Together AI
What is Together AI?
Together AI is an AI Acceleration Cloud providing an end-to-end platform for the full generative AI lifecycle. It offers fast inference, fine-tuning, and training capabilities for generative AI models using easy-to-use APIs and highly scalable infrastructure. Users can run and fine-tune open-source models, train and deploy models at scale on their AI Acceleration Cloud and scalable GPU clusters, and optimize performance and cost. The platform supports over 200 generative AI models across various modalities like chat, images, code, and more, with OpenAI-compatible APIs.
How to use Together AI?
Users can interact with Together AI through easy-to-use APIs for serverless inference or deploy models on custom hardware via dedicated endpoints. Fine-tuning is available through simple commands or by controlling hyperparameters via API. GPU clusters can be requested for large-scale training. The platform also offers a web UI, API, or CLI to start or stop endpoints and manage services. Code execution environments are available for building and running AI development tasks.
Together AI's Core Features
Serverless Inference API for open-source models
Dedicated Endpoints for custom hardware deployment
Fine-Tuning (LoRA and full fine-tuning)
Together Chat app for open-source AI
Code Sandbox for AI development environments
Code Interpreter for executing LLM-generated code
GPU Clusters (Instant and Reserved) with NVIDIA GPUs (GB200, B200, H200, H100, A100)
Extensive Model Library (200+ generative AI models)
OpenAI-compatible APIs
Accelerated Software Stack (e.g., FlashAttention-3, custom CUDA kernels)
High-Speed Interconnects (InfiniBand, NVLink)
Robust Management Tools (Slurm, Kubernetes)
Together AI's Use Cases
Accelerating AI model training and inference for enterprises (e.g., Salesforce, Zoom, InVideo)
Building AI customer support bots that scale to high message volumes (e.g., Zomato)
Developing production-grade AI applications by unlocking data for developers and businesses
Creating next-generation text-to-video models (e.g., Pika)
Building cybersecurity models (e.g., Nexusflow)
Achieving simpler operations, improved latency, and greater cost-efficiency for AI models (e.g., Arcee AI)
Developing custom generative AI models from scratch
Performing multi-document analysis, codebase reasoning, and personalized tasks
Managing complex tool-based interactions and API function calls
Generating and debugging code with advanced LLMs
Executing visual tasks with advanced visual reasoning and video understanding
Data tasks such as classification and structured data extraction
FAQ from Together AI
What types of AI models does Together AI support?
What GPU hardware is available on Together AI?
How does Together AI optimize performance and cost?
Can I fine-tune my own models on Together AI?
Is Together AI suitable for enterprise use?
Together AI Support Email & Customer service contact & Refund contact etc.
More Contact, visit the contact us page(https://www.together.ai/contact)
Together AI Company
Together AI Company name: Together AI .
Together AI Company address: San Francisco, CA 94114.
More about Together AI, Please visit the about us page(https://www.together.ai/about).
Together AI Login
Together AI Sign up
Together AI Pricing
Together AI Pricing Link: https://www.together.ai/pricing
Together AI Linkedin
Together AI Linkedin Link: https://www.linkedin.com/company/togethercomputer
Together AI Twitter
Together AI Twitter Link: https://twitter.com/togethercompute
Together AI Reviews (0)
Together AI Pricing
Serverless Inference
Varies by model and token count
Prices are per 1 million tokens (input and output for Chat, Multimodal, Language, Code; input only for Embedding; image size/steps for Image models). Batch inference is available at an introductory 50% discount. Specific model prices range from $0.06 to $7.00 per 1M tokens depending on model size and type.
Dedicated Endpoints
Varies by GPU type, per minute/hour
Deploy models on customizable GPU endpoints with per-minute billing. Supports various NVIDIA GPUs like RTX-6000, L40, A100, H100, H200. Prices range from $0.025/minute ($1.49/hour) for RTX-6000/L40 to $0.083/minute ($4.99/hour) for H200.
Fine-tuning
Per 1M Tokens processed
Pricing is based on model size, dataset size, and number of epochs. Supervised Fine-tuning (LoRA) ranges from $0.48 to $2.90 per 1M tokens. Full Fine-tuning ranges from $0.54 to $3.20 per 1M tokens. DPO (LoRA) ranges from $1.20 to $7.25 per 1M tokens. DPO (Full FT) ranges from $1.35 to $8.00 per 1M tokens.
Together GPU Clusters
Starting at $1.30/hour
State-of-the-art clusters with NVIDIA Blackwell and Hopper GPUs (H200, H100, A100) for optimal AI training and inference. H200 starts at $2.09/hr, H100 at $1.75/hr, A100 at $1.30/hr. GB200 and B200 pricing requires contact.
Code Execution
Per hour or per session
Together Code Sandbox is priced per vCPU ($0.0446/hour) and per GiB RAM ($0.0149/hour). Together Code Interpreter is priced per session ($0.03 for 60 minutes).
For the latest pricing, please visit this link: https://www.together.ai/pricing
Analytic of Together AI
Together AI Website Traffic Analysis
Geography
Top 5 Regions
Together AI Launch embeds
Use website badges to drive support from your community for your Toolify Launch. They're easy to embed on your homepage or footer.
Alternative of Together AI
Social Listening