TrueFoundry AI Deploy
by ENSEMBLE LABS PRIVATE LIMITED
Deploy AI workloads on any infrastructure: inference, fine-tuning, agents and MCP servers
TrueFoundry AI Deploy is a unified control plane that lets you deploy, scale, and operate LLMs, agents, MCP servers, workflows, batch jobs, and ML models from a single interface across your Azure environment.
Deploy GPU-backed LLM inference on Azure using vLLM, Triton, or custom containers. Run long-running AI agents with persistent memory and tool execution. Deploy MCP servers to securely expose enterprise APIs and tools. Orchestrate multi-step workflows and schedule batch jobs for training or data processing. All workload types use the same deployment patterns and operational controls.
Autoscaling adjusts resources based on real-time demand, scaling GPU workloads up during peak traffic and down when usage drops. Auto-shutdown stops idle infrastructure after configurable periods, preventing GPU waste during off-peak hours while maintaining on-demand restart capability.
Native Azure integration with support for Azure Kubernetes Service (AKS), Azure VMs, and private VNets. Deploy workloads in your own Azure subscription with full control and isolation. Seamlessly integrate with Azure Active Directory for authentication and Azure Key Vault for secret management.
Integrated logs, metrics, health checks, and rollout strategies provide production-ready operations. Native CI/CD integration accelerates delivery while maintaining security.
Works seamlessly with AI Gateway, MCP Gateway, and Agent Gateway. Deploy provides the execution layer while the gateways govern access, routing, and policy enforcement.
One platform. Every AI workload. Fully deployable within your Azure environment. SOC 2, HIPAA, GDPR compliant.