NVIDIA Triton Inference Server — Production AI Inference at the Edge
NVIDIA Triton Inference Server is the leading open-source inference serving platform that standardizes AI model deployment and execution across cloud, data center, and edge environments. It supports every major framework — TensorFlow, PyTorch, ONNX, TensorRT, Python, and custom backends — and optimizes inference on NVIDIA GPUs, x86 CPUs, and ARM processors. Triton powers production AI inference for companies like Microsoft, Tencent, and Siemens, handling billions of inferences per day with features like dynamic batching, model ensemble pipelines, and concurrent model execution. Its integration with NVIDIA's Jetson platform makes it the standard for edge AI inference in robotics, autonomous vehicles, and industrial IoT.
Features
✦Multi-framework support: serve TensorFlow, PyTorch, ONNX, TensorRT, and custom backends
✦Dynamic batching: automatically group requests for 5-10x throughput improvement
✦Model ensembles: chain multiple models into pipelines with shared preprocessing
✦Concurrent execution: serve multiple models on the same GPU with resource isolation
✦Edge deployment: optimized for NVIDIA Jetson, DRIVE, and IGX edge AI platforms
✦Model monitoring: track latency, throughput, and error rates per model in real-time
Pricing
basicFree (open source, Apache 2.0 license)
proFree (self-hosted, community support)
enterpriseCustom (NVIDIA AI Enterprise license, production support, SLA)
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