What is Together AI
Discover Together AI's $3.3B-valued AI Acceleration Cloud featuring NVIDIA Blackwell GPUs. Train & deploy 200+ open-source models with 2-3x faster inference, SOC 2/HIPAA compliance, and enterprise-grade security. Trusted by Salesforce, Zoom, and Washington Post.
Overview of Together AI
- AI Acceleration Cloud Platform: Together AI provides a comprehensive cloud infrastructure optimized for training, fine-tuning, and deploying generative AI models at scale using NVIDIA Blackwell GB200 GPUs and proprietary FlashAttention-3 technology.
- Open Source Leadership: Powers 450K+ developers with access to 200+ open-source models including DeepSeek-R1 and Llama variants through enterprise-grade inference solutions with full model ownership capabilities.
- Full Lifecycle Support: Offers end-to-end AI development from synthetic data generation to production deployment through integrated tools like CodeSandbox for code interpretation and Cartesia Sonic for ultra-low latency voice AI.
Use Cases for Together AI
- Enterprise AI Development: Used by Salesforce and Zoom for customer support automation through fine-tuned LLMs with private data isolation capabilities.
- Media Content Generation: Powers Washington Post's AI journalism workflows with real-time article drafting using Mixture of Agents architecture achieving 65.1% AlpacaEval scores.
- Healthcare Synthetic Data: Enables HIPAA-compliant synthetic patient record generation through Medusa framework integrations.
Key Features of Together AI
- 3X Inference Speed: Proprietary kernel collection delivers industry-leading performance with 24% faster training operations compared to hyperscaler solutions through advanced quantization techniques.
- Multi-Modal Architecture: Supports text (Llama 3.2), vision (405B parameter models), audio (Cartesia Sonic), and code modalities with SOC2/HIPAA-compliant VPC deployment options.
- Blackwell GPU Clusters: Operates 36K+ NVIDIA GB200 NVL72 GPUs across North American data centers with InfiniBand interconnects for large-scale model training (16-1000+ GPU configurations).
Final Recommendation for Together AI
- Recommended for AI Infrastructure Teams: Ideal for enterprises requiring scalable GPU clusters with optimized total cost of ownership for frontier model development.
- Preferred Open Source Platform: Optimal choice for developers needing API access to cutting-edge models like DeepSeek-R1 while retaining full IP control.
- Critical Infrastructure Partner: Essential solution for regulated industries requiring FIPS-140 compliant AI deployment through private cloud configurations.
Frequently Asked Questions about Together AI
What is Together AI?▾
Together AI is a platform and toolkit for working with large language models, offering tools to train, fine-tune, deploy, and run models while emphasizing developer workflows and reproducibility.
What services and tools does Together AI provide?▾
Typical offerings include model hosting and inference, fine-tuning pipelines, experiment tracking, evaluation suites, and developer APIs/SDKs to integrate models into applications.
How do I get started with Together AI?▾
Start by creating an account or exploring the public docs and quickstart guides, then try the SDK or API examples to run inference or a simple fine-tuning workflow.
Does Together AI support open-source models and common ML frameworks?▾
Yes, it is generally compatible with open-source models and standard frameworks such as PyTorch and tooling like Hugging Face, enabling you to import or export models and checkpoints.
Can I run models on my own infrastructure or only in the cloud?▾
Many platforms like Together AI offer both managed cloud hosting and self-hosting options (or private deployment) so you can choose based on cost, latency, and compliance needs; check the docs for exact deployment modes.
Does Together AI support fine-tuning and customization of models?▾
Yes — you can typically fine-tune models on your own datasets or use parameter-efficient tuning methods and then deploy the customized models for inference.
What kind of APIs and SDKs are available?▾
Expect REST APIs plus language SDKs (commonly Python and JavaScript) to perform inference, manage models, and run training or evaluation jobs; refer to the documentation for code examples and authentication details.
How is data privacy and security handled?▾
Platforms like Together AI usually provide enterprise controls such as encryption in transit and at rest, access controls, and options for private networking or on-prem deployments — consult their security documentation for specifics.
How is pricing structured?▾
Pricing typically depends on usage (inference hours, training compute, storage) and plan level; there are often free trial tiers and paid plans for production or enterprise needs, so review the pricing page or contact sales for detailed quotes.
Where can I get help or report issues?▾
Support is commonly available via documentation, community forums or chat, GitHub issues for open-source components, and direct enterprise support channels or sales for paid customers.
User Reviews and Comments about Together AI
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