Text Generation Inference - AI Model Serving Tool

Overview

Text Generation Inference is a toolkit for serving and deploying large language models for text generation. It provides Rust, Python, and gRPC interfaces, is optimized for inference, and supports tensor parallelism for efficient scaling.

Key Features

• Serve and deploy large language models for text generation
• Rust, Python, and gRPC interfaces for inference
• Optimized for inference
• Supports tensor parallelism for efficient scaling
• Tooling to integrate inference into applications

Ideal Use Cases

• Deploy scalable text-generation APIs
• Integrate LLM inference into Python applications
• Embed inference into Rust services or gRPC clients
• Scale inference across multiple GPUs using tensor parallelism

Getting Started

• Clone the GitHub repository
• Install required dependencies and runtime
• Select and configure the model for serving
• Configure tensor parallelism and deployment settings
• Start the inference server using Rust, Python, or gRPC
• Send a test text-generation request to verify inference

Pricing

Not disclosed.

Key Information

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