Together AI
AI cloud for inference, fine-tuning, and GPU compute
You are leaving botconomy for the provider’s website. Link verified 9/22/2026.
What this product helps you do
Together AI is a full-stack AI cloud spanning on-demand inference, batch jobs, dedicated endpoints and containers, model fine-tuning, accelerated compute, and sandbox infrastructure. Developers can start with APIs and scale into reserved or dedicated resources while choosing among supported open and custom models.
Problems it solves
- Teams need API access to many open models without operating inference servers
- Production workloads need choices between serverless, batch, provisioned, and dedicated capacity
- Custom models need managed fine-tuning and deployment paths
- Large AI workloads require scalable GPU compute and sandbox infrastructure
Together AI is an AI cloud for inference, model customization, and accelerated compute. Its platform includes serverless and batch inference, provisioned throughput, dedicated model endpoints and containers, fine-tuning, GPU clusters, code sandboxes, and managed storage.
Most services use consumption or hardware-based pricing, with model-specific token rates and separate charges for training, deployment, and compute. Developers can begin with self-serve APIs and move to dedicated or contracted capacity as workload requirements change.
Information
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Together AI is an AI cloud for inference, model customization, and accelerated compute. Its platform includes serverless and batch inference, provisioned throughput, dedicated model endpoints and containers, fine-tuning, GPU clusters, code sandboxes, and managed storage.
Most services use consumption or hardware-based pricing, with model-specific token rates and separate charges for training, deployment, and compute. Developers can begin with self-serve APIs and move to dedicated or contracted capacity as workload requirements change.
What this product helps you do
Together AI is a full-stack AI cloud spanning on-demand inference, batch jobs, dedicated endpoints and containers, model fine-tuning, accelerated compute, and sandbox infrastructure. Developers can start with APIs and scale into reserved or dedicated resources while choosing among supported open and custom models.
Problems it solves
- Teams need API access to many open models without operating inference servers
- Production workloads need choices between serverless, batch, provisioned, and dedicated capacity
- Custom models need managed fine-tuning and deployment paths
- Large AI workloads require scalable GPU compute and sandbox infrastructure
Information
You are leaving botconomy for the provider’s website. Link verified 9/22/2026.
Related AI products
Exa
Exa provides APIs for web search, page contents, structured deep research, monitoring, and agent workflows, with latency and output controls designed for model and agent applications.
SimplAI
SimplAI provides chat-based and visual agent builders, orchestration, knowledge, model routing, integrations, MCP and A2A connectivity, evaluations, observability, governance, and flexible deployment for enterprise agents.
OpenRouter
OpenRouter provides one OpenAI-compatible API and credit balance for models from many providers, with model comparison, configurable provider routing, fallbacks, and usage reporting.
