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Duration 21 hours
Course Outline
Foundations of GPU-Accelerated Containerization
- The role of GPUs in deep learning workflows
- The mechanism by which Docker facilitates GPU-based tasks
- Essential performance factors to consider
Installation and Setup of the NVIDIA Container Toolkit
- Configuring drivers and ensuring CUDA compatibility
- Verifying GPU accessibility within containers
- Preparing the runtime environment
Creating GPU-Ready Docker Images
- Leveraging CUDA base images
- Encapsulating AI frameworks into GPU-prepared containers
- Handling dependencies for training and inference phases
Executing GPU-Accelerated AI Tasks
- Running training jobs leveraging GPU power
- Overseeing workloads that utilize multiple GPUs
- Tracking GPU usage metrics
Enhancing Performance and Resource Distribution
- Controlling and separating GPU resources
- Refining memory usage, batch sizes, and device placement
- Adjusting performance and diagnosing issues
Containerized Inference and Model Deployment
- Developing containers ready for inference
- Handling high-volume workloads on GPUs
- Connecting model runners and API interfaces
Expanding GPU Workloads Using Docker
- Approaches for distributed GPU training
- Scaling inference microservices
- Synchronizing multi-container AI systems
Security and Stability for GPU-Enabled Containers
- Guaranteeing secure GPU access in shared environments
- Strengthening the security of container images
- Managing updates, version control, and compatibility
Wrap-up and Future Directions
Requirements
- A solid grasp of deep learning core principles
- Proficiency with Python and prevalent AI frameworks
- Knowledge of fundamental containerization principles
Target Audience
- Deep learning engineers
- Research and development teams
- AI model trainers
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.
