
AI startup, Together AI, empowers developers with cloud-based, open-source generative AI models and infrastructure.
Together AI Inference is the core product: a high-performance platform for serving open-source LLMs and generative models with industry-leading speed and cost-efficiency. Features include 2x faster inference via research optimizations, workload-specific tuning for 60% lower costs, fine-tuning APIs, pre-training on clusters, and the Together Kernel Collection.
It supports models like Llama, DeepSeek and others, with OpenAI-compatible endpoints. The full-stack AI Native Cloud powers training, RL, inference at scale for enterprises and devs.
The market for open AI infrastructure is booming as enterprises and developers shift from proprietary closed models to cost-effective, customizable open-weight solutions.
Together AI is well positioned at the intersection of inference, training, and data tools, with recent large fundraise and acquisition enabling it to capture demand for full-lifecycle AI development platforms in a market favoring transparency, control, and lower costs over vendor lock-in.
Together AI stands out with research-optimized performance: 2x faster inference than alternatives via custom kernels and speculative decoding, up to 60% lower costs through workload-specific tuning, and 90% faster pre-training with the Together Kernel Collection.
It provides full-stack coverage from data prep (via acquired Refuel.ai) to fine-tuning, inference, and dedicated clusters for 100B+ models. Supports 200+ open-source models with OpenAI-compatible APIs and no vendor lock-in. Pricing is 3-10x cheaper than closed-source providers while maintaining high reliability and security (SOC 2, HIPAA options).
Together AI employs transparent usage-based pricing that undercuts closed providers by 3-10x.
Serverless inference ranges from $0.05-$7 per million tokens. Fine-tuning starts ~$0.48 per million tokens.
Dedicated GPUs are hourly billed. New users receive free credits and dozens of free models.