Sold by: TrueFoundry
Deploy AI workloads on any infrastructure: inference, fine-tuning, agents and MCP servers as standard Kubernetes apps.
4.6
Overview
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.
Highlights
- Train and deploy Compound AI Applications on Kubernetes.
- Achieve 40-60 % cost savings in production.
- GPU & Infra management, LLM Gateway, Future Safe GenAI Applications.
Details
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Deployed on AWS
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Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
TrueFoundry Enterprise | Standard enterprise contract for installation and up to 10 developers using the TrueFoundry platform. | $100,000.00 |
Dimension | Description | Cost/unit |
|---|---|---|
additional_users | Additional usage fee. | $1.00 |
Vendor refund policy
All fees are non-cancellable and non-refundable except as required by law.
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Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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Support
Vendor support
Please checkout our Trust Center at https://trust.truefoundry.com/ and for support email us at support@truefoundry.com / founders@truefoundry.com . We provide documentation, tutorials, and a dedicated support team to assist clients in their use of our platform.
AWS infrastructure support
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Similar products
TrueFoundry AI Gateway is the enterprise control plane for AI - unified access to 1000+ LLMs, MCP servers, and agents with centralized governance, cost tracking, and security. Deployable in VPC, on-prem, or air-gapped. SOC2, HIPAA, GDPR compliant
Customer reviews
Computer Software
Seamless AI Gateway with Standout Observability and Model Routing
Reviewed on Jul 23, 2026
Review provided by G2
What do you like best about the product?
The AI gateway is seamless to use. Observability and model routing in particular are stand out features.
What do you dislike about the product?
The onboarding docs need to be providing more information
What problems is the product solving and how is that benefiting you?
Managing AI load, auth, budget observability
Ravindra N.
Simplified Kubernetes ML Deployments That Boost Productivity
Reviewed on Jul 18, 2026
Review provided by G2
What do you like best about the product?
What I like most about TrueFoundry is how it simplifies the deployment and management of machine learning models and AI applications on Kubernetes. It abstracts much of the infrastructure complexity, allowing teams to focus on building and improving models rather than managing cloud resources. Streamlined deployment of ML models and AI services with minimal DevOps effort. Built-in support for Kubernetes, autoscaling, and GPU workloads. Easy integration with popular ML frameworks and MLOps tools. Centralized monitoring, logging, and model management. Developer-friendly interface that accelerates the path from experimentation to production. For me, the most valuable feature is the simplified model deployment workflow. It significantly reduces the time and effort required to move machine learning models from development into a production environment while maintaining scalability and reliability. The biggest benefit is increased productivity. TrueFoundry enables faster deployment, easier infrastructure management, and more reliable AI application delivery, allowing teams to iterate on models more quickly and spend less time on operational overhead.
What do you dislike about the product?
The biggest drawback is the learning curve around infrastructure concepts. While TrueFoundry simplifies many operational tasks, understanding Kubernetes, networking, and deployment strategies is still helpful for getting the most out of the platform. Some advanced deployment and infrastructure options require a solid understanding of cloud-native concepts. Debugging deployment issues across complex ML pipelines can take time.
What problems is the product solving and how is that benefiting you?
TrueFoundry solves the challenge of deploying, scaling, and managing machine learning models and AI applications in production. Instead of manually configuring cloud infrastructure, Kubernetes clusters, and deployment pipelines, it provides a streamlined platform for running AI workloads reliably. Simplifies deployment of ML models and AI applications to production. Automates infrastructure management, scaling, and resource allocation. Supports GPU workloads and integrates with popular machine learning frameworks. Provides centralized monitoring, logging, and model lifecycle management. Reduces the operational overhead of maintaining production AI services. In my workflow, TrueFoundry helps shorten the path from model development to deployment. Rather than spending time configuring infrastructure and deployment pipelines, I can focus on improving models and delivering AI features more quickly. The biggest benefit is faster AI deployment and improved operational efficiency. TrueFoundry reduces infrastructure complexity, accelerates model delivery, and helps ensure AI applications remain scalable, reliable, and easier to manage in production.
Tara B.
Exceptional Prototyping Speed with One-Click Deployments and Branch-Based Iteration
Reviewed on May 03, 2026
Review provided by G2
What do you like best about the product?
The prototyping speed is exceptional thanks to the one-click deployment system. The ability to deploy specific branches or commits makes rapid iteration easy, and the built-in SSH server support for VS Code has noticeably improved my day-to-day productivity.
What do you dislike about the product?
I’d like to see more robust Role-Based Access Control (RBAC) features to better safeguard our production environments. An approval-based workflow for deployment rollouts would also be a major benefit, since it would add an extra layer of security and oversight before changes go live, especially in a high-stakes environment.
What problems is the product solving and how is that benefiting you?
It basically eliminates the need for a developer to dive into complex DevOps work. It feels like a plug-and-play solution: you choose what you need without having to master the underlying infrastructure details. That emphasis on “quick iterations” is crucial for our project timelines, and it helps keep the team focused on building features instead of spending time managing servers.
Deepak M.
TrueFoundry Unifies Infrastructure, Deployment, and Governance for Production-Ready AI
Reviewed on Apr 13, 2026
Review provided by G2
What do you like best about the product?
What I like best about TrueFoundry is its ability to bring together infrastructure, deployment, and governance into a cohesive platform, making it significantly easier to move AI use-cases from experimentation to production. It strikes a strong balance between technical flexibility and enterprise readiness, which is critical for scaling AI adoption.
What do you dislike about the product?
The platform is very strong from an infrastructure and LLMOps perspective. The main opportunity I see is in expanding pre-built, industry-specific accelerators or templates, which could significantly improve time-to-value and make it easier for organizations to scale AI adoption more quickly.
What problems is the product solving and how is that benefiting you?
TrueFoundry is solving the challenge of operationalizing AI at scale by unifying deployment, infrastructure management, and observability into a single platform. This reduces the complexity involved in moving from experimentation to production.
For us, the benefit is faster time-to-value, better coordination across teams, and the ability to scale AI use-cases in a controlled and cost-efficient manner, which is critical for enterprise adoption.
For us, the benefit is faster time-to-value, better coordination across teams, and the ability to scale AI use-cases in a controlled and cost-efficient manner, which is critical for enterprise adoption.
Shobhit V.
Ensures Business Continuity with Exceptional Support
Reviewed on Apr 09, 2026
Review provided by G2
What do you like best about the product?
I like trueFoundry's excellent customer service, which is crucial when you're under time pressure and need to understand complex AI gateway systems. The breadth of product features is impressive, and the CLI for config as code is beneficial as it integrates seamlessly with our CI/CD pipeline, making changes efficient and systematic. The initial setup was easy, and the platform provides a central view for usage and cost monitoring while ensuring business continuity by automatically routing traffic to another provider if there's an outage.
What do you dislike about the product?
I can't think of anything. But I think they should expand into LLM evaluations as well.
What problems is the product solving and how is that benefiting you?
I use trueFoundry for AI Gateway management, ensuring business continuity during provider outages, and monitoring usage and cost. The CLI integrates with CI/CD to streamline changes, and good customer support helps in navigating its complexities under pressure.