Triton Inference Server - Introduction
Last updated
Last updated
Copyright Continuum Labs - 2023
The Triton Inference Server is an open-source platform designed to deploy and manage AI models across various environments efficiently.
It supports a wide range of machine learning and deep learning frameworks, including TensorFlow, PyTorch, ONNX, OpenVINO, and others, making it versatile for different AI applications.
Multi-Framework Support:Triton is compatible with numerous AI frameworks, allowing teams to deploy models regardless of the framework they were trained in.
Cross-Platform Deployment: It can be deployed across various platforms, including cloud, data centers, edge devices, and embedded systems, and supports NVIDIA GPUs, x86 and ARM CPUs, and AWS Inferentia.
Optimised Performance: Triton offers optimised performance for various query types, such as real-time, batch, ensemble, and audio/video streaming, ensuring efficient resource utilisation.
Concurrent Model Execution: It enables the simultaneous execution of multiple models, enhancing throughput and reducing latency.
Dynamic Batching: This feature groups together incoming inference requests for batch processing, improving efficiency and resource utilisation.
Sequence Batching and State Management: Triton manages stateful models effectively with sequence batching and implicit state management, crucial for applications like time-series analysis.
Custom Backends and Pre/Post-Processing: The Backend API allows the addition of custom backends and operations, providing flexibility to tailor the server to specific needs.
Model Pipelines: With ensembling and Business Logic Scripting (BLS), users can create complex model pipelines for advanced inference scenarios.
Multiple Inference Protocols: Triton supports HTTP/REST and GRPC protocols, making it accessible from various client applications.
Monitoring and Metrics: It provides detailed metrics on GPU utilization, server throughput, and latency, aiding in performance monitoring and optimization.
Triton Inference Server is part of NVIDIA AI Enterprise, offering a robust platform for developing and deploying AI models at scale.