Production Operations

MLOps & AI Cloud Infrastructure

Scale model training and inference with zero-downtime CI/CD pipelines, GPU resource optimization, model registries, and real-time observability.

What is MLOps & AI Infrastructure? MLOps (Machine Learning Operations) is the engineering discipline that bridges model development and reliable production operations. AVENIX builds automated pipelines for continuous model integration, training triggers, model registries, and GPU cluster auto-scaling that keep AI applications fast, available, and cost-efficient.

Core Capabilities

⚡ GPU Cluster & Inference Optimization

vLLM, TensorRT, and dynamic batching reducing GPU cloud spend by up to 50%.

🔄 Automated CI/CD for AI

Continuous training, validation testing, and zero-downtime blue/green model rollouts.

📈 Model Drift & Observability

Real-time telemetry tracking latency, throughput, token usage, and accuracy drift.

🗄️ Enterprise Model Registry

Version-controlled model artifacts, metadata lineages, and cryptographic checkpoint signing.

Technology Ecosystem

KubernetesKServeTriton Inference ServerMLflowvLLMPrometheusGrafanaTerraform

Key Industry Verticals

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