Text Generation Inference - AI Model Serving Tool

Overview

Text Generation Inference is an open-source toolkit for serving and deploying large language models (LLMs). It provides inference-focused runtimes with Rust, Python, and gRPC integrations and supports tensor parallelism for efficient scaling.

Key Features

• Serve LLMs via Rust, Python, and gRPC interfaces
• Optimized for inference workloads
• Supports tensor parallelism for efficient scaling
• Tooling focused on model serving and deployment

Ideal Use Cases

• Deploy LLMs in inference-optimized production environments
• Scale inference across multiple GPUs using tensor parallelism
• Integrate model inference into Rust, Python, or gRPC applications
• Run evaluation and benchmarking for text generation models

Getting Started

• Clone the Text Generation Inference GitHub repository
• Follow the repository README to install dependencies and build
• Choose the Rust or Python runtime and start the server
• Connect your application to the server using gRPC
• Configure tensor-parallelism and resource settings for scaling

Pricing

Not disclosed in the provided project metadata.

Key Information

• Category: Model Serving
• Type: AI Model Serving Tool