Resource Center

Harmonizing multi-GPUs: Efficient scaling of LLM inference

*Exciting news: TitanML raises a $2.8 million pre-seed funding round to make large language model deployment far faster, cheaper, easier and more sustainable*

In the fast lane! Speculative decoding - 10x larger model, no extra cost

Deploying LLMs on small devices: An introduction to quantization

The future of generative AI: Vision and challenges

5 reasons why 2024 will be the year of the self-hosted LLM

TitanML's Titan Playground

Building applications with the Titan Takeoff Inference Server

The best way to build and deploy large language model (LLM) applications: Using the Titan Takeoff Inference Server with LangChain

End-to-end training with DeterminedAI and the Titan Takeoff Inference Server: From model training to efficient deployment

Falcon 180B integration with multi-GPU deployments: The Titan Takeoff Inference Server's solution for large AI models

Titan Takeoff: A server designed for optimized inference of large language models

TitanTakeoff x LangChain: Supercharged local inference for LLMs

Deploy large language models on smaller, cheaper hardware with the Titan Takeoff Inference Server

Inference Optimization: Why GPUs for machine learning?

Shifting sands: OpenAI's fluctuating model performance and the impact on developers

LLMs for everyone: Data Talks Club

Introducing the Titan Takeoff Inference Server 🛫

Building production-ready LLMs with specialization