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Course Outline
Introduction to Scaling Ollama for Government
- Ollama’s architecture and key considerations for scaling in government environments
- Common bottlenecks encountered in multi-user deployments within the public sector
- Best practices for ensuring infrastructure readiness for government operations
Resource Allocation and GPU Optimization for Government
- Strategies for efficient CPU/GPU utilization tailored to government needs
- Memory and bandwidth considerations in public sector deployments
- Implementing container-level resource constraints for enhanced performance and security
Deployment with Containers and Kubernetes for Government
- Containerizing Ollama using Docker for government applications
- Running Ollama in Kubernetes clusters to support scalable and secure operations
- Implementing load balancing and service discovery for reliable public sector services
Autoscaling and Batching for Government
- Designing autoscaling policies to optimize resource usage in government systems
- Batch inference techniques to enhance throughput for government applications
- Evaluating latency versus throughput trade-offs in public sector environments
Latency Optimization for Government
- Profiling inference performance to identify and address bottlenecks in government systems
- Caching strategies and model warm-up techniques for improved efficiency
- Reducing I/O and communication overhead to enhance performance in public sector deployments
Monitoring and Observability for Government
- Integrating Prometheus for comprehensive metrics collection in government infrastructure
- Building custom dashboards with Grafana to monitor Ollama’s performance in the public sector
- Implementing alerting and incident response mechanisms for robust Ollama infrastructure management
Cost Management and Scaling Strategies for Government
- Strategies for cost-aware GPU allocation in government IT environments
- Evaluating cloud versus on-premises deployment options for optimal resource utilization
- Developing sustainable scaling strategies to support long-term public sector operations
Summary and Next Steps for Government
Requirements
- Experience with Linux system administration for government environments
- Understanding of containerization and orchestration technologies
- Familiarity with the deployment of machine learning models
Audience
- DevOps engineers in public sector organizations
- Machine learning infrastructure teams for government agencies
- Site reliability engineers supporting federal systems
21 Hours