Together AI Adds Container Interface to Managed Service for AI Models

Together AI launched a Dedicated Container Interface for its managed cloud service, allowing teams to deploy AI inference models by packaging runtime, dependencies, and code into containers. The platform handles GPU provisioning, networking, health checks, and monitoring, with built-in support for distributed inference via PyTorch's torchrun. The service targets organizations deploying custom AI applications without managing on-premises GPU infrastructure, as two-thirds of organizations now run AI inference workloads on Kubernetes clusters.