Together AI provides an AI-native cloud platform engineered for accelerating model training, fine-tuning, and inference on performance-optimized GPU infrastructure. The platform offers a comprehensive suite of tools, including a model library, serverless inference APIs, and self-service GPU clusters featuring frontier hardware. This infrastructure delivers industry-leading unit economics and performance for developers building large-scale generative AI applications.
Funding
$513.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
+27Founders
Product
Problem
Training and deploying generative AI models requires significant computational resources, specialized infrastructure, and expertise, creating barriers for many organizations and developers. Existing cloud solutions can be expensive and lack the flexibility to fully control the AI development lifecycle.
Solution
Together AI provides a cloud platform designed to streamline the entire generative AI lifecycle, from model development to production deployment. The platform offers access to a wide range of open-source and specialized multimodal models, along with tools for fine-tuning and customization. By leveraging NVIDIA GPUs and optimized software, Together AI enables users to achieve high performance at a lower cost compared to traditional cloud providers. The platform supports both serverless inference and dedicated endpoints, allowing users to deploy models in enterprise VPCs or on-premise environments. Together AI also offers GPU clusters for large-scale AI workloads, providing full control over the training process.
Target Audience
The primary target audience includes AI developers, researchers, and enterprises seeking a cost-effective and flexible platform for training, fine-tuning, and deploying generative AI models.
Features
- Access to over 200 generative AI models, including Llama, Gemma, Qwen, and Mixtral
- Serverless Inference API for quick deployment of AI models
- Dedicated Endpoints for deploying models on custom hardware
- Fine-tuning capabilities for tailoring models to specific tasks with complete model ownership
- GPU Clusters powered by NVIDIA GB200, H200, and H100 GPUs
- Optimized inference engine with transformer-optimized kernels and quality-preserving quantization
- Support for full fine-tuning and LoRA fine-tuning
- OpenAI-compatible APIs for easy migration from closed LLMs
- Integration with Slurm and Kubernetes for dynamic AI workload orchestration