Multi-framework, multi-device inference at production scale.
NVIDIA Triton is the high-performance inference server for serving any model framework, including PyTorch, TensorFlow, ONNX, TensorRT, OpenVINO and vLLM, on CPU or GPU, with dynamic batching, model versioning and ensemble support. Triton is the workhorse for production model serving at scale.
I design Triton deployments tuned for latency, throughput and cost, with rolling-update model management, multi-tenant isolation, GPU scheduling, and security boundaries between models and tenants. I integrate Triton with the broader observability and security stack.