Faster, cheaper, and easier LLM deployments
TitanML's Takeoff Inference Server is the LLM deployment solution for ML teams.
TitanML's flagship product, Takeoff, enables ML teams to effortlessly and efficiently deploy large language models using state of the art inference optimization and compression methods.
The best LLM deployments, every time, with the Titan Takeoff Inference Server
Deploy to smaller GPUs and even CPUs with best in class inference optimisation
Takeoff utilizes state-of-the-art hardware-aware runtime acceleration techniques as standard, making your models significantly faster, even on CPU deployments or smaller GPUs!
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Deployment infrastructure and Ops sorted
Optimised serving architecture automatically created to allow for effortless deployments at scale.
Abstract away the difficulties of deploying and serving large language models so ML teams can focus on ML.
Support for all LLMs and all hardwares so you get the best deployment every time in one framework.
Deploy on your hardware or cloud of choice effortlessly
Takeoff empowers ML teams to deploy wherever they need to on whatever hardware they want, even on-prem. Takeoff creates optimised deployments for all clouds and all hardwares.
Always achieve the best inference speeds
Takeoff utilizes state-of-the-art hardware-aware runtime acceleration techniques as standard, making your models significantly faster, even on CPU deployments or smaller GPUs!
Reduce the environmental impacts of your LLM deployments
Takeoff uses memory compression and inference optimization meaning teams can deploy better models on smaller compute instances - saving significant amounts of carbon! Users have reported saving 70-90% of carbon on their cloud deployments.
Why is TitanML Takeoff the best way to deploy LLMs?