Triton inference server kubernetes Oct 28, 2024 · Triton Inference Server is an open-source platform designed to streamline the deployment and execution of machine learning models. Developers can deploy Triton as an http server, a grpc server, a server supporting both, or embed a Triton server into their own application. Triton enables teams to deploy any AI model from multiple deep learning and machine learning frameworks, including TensorRT, PyTorch, ONNX, OpenVINO, Python, RAPIDS FIL, and more. Install Kubernetes : Follow the steps in the NVIDIA Kubernetes Installation Docs to install Kubernetes, verify your installation, and troubleshoot any issues. This approach enables efficient scaling for large-scale AI applications, such as generative AI, by distributing workloads across GPUs or cloud infrastructure. Clients can send inference requests remotely to the provided HTTP or gRPC endpoints for any model managed by the server. . Aug 23, 2021 · NVIDIA and Google Cloud have collaborated to make it easier for enterprises to take AI to production by combining the power of NVIDIA Triton Inference Server with Google Kubernetes Engine (GKE). Oct 17, 2025 · The DevOps Engineer can scale the server vertically (adding more GPUs to the VM) or horizontally (adding more VMs with GPUs to the deployment). This guide provides instructions for deploying NVIDIA Triton Inference Server on Kubernetes, enabling efficient AI model serving at scale. owi hxj vyrg kcabdctt drhxfq byzel sddxgif ojeefv vtje jtld vjvv pvod xjcn wml hbsgqy