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The Training Triton Inference Server - Deploying Scalable AI Inference training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.
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Dive into the expert architecture of Triton Inference Server, install the environment with Docker and NVIDIA GPU, configure backends for TensorFlow, PyTorch and ONNX, test your first inference models on real enterprise cases, perform initial benchmarks to identify bottlenecks, produce a baseline performance report ready for optimization.
Integrate hybrid models into Triton Inference Server using dynamic model ensembles, optimize with TensorRT to accelerate inference up to 10x, manage model versions for zero-downtime deployments, practice on large enterprise datasets, develop automated conversion scripts, validate latency and throughput metrics under real conditions.
Deploy Triton Inference Server on Kubernetes using custom Helm charts, implement GPU metrics-based horizontal autoscaling, extend functionalities via C++ plugins for specific business needs, simulate extreme enterprise loads, configure gRPC/HTTP load balancing, generate monitoring dashboards with Prometheus for proactive production supervision.
Secure Triton Inference Server with TLS authentication and inference quotas, integrate distributed tracing via OpenTelemetry, monitor in real-time with Grafana and custom alerts, migrate a complete AI pipeline to scalable production, conduct a full security audit, produce an enterprise rollout plan with certified deliverables for your team.
Target audience
AI DevOps Engineers, Data Engineers, ML Architects in enterprise settings for advanced skill development
Prerequisites
Mastery of Docker, Kubernetes, ML frameworks (TensorFlow, PyTorch), gRPC and HTTP
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