Together AI

Together AI is a full-stack AI Native Cloud platform designed to accelerate every stage of the AI development lifecycle — from experimentation to large-scale production. It combines high-performance inference APIs, GPU compute clusters, fine-tuning tools, and developer environments, all backed by original systems research including FlashAttention, ThunderKittens, and ATLAS. The platform targets AI-native teams that need speed, cost efficiency, and control without managing complex infrastructure.

• Serverless Inference — Run open-source models on demand via API with no infrastructure to manage; supports chat, vision, image, audio, video, transcription, embeddings, reranking, and moderation.
• Batch Inference — Process massive asynchronous workloads at up to 50% lower cost; scales to 30 billion tokens per model.
• Dedicated Model Inference — Deploy models on single-tenant GPU instances (H100, H200, B200) with guaranteed performance, autoscaling, and custom model support.
• Dedicated Container Inference — GPU infrastructure purpose-built for generative media workloads including video, audio, and image models.
• GPU Clusters — Self-service NVIDIA GPU clusters (H100, H200, B200, GB200, GB300) available on-demand hourly or reserved for longer durations.
• Fine-Tuning — Train open-source models using Supervised Fine-Tuning (SFT) or Direct Preference Optimization (DPO) with LoRA or full fine-tuning; supports models up to 100B+ parameters.
• Evaluations — Measure and compare model quality to guide model selection and fine-tuning decisions.
• Sandbox — Fast, secure code sandboxes for building full-scale development environments for AI apps and agents.
• Managed Storage — High-performance object storage and parallel filesystems optimized for AI workloads with zero egress fees.
• Model Library — Access a curated library of top open-source models from Meta, DeepSeek, Qwen, Google, Mistral, and more.
• Research-Backed Performance — Platform improvements driven by published research (FlashAttention-4, ATLAS, ThunderKittens) delivering up to 2× faster inference and 60% lower cost.