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With Titan Takeoff, inferencing and deploying LLMs has never been easier

Step 1

Step 2

The Takeoff Server selects the best inference optimization techniques for your hardware and model and prepares it for deployment

iris takeoff --model your-model --device any-device

Accuracy preserving memory compression for easier deployment

State-of-the-art inference optimization for lowest latency possible

High performance multi-threaded Rust server for scaling

Complex deployment support for multi-GPU and multi-model inference

Step 3

Deploy the Titan Takeoff Inference Server on whatever hardware or cloud that works for you and then deploy it at scale.

Download and deploy the chosen model in the format of choice for a variety of deployment options

Low code and highly optimized deployments, Takeoff exposes an API for easy integration and inference

Models are perfectly optimized for your hardware of choice - CPU, GPU or otherwise

About

Struggling with the costs associated with LLM deployments?

Takeoff always uses state-of-the-art inference optimization techniques to ensure the cheapest and most efficient deployments.
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Having significant data privacy challenges when deploying through third parties?

Takeoff empowers on-prem and cloud deployments, meaning enterprises have complete control over where their models go.

Struggling to keep up to date with the latest developments in AI?

Takeoff stays on top of the latest models, hardwares, and inference optimization techniques so ML Engineers don't have to.
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Frustrated with the speed at which your ML team can experiment with different LLMs?

Takeoff offers a sophisticated training platform, making it easy to train, benchmark, and deploy NLP deep learning models.