Thursday, February 6, 2025

NVIDIA Triton Inference Server: Optimize AI Model Deployment

NVIDIA Triton Inference Server

Inference for Every AI Workload

Install, operate, and expand AI for every platform and application.

Using NVIDIA Triton Inference Server, run inference on learnt machine learning or deep learning models from any framework on any CPU, GPU, or other processor. Triton Inference Server, an open-source program that is a component of the NVIDIA AI platform and accessible with NVIDIA AI Enterprise, standardizes the deployment and operation of AI models across all workloads.

The Benefits of Triton Inference Server

Supports All Training and Inference Frameworks

Use Triton Inference Server to deploy AI models on any popular framework, such as scikit-learn RandomForest, OpenVINO, RAPIDS cuML, XGBoost, ONNX, NVIDIA TensorRT, Python, PyTorch, TensorFlow, and custom C++.

High-Performance Inference on Any Platform

Optimize throughput and utilization with streaming audio and video, concurrent execution, dynamic batching, and ideal configuration. All NVIDIA GPUs, x86 and Arm CPUs, and AWS Inferential are supported by Triton Inference Server.

Open Source and Designed for DevOps and MLOps

Include Triton Inference Server with DevOps and MLOps tools like Prometheus for monitoring and Kubernetes for scaling. Additionally, it is compatible with all of the main on-premises and cloud AI and MLOps systems.

Enterprise-Grade Security, Manageability, and API Stability

With support, security, and API stability, NVIDIA AI Enterprise which includes NVIDIA Triton Inference Server is a production-ready, safe AI software platform that speeds up time to value.

Explore the Features and Tools of NVIDIA Triton Inference Server

Large Language Model Inference

Triton provides high throughput and low latency for inferencing large language models (LLMs). TensorRT-LLM, an open-source library for creating, refining, and running LLMs for inference in production, is supported.

NVIDIA PyTriton

You can use Triton Model Ensembles to carry out AI tasks including a variety of models, pipelines, and pre- and postprocessing stages. It supports several frameworks inside the ensemble and permits the execution of various ensemble components on the CPU or GPU.

Model Ensembles

To speed up development and testing, PyTriton enables Python developers to launch Triton with only one line of code and use it to serve models, basic processing operations, or complete inference pipelines.

NVIDIA Triton Model Analyzer

Finding the ideal model deployment configuration, including batch size, accuracy, and concurrent execution instances, takes less time with Model Analyser. It assists in choosing the best setup to satisfy the memory, throughput, and latency needs of the application.

See What the Customers Are Achieving With Triton

  • Discover how NVIDIA Triton Inference Server and machine vision and data science services from Oracle Cloud Infrastructure accelerate AI predictions.
  • Find out how Control Expert used NVIDIA AI to create a comprehensive claims management system that enables 24/7 client support.
  • Learn how Wealth simple effectively shortened the time it took to deploy their model from several months to just 15 minutes by utilising NVIDIA’s AI inference technology.

Hear From Experts

Watch it How to Get Started With AI Inference series to hear from experts. You can study a full-stack approach to AI inference and how to optimise the AI inference workflow to reduce cloud costs and increase user acceptance at your own speed with these videos.

Move Enterprise AI Use Cases From Development to Production

Come learn about the exciting field of AI inference from professionals and see how NVIDIA’s AI inference platform can help you successfully move your trained AI models and enterprise AI use case from development to production.

Harness the Power of Cloud-Ready AI Inference Solutions

Learn how the NVIDIA AI inference platform easily connects with top cloud service providers, streamlining implementation and accelerating the introduction of AI application cases driven by LLM.

Unlocking AI Model Performance

Discover how to effectively manage models with Triton Model Navigator and use the hyperparameter search feature of Triton Model Analyzer to strike the ideal balance between latency and throughput.

Accelerate AI Model Inference at Scale for Financial Services

Explore the depths of NVIDIA AI inference software’s capabilities and learn how it transforms know-your-customer, anti-money laundering, payment security, and fraud detection systems for banks and insurance firms.

Drakshi
Drakshi
Since June 2023, Drakshi has been writing articles of Artificial Intelligence for govindhtech. She was a postgraduate in business administration. She was an enthusiast of Artificial Intelligence.
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