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Course Outline
Introduction to Mistral at Scale for Government
- Overview of Mistral Medium 3 for government
- Performance versus cost tradeoffs for government applications
- Enterprise-scale considerations for government operations
Deployment Patterns for LLMs in the Public Sector
- Serving topologies and design choices for government environments
- On-premises versus cloud deployments for government agencies
- Hybrid and multi-cloud strategies for enhanced flexibility and security in government operations
Inference Optimization Techniques for Government Use
- Batching strategies to achieve high throughput in government systems
- Quantization methods to reduce costs for government deployments
- Utilization of accelerators and GPUs to optimize performance for government applications
Scalability and Reliability in Government Systems
- Scaling Kubernetes clusters for inference in government environments
- Load balancing and traffic routing strategies for government operations
- Fault tolerance and redundancy measures to ensure reliability in government systems
Cost Engineering Frameworks for Government
- Measuring inference cost efficiency for government agencies
- Right-sizing compute and memory resources for optimal government performance
- Monitoring and alerting frameworks to support cost optimization in government operations
Security and Compliance in Government Production Environments
- Securing deployments and APIs for government use
- Data governance considerations for government compliance
- Regulatory compliance in cost engineering for government agencies
Case Studies and Best Practices for Government
- Reference architectures for Mistral at scale in government settings
- Lessons learned from enterprise deployments within the public sector
- Future trends in efficient LLM inference for government applications
Summary and Next Steps for Government
Requirements
- Robust knowledge of deploying machine learning models for government applications
- Experience with cloud infrastructure and distributed systems for government use
- Familiarity with performance tuning and cost optimization strategies for government projects
Audience
- Infrastructure Engineers
- Cloud Architects
- MLOps Leads
14 Hours
