Course Outline
Overview of GPU-Accelerated Containerization
- Exploring the role of GPUs in deep learning processes
- How Docker facilitates GPU-based workloads
- Essential performance factors
Installation and Setup of the NVIDIA Container Toolkit
- Configuring drivers and ensuring CUDA compatibility
- Verifying GPU access within containers
- Setting up the runtime environment
Creating GPU-Capable Docker Images
- Utilizing CUDA base images
- Bundling AI frameworks into GPU-ready containers
- Handling dependencies for training and inference
Executing GPU-Accelerated AI Workloads
- Running training jobs leveraging GPUs
- Overseeing multi-GPU workloads
- Tracking GPU usage levels
Enhancing Performance and Resource Distribution
- Constraining and isolating GPU resources
- Refining memory usage, batch sizes, and device placement
- Performance adjustment and diagnostic methods
Containerized Inference and Model Deployment
- Constructing containers ready for inference
- Handling high-load workloads on GPUs
- Integrating model runners and APIs
Scaling GPU Workloads via Docker
- Approaches for distributed GPU training
- Scaling inference microservices
- Orchestrating multi-container AI systems
Security and Stability for GPU-Enabled Containers
- Guaranteeing secure GPU access in shared environments
- Strengthening container images
- Managing updates, version control, and compatibility
Conclusion and Subsequent Steps
Requirements
- A foundational grasp of deep learning principles
- Proficiency with Python and standard AI frameworks
- Knowledge of fundamental containerization principles
Target Audience
- Deep learning engineers
- Research and development teams
- AI model trainers
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.
Price per private group, online live training, starting from 3900 € + VAT*
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Testimonials (2)
As i said before , for a person like me (no exp. ) this was a gateway to understanding features and functions with these programs/tools & etc. .
Patrick V. Duylovski - UBB + DZI (KBC GROUP)
Course - Docker and Kubernetes
multi-tiered, structured course programme.
