approaches for efficient adaptation.

Dedicated Endpoints

For production workloads requiring consistent performance, Together AI provides dedicated endpoints with configurable auto-scaling and up to 99.9% SLA guarantees. These endpoints can be deployed either on Together Cloud or within a customer’s VPC for enhanced security.

GPU Clusters

Together offers high-performance GPU clusters powered by NVIDIA GB200, H200, and H100 GPUs for large-scale training and inference tasks. These clusters feature high-speed InfiniBand interconnects and are optimized with custom CUDA kernels for maximum throughput.

Use Cases

1. AI-Powered Applications

   • Building responsive chatbots and virtual assistants
   • Developing content generation platforms
   • Creating multimodal applications combining text, image, and audio

2. Enterprise Solutions

   • RAG (Retrieval-Augmented Generation) systems
   • Document analysis and summarization
   • Customer service automation

3. Model Development

   • Fine-tuning models for specific domains
   • Training custom models from scratch
   • Experimenting with state-of-the-art architectures

4. High-Performance Computing

   • Research requiring massive computational resources
   • Large-scale model training
   • Performance-critical inference deployments

Pricing and Plans

Free Tier (2025)

• $1 credit for trying various models
• Free access to select models:
  • Llama 3.3 70B Instruct Turbo Free
  • DeepSeek R1 Distilled Llama 70B Free
  • Llama 3.2 11B Vision Free
  • FLUX.1 [schnell] Free
• Rate limits for free tier:
  • Chat/Language models: 60 RPM and 60,000 TPM
  • Embedding models: 3,000 RPM and 1,000,000 TPM
  • Image models: 60 images per minute (10 for FLUX.1 [schnell])
• No daily rate limits, unlike many competitors

Build Tier

• Pay-as-you-go pricing based on token usage
• Pricing varies by model size and complexity
• Increasing rate limits based on usage:
  • Tier 1 ($25 paid): 600 RPM, 180,000 TPM
  • Tier 5 ($1,000 paid): 6,000 RPM, 2,000,000 TPM
• Access to all 200+ models
• Deploy on-demand dedicated endpoints

Enterprise

• Custom rate limits with no token limits
• VPC deployment options
• 99.9% SLA with geo-redundancy
• Priority access to advanced hardware
• Dedicated support and success representative

Integration

Together AI provides an OpenAI-compatible API, making it easy to migrate from other providers:

from together import Together

# Initialize the client
client = Together()

# Generate text with a model
response = client.chat.completions.create(
    model="meta-llama/Meta-Llama-3.1-8B-Instruct-Turbo",
    messages=[
        {"role": "user", "content": "Explain quantum computing in simple terms"}
    ]
)

print(response.choices[0].message.content)

The platform continues to expand its capabilities, staying at the forefront of AI innovation with research-driven improvements to its infrastructure and model offerings.