The Takeoff Stack
Titan Takeoff is a production-ready stack designed for serving Large Language Models (LLMs) and Vision Language Models. It offers high-performance, scalable AI APIs for open, domain-specific, and custom LLMs, all deployed securely in your environment, whether on-premises or in your private cloud. At its core is the Takeoff Engine, a custom-optimized inference server built with state-of-the-art features to maximize speed and minimize costs. The Takeoff Engine is continuously updated with the latest advancements in the field, allowing you to focus on your applications without the need to become an expert in inference optimization.
The Takeoff Stack Includes:​
- Takeoff APIs: Simple REST APIs and OpenAI-compatible endpoints that enable developers to dive straight into application development without the hassle of managing inference serving infrastructure.
- Takeoff Control Plane: This includes logging, monitoring, and usage control with built-in auto-scaling (including scale-to-zero capabilities). This ensures that your models are available when needed and not incurring costs when they are not in use.
- The Takeoff Engine: Packed with research-backed features, the Takeoff Engine ensures that your chosen models run as efficiently as possible. It outperforms vLLM on various common workloads without requiring constant expert oversight to configure an ever-expanding range of options.
The Takeoff Stack enables you to deploy AI your way: on-premises, in your Virtual Private Cloud (VPC), or on a public cloud. By choosing to self-host and own your AI infrastructure, you are not tied to an external provider's infrastructure, pricing, or varying levels of uptime. The Takeoff Stack allows you to deploy a comprehensive suite of models, including generic LLMs, domain-specific models, and privately fine-tuned models. This flexibility empowers you to tailor your AI business applications to meet the unique needs of your organization, ensuring optimal performance and effectiveness.
Click on the interactive diagram below to dive deeper on the various features of the Takeoff Stack. Reach out to to us on hello@titanml.co to try out Takeoff for yourself.
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