Together AI

Overview

Together AI stands at the forefront of AI infrastructure innovation, providing organizations with the computational power and tools needed to build, train, and deploy generative AI models at scale. Founded in 2022 by a team of Stanford researchers and entrepreneurs including Vipul Ved Prakash, Ce Zhang, Percy Liang, and Chris Re, the company has rapidly emerged as a critical infrastructure provider in the AI ecosystem.

With a valuation of $3.3 billion following its $305 million Series B funding round in February 2025, Together AI serves major enterprises including Salesforce, Zoom, ElevenLabs, and Hedra. The company’s platform processes millions of API requests daily, supporting over 200 open source models and enabling organizations to achieve complete ownership of their AI capabilities while maintaining cost efficiency and performance standards that exceed traditional cloud providers.

The company’s unique position combines academic research excellence with practical engineering solutions, delivering infrastructure that makes advanced AI accessible to organizations of all sizes. Together AI’s commitment to open source development and community-driven innovation has established it as the preferred platform for companies seeking independence from proprietary AI providers while maintaining enterprise-grade reliability and performance.

Core Platform

Together AI’s platform architecture delivers comprehensive AI infrastructure through four integrated components that address the complete model lifecycle. The Serverless Inference system provides instant access to over 200 pre-optimized models including Llama, Mixtral, and DeepSeek variants, achieving speeds of up to 400 tokens per second with automatic scaling and load balancing.

The Dedicated Endpoints service offers isolated compute resources for production workloads, ensuring consistent performance with SOC 2 Type 2 compliance and enterprise security standards. Organizations can deploy custom models with guaranteed throughput and latency SLAs, making it suitable for mission-critical applications requiring predictable performance characteristics.

Fine-Tuning capabilities enable organizations to customize foundation models on proprietary data using distributed training techniques that reduce time and cost by up to 90% compared to traditional approaches. The platform supports various fine-tuning methods including LoRA, QLoRA, and full parameter updates, with automatic hyperparameter optimization and experiment tracking.

The GPU Clusters offering provides access to cutting-edge NVIDIA hardware including H100, H200, and the latest Blackwell GB200 GPUs. Together AI’s proprietary scheduling and orchestration layer maximizes GPU utilization while minimizing idle time, delivering cost savings of 11x compared to major cloud providers while maintaining comparable or superior performance metrics.

AI Infrastructure Solutions

Together AI’s technical innovations center around three breakthrough technologies that fundamentally improve AI model efficiency. FlashAttention-3, developed by Chief Scientist Tri Dao, reduces memory usage by 10-20x and increases training speed by 3x for transformer models, enabling organizations to train larger models on existing hardware or reduce infrastructure costs significantly.

The company’s Speculative Decoding technology accelerates inference by 2.5x without changing model outputs, using smaller draft models to predict tokens that are then verified by larger models in parallel. This approach maintains accuracy while dramatically reducing latency, particularly beneficial for real-time applications and interactive AI systems.

Custom Inference Kernels optimized for specific model architectures and hardware configurations deliver performance improvements of 30-50% over standard implementations. These kernels are continuously updated to support new model architectures and leverage hardware-specific features, ensuring customers always receive optimal performance without engineering overhead.

Together AI’s RedPajama initiative demonstrates the company’s commitment to open source development, providing high-quality training datasets that have enabled the creation of numerous open source models. This ecosystem approach ensures a continuous pipeline of innovation while reducing dependency on proprietary data sources and models.

Market Impact

Together AI’s influence extends across multiple dimensions of the AI industry. The company processes over 100 billion tokens monthly, supporting production workloads for enterprises ranging from Fortune 500 companies to innovative startups. With projected revenue of $120 million for 2025, representing 140% year-over-year growth, Together AI has demonstrated sustainable business model viability in the competitive AI infrastructure market.

The platform’s cost efficiency has enabled new AI use cases previously infeasible due to economic constraints. Customers report average cost reductions of 85% compared to proprietary AI services while maintaining or improving performance metrics. This democratization of AI infrastructure has particularly benefited mid-market companies and research institutions that previously lacked resources for large-scale AI deployments.

Together AI’s contributions to open source AI research have accelerated industry-wide innovation. The FlashAttention technology has been adopted by major AI frameworks and is now standard in efficient transformer implementations. The company’s research team has published over 50 peer-reviewed papers, with citations exceeding 10,000, establishing thought leadership in AI optimization and distributed computing.

Strategic partnerships with NVIDIA, Salesforce, and other technology leaders have positioned Together AI as a bridge between hardware innovation and practical AI applications. The company’s early access to next-generation GPU architectures enables customers to leverage cutting-edge hardware capabilities immediately upon availability, maintaining competitive advantages in rapidly evolving markets.

Future Vision

Together AI’s roadmap focuses on three strategic initiatives that will shape the company’s growth trajectory through 2026. The Global Infrastructure Expansion will establish data centers in Europe, Asia, and additional North American locations, reducing latency for international customers while ensuring data sovereignty compliance. This expansion includes partnerships with regional cloud providers and telecommunications companies to deliver edge AI capabilities for latency-sensitive applications.

The Model Ecosystem Development initiative aims to support 1,000+ open source models by 2026, including specialized models for vertical industries such as healthcare, finance, and manufacturing. Together AI is investing in automated model optimization tools that will enable any organization to deploy custom models with enterprise-grade performance without deep technical expertise.

Research and Development investments totaling $100 million over the next two years will focus on quantum-resistant AI security, federated learning infrastructure, and next-generation model compression techniques. The company is establishing an AI Safety Institute in collaboration with academic partners to ensure responsible AI development while maintaining innovation velocity.

Together AI’s vision extends beyond infrastructure provision to enabling a future where every organization can leverage AI capabilities tailored to their specific needs without vendor lock-in or prohibitive costs. By maintaining focus on open source development, technical excellence, and customer success, Together AI is positioned to become the foundational infrastructure layer for the next generation of AI applications, supporting the transition from experimental AI to production-scale deployments across all industries.