Results for “ai-infrastructure”

Operates AI infrastructure as a production dependency: manages GPU utilization, MCP servers, LLM gateways, inference pipelines, token costs, semantic caching, and model observability.

Navigate Oracle Cloud Infrastructure's Enterprise AI services: choose models, build agents with RAG and tools, estimate costs, secure access, and integrate with Oracle Database, APEX, and other platform services.

Import existing Azure resources into Terraform using Azure CLI discovery and Azure Verified Modules (AVM).

Architect and provision enterprise Azure infrastructure from workload descriptions, generating Bicep or Terraform for networking, identity, security, and multi-resource topologies aligned with the Well-Architected Framework.

Generates modular Terraform infrastructure-as-code for AWS, GCP, or Azure, including VPC, compute, database, cache, CDN, and monitoring with per-environment sizing, remote state, and cost estimates.

Provides guidance and patterns for AWS development, infrastructure automation, and cloud architecture.

Assess cloud infrastructure for security misconfigurations, IAM privilege escalation paths, S3 public exposure, open security group rules, and IaC security gaps across AWS, Azure, and GCP with MITRE ATT&CK mapping.

Fine-tune open models or Gemini models using Agent Platform infrastructure, from environment setup through data preparation, job configuration, monitoring, and deployment.