AI & LLM
MLOps & AI Infrastructure
Model serving, monitoring, CI/CD, Kubernetes and scalable inference, turning models into dependable services with known latency, cost and failure behavior.
We delivered
A production serving stack with a load-test report, Kubernetes manifests and Helm charts under version control, monitoring dashboards and alerting rules, and a deployment pipeline with staged rollout and rollback.
LLM serving with vLLM/TGI covering batching, quantization and KV-cache tuning. Kubernetes GPU scheduling, autoscaling and cost controls. Model registries, versioned deployments and rollback. Inference observability for latency, throughput and quality drift.
Used for self-hosting open-weight LLMs with predictable latency and cost, scaling an inference API to production traffic, and standardizing model deployment across data science teams.
Built with Kubernetes, vLLM, MLflow, Prometheus/Grafana, Terraform and the NVIDIA GPU Operator.
Or call us now+92 300 723 9389