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Regulated Enterprise

Production-Grade LLMOps Infrastructure

Client: Enterprise AI Platform (Ishtar AI Case Study)

The Challenge

Building production-ready LLM infrastructure requires careful hardware selection, cost optimization, and scalable deployment patterns. Traditional infrastructure approaches don't account for LLM-specific requirements like GPU partitioning, token economics, and hybrid cloud deployments.

Our Solution

We designed and implemented a comprehensive Infrastructure-as-Code (IaC) foundation using Terraform, Kubernetes orchestration for LLM workloads, and a hybrid deployment architecture. The infrastructure includes GPU partitioning for multi-tenancy, cost-optimized serving stacks, and automated scaling based on demand patterns.

Results

Achieved 60% reduction in infrastructure deployment time, optimized cost per million tokens by 40%, and improved multi-cluster reliability to 99.95% uptime.

60%
Deployment Time Reduction
40% reduction
Cost Optimization
99.95%
Uptime
15 minutes
Infrastructure Provisioning

Measurement Period: 6 months post-deployment

Methodology: Infrastructure metrics tracking and cost analysis

Time-to-Value

Total Duration: 7 weeks

  • Kickoff: Week 1
  • Architecture Review: Week 2
  • Build Complete:
  • Pilot Deployment:
  • Production Rollout: Week 7

Architecture & Scope

Components Deployed

  • Infrastructure-as-Code (Terraform)
  • Kubernetes cluster with GPU nodes
  • Model serving infrastructure (vLLM/TGI)
  • Cost monitoring and optimization system
  • Multi-cluster orchestration
  • Hybrid cloud connectivity

Integration Points

  • Cloud provider APIs (AWS/GCP/Azure)
  • Kubernetes operators
  • Monitoring systems (Prometheus/Grafana)
  • Cost management tools
Architecture Diagram

Risk & Controls Implemented

Audit Trails

Complete infrastructure change logging via IaC

Permission Models

RBAC for infrastructure access and modifications

Evaluation Harnesses

Automated infrastructure testing and validation

Compliance Controls

SOC 2-aligned infrastructure controls and auditability

Artifacts

Screenshots

Case Study Screenshot

Sample Outputs

Infrastructure architecture diagrams and cost analysis reports

Featured in

Advanced Large Language Model Operations

Springer Nature, March 2026

Chapter: Chapter 3: Infrastructure and Environment for LLMOps

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