NVIDIA Triton Inference Server: Versatile AI model deployment solution
NVIDIA Triton Inference Server is a powerful, flexible tool that enables teams to deploy AI models from multiple frameworks, optimizing performance across various hardware platforms and serving scenarios.
Multi-framework support
Deploy models from various deep learning and machine learning frameworks with support for TensorRT-LLM, TensorFlow, PyTorch, ONNX, OpenVINO, Python, RAPIDS FIL and more, through a unified deployment process across different AI technologies, offering flexibility to use the best framework for each specific task.
Cross-platform deployment
Deploy models across cloud, data center, edge and embedded devices with compatibility for NVIDIA GPUs, x86 and ARM CPUs, providing a consistent inference experience across diverse hardware and optimized performance for each platform.
Performance optimization
Deliver optimized performance for various query types with support for real-time, batched, ensemble and streaming inference, utilizing dynamic batching for improved throughput and concurrent model execution to maximize resource utilization.
Scalability and flexibility
Easily scale and adapt to changing workloads and requirements with sequence batching and implicit state management for stateful models, a backend API for custom backends and Business Logic Scripting (BLS) pipelines for complex workflows.
Versatility
One solution for deploying models from multiple frameworks across various platforms.
Integration and connectivity
Integrate seamlessly with multiple protocols and APIs, including HTTP/REST and gRPC inference protocols based on the community-developed KFServing protocol, as well as C and Java APIs for direct linking into applications, making it ideal for edge and in-process use cases.
Performance
Optimized inference for different query types and hardware configurations.
Monitoring and metrics
Comprehensive metrics for performance monitoring and optimization allow you to track GPU utilization, server throughput and more.
Scalability
Easily scale from edge devices to large-scale cloud deployments.
Fields to apply AI inference
Enterprise AI deployment
- Large-scale model serving for recommendation systems in e-commerce
- Real-time natural language processing for customer support chatbots
- Computer vision applications for quality control in manufacturing
Edge AI and IoT
- Smart city applications with distributed inference on edge devices
- Autonomous vehicles with on-board AI processing
- Industrial IoT for predictive maintenance and anomaly detection
Ready to supercharge your AI Inference?
Deploy NVIDIA Triton Inference Server on Nebius and unlock the full potential of your AI models.