About
Together AI builds a full-stack AI cloud platform for developing, training, fine-tuning, and running production models. It sells to AI developers, researchers, startups, and enterprises, differentiating through systems research and infrastructure optimized for AI workloads.
Market
Together AI competes in the AI infrastructure and AI cloud market, providing managed inference, model customization, and GPU compute for open-source generative AI models. It positions itself as an AI Native Cloud with a vertically integrated stack spanning accelerators, interconnects, orchestration, training, and inference. Its differentiation is the combination of research-driven efficient inference, serverless and dedicated deployment options, fine-tuning, and GPU clusters without requiring customers to manage infrastructure or make long-term commitments.
Together AI targets AI-native startups and enterprises building or operating production-scale AI applications, particularly organizations needing inference, model customization, and dedicated GPU capacity. Its primary buyers are CTOs, engineering leaders, and AI/ML teams.
At a Glance
Problem
AI teams need to move open-source models from experimentation into reliable production services, but doing so requires specialized GPUs, high-speed networking, orchestration, training, and inference infrastructure. The pain is both technical and economic: latency, throughput, GPU utilization, and serving costs directly affect the viability of AI products. Together AI’s optimization work frames the central need as reducing inference latency without massive cost, with performance gains of up to 2x for leading open-source models.
The killer use case is production inference for AI-native companies: serving popular open-source models through dependable APIs without building and operating the entire GPU and model-serving stack themselves. Fine-tuning models and scaling dedicated compute are adjacent needs for teams that want more control, lower unit economics, or specialized behavior.
Product / Service
Together AI positions itself as an AI Native Cloud: a full-stack platform spanning serverless and dedicated inference, accelerated compute, and model shaping. Its products let customers build, fine-tune, and deploy open-source models, while also providing GPU clusters on the same production-oriented platform. The delivery model combines API access for on-demand model inference with dedicated infrastructure for workloads requiring predictable capacity or deeper customization.
The benefit is consolidation and speed. Rather than separately sourcing GPUs, managing networking and orchestration, optimizing inference engines, and operating model endpoints, customers can use one platform to develop and run models. Together AI’s infrastructure and optimization focus is intended to improve latency and throughput while reducing the operational burden and cost of serving open-source AI at scale.
Market
Together AI competes in AI infrastructure and the emerging AI-native-cloud or GPU-cloud category, with a particular focus on open-source model inference, fine-tuning, training, and dedicated compute. Comparable offerings include Replicate, Fireworks AI, Anyscale, and Modal: Replicate emphasizes simple deployment, Fireworks and Together emphasize performance and model catalog breadth, Anyscale is built around Ray, and Modal offers a more general serverless compute model.
The available evidence indicates that Together AI is a commercial, scaled company rather than pre-revenue. As of July 2026, it said it was trusted by thousands of customers, including Cognition, Decagon, and Eleven; third-party reporting also described its API business as generating a material share of revenue. Its disclosed financing included a $305 million Series B announced in February 2025 at a reported $3.3 billion valuation, signaling substantial investor conviction in the market for AI infrastructure and open-source model deployment.
Founders & Leadership
Funding History
Lux Capital
Kleiner Perkins
Salesforce Ventures
General Catalyst, Prosperity7 Ventures
Aramco Ventures
Recent News
Together AI and Y Combinator announced a dedicated GPU cluster for YC portfolio companies, providing flexible, self-service access to compute for inference and training. Startups can provision GPUs for short-term sprints while benefiting from long-term rates.
Together AI launched Provisioned Throughput, a reserved inference-capacity product for frontier open models with token-based pricing and a 99% uptime SLA. It initially supports MiniMax M3 and GLM-5.2 across North America, EMEA, and other regions.
Together AI announced an $800 million Series C backed by investors including Aramco Ventures, NVIDIA, Vista Equity, General Catalyst, and Salesforce Ventures. The company also secured commitments for more than 500 MW of compute capacity to support future growth.
The New York Times reported that Together AI had announced an $800 million funding round at an $8.3 billion valuation, bringing the company's total funding to $1.3 billion. The coverage positioned Together AI as part of the shift toward lower-cost open-model AI options.
Together AI highlighted nine ICML 2026 papers spanning its full technology stack, from systems research to production AI infrastructure. The company also announced its presence at the conference in Seoul.
Together AI announced that it was the preferred cloud partner for serving MiniMax's M3 model. The launch focuses on efficient inference for a frontier open-weight model with a one-million-token context window and multimodal capabilities.
Together AI launched its first AI Native Conf and announced advances including FlashAttention 4, a Reinforcement Learning API, ThunderAgent, and ATLAS-2. The company also reported thousands of customers, more than one million developers, and 10x year-over-year growth in annual contract revenue.
Together AI introduced a new brand identity centered on its positioning as the AI Native Cloud and as a backend for AI-native builders. The announcement described the platform as providing building blocks for open-model and AI application development.
VentureBeat covered Together AI's ATLAS research and system, an adaptive speculator designed to overcome the limitations of static speculative-decoding systems. ATLAS learns from workloads in real time to improve inference speed.
Active Roles
58Business Model
Together AI generates revenue through per-token API usage for model inference and GPU server rentals for training, fine-tuning, and serving workloads. Its API business scales with inference volume, while GPU rentals represent the larger revenue share.
Products
Customers
Tech Stack
Similar Companies
Competitors
Key Investors
Prosperity7 Ventures, General Catalyst, Nvidia, Salesforce Ventures, Coatue, Lux Capital, Emergence Capital, Kleiner Perkins, NEA, 137 Ventures