NVIDIA Triton Inference Server 2.x: the de facto standard for production inference
In one sentence NVIDIA consolidates Triton as the open-source platform for serving PyTorch, TensorFlow, and ONNX models in production, with dynamic batching, multi-GPU support, and gRPC/HTTP APIs.
Once an AI model is ready, the next challenge is running it in production for many users at the same time. NVIDIA built a dedicated server for exactly this purpose called Triton.
Triton acts like a maître d' for AI models: it receives requests from multiple clients, groups them intelligently to maximize GPU usage, and returns results. It supports all major model formats without rewriting any code.
Version 2.x consolidates critical features like dynamic batching and multi-GPU distribution, becoming the industry reference for anyone wanting to deploy AI models in a scalable and efficient way.
Companies
NVIDIA
Tools
Triton Inference Server, TensorRT, ONNX Runtime, PyTorch, TensorFlow
Tags
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