The ACE Agent NLP Server is designed to integrate various NLP models and tasks into bots built using the ACE Agent. It exposes a unified RESTful interface, enabling seamless interaction with different NLP models. The server supports deploying models using the NVIDIA Triton Inference Server and is compatible with NVIDIA TensorRT, PyTorch, ONNX, and Python backends. Additionally, it allows the deployment of Hugging Face supported models using PyTriton or the integration of externally deployed models through custom model clients.

Features

• Unified RESTful Interface: Provides a single interface for integrating various NLP models and tasks.
• Model Deployment: Supports NVIDIA Triton Inference Server for deploying models.
• Backend Compatibility: Compatible with NVIDIA TensorRT, PyTorch, ONNX, and Python backends.
• Hugging Face Integration: Allows deployment of Hugging Face supported models using PyTriton.
• Custom Model Clients: Enables integration of externally deployed models through custom model clients.
• Security: Includes signed images and comprehensive security scanning.

Benefits

• Versatility: Supports a wide range of NLP models and tasks.
• Ease of Integration: Simplifies the integration of NLP models into bots with a unified interface.
• Flexibility: Allows the use of various backends and custom model clients.
• Security: Ensures secure operations with signed images and thorough security scans.