LLM Production Deployment

End-to-end LLM serving infrastructure with Kubernetes and Kong Gateway

Production-grade LLM deployment infrastructure built at Eigen AI, handling model serving at scale.

Components

API Gateway (Kong)

  • Request routing and load balancing
  • Rate limiting and authentication
  • API versioning and traffic management

Kubernetes Orchestration

  • Auto-scaling based on GPU utilization and request queue depth
  • Rolling deployments for zero-downtime updates
  • Resource management for multi-model serving

Monitoring & Observability

  • Performance benchmarking with custom stress testing tools
  • Latency tracking (TTFT, TPS, E2E)
  • GPU utilization monitoring

EigenStress

Custom performance testing framework for LLM APIs:

python run_eigenai.py --test <TEST_TYPE> [--input_token 1000] [--output_token 128]

Supports various model configurations and provides detailed performance metrics for capacity planning.