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 Duration 21 hours

Course Outline

Introduction to Scaling Ollama

  • Ollama’s architecture and key scaling considerations.
  • Identifying common bottlenecks in multi-user deployments.
  • Best practices for ensuring infrastructure readiness.

Resource Allocation and GPU Optimization

  • Strategies for efficient CPU/GPU utilization.
  • Considerations regarding memory and bandwidth.
  • Implementing container-level resource constraints.

Deployment with Containers and Kubernetes

  • Containerizing Ollama using Docker.
  • Deploying Ollama within Kubernetes clusters.
  • Managing load balancing and service discovery.

Autoscaling and Batching

  • Designing autoscaling policies specific to Ollama.
  • Applying batch inference techniques to optimize throughput.
  • Navigating the trade-offs between latency and throughput.

Latency Optimization

  • Profiling inference performance metrics.
  • Implementing caching strategies and model warm-up procedures.
  • Minimizing I/O and communication overhead.

Monitoring and Observability

  • Integrating Prometheus for collecting metrics.
  • Constructing dashboards with Grafana.
  • Establishing alerting and incident response mechanisms for Ollama infrastructure.

Cost Management and Scaling Strategies

  • Cost-aware approaches to GPU allocation.
  • Evaluating cloud versus on-premises deployment options.
  • Strategies for achieving sustainable scaling.

Summary and Next Steps

Requirements

  • Practical experience with Linux system administration.
  • A solid understanding of containerization and orchestration concepts.
  • Familiarity with the deployment of machine learning models.

Audience

  • DevOps engineers.
  • ML infrastructure teams.
  • Site reliability engineers.

Custom Corporate Training

Training solutions designed exclusively for businesses.

  • Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
  • Flexible Schedule: Dates and times adapted to your team's agenda.
  • Format: Online (live), In-company (at your offices), or Hybrid.
Investment

Price per private group, online live training, starting from 3900 € + VAT*

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