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Course Outline
Introduction to GPU-Accelerated Containerization
- Understanding GPU usage in deep learning workflows
- How Docker supports GPU-based workloads
- Key performance considerations
Installing and Configuring NVIDIA Container Toolkit
- Setting up drivers and CUDA compatibility
- Validating GPU access inside containers
- Configuring the runtime environment
Building GPU-Enabled Docker Images
- Using CUDA base images
- Packaging AI frameworks in GPU-ready containers
- Managing dependencies for training and inference
Running GPU-Accelerated AI Workloads
- Executing training jobs using GPUs
- Managing multi-GPU workloads
- Monitoring GPU utilization
Optimizing Performance and Resource Allocation
- Limiting and isolating GPU resources
- Optimizing memory, batch sizes, and device placement
- Performance tuning and diagnostics
Containerized Inference and Model Serving
- Building inference-ready containers
- Serving high-load workloads on GPUs
- Integrating model runners and APIs
Scaling GPU Workloads with Docker
- Strategies for distributed GPU training
- Scaling inference microservices
- Coordinating multi-container AI systems
Security and Reliability for GPU-Enabled Containers
- Ensuring safe GPU access in shared environments
- Hardening container images
- Managing updates, versions, and compatibility
Summary and Next Steps
Requirements
- An understanding of deep learning fundamentals
- Experience with Python and common AI frameworks
- Familiarity with basic containerization concepts
Audience
- Deep learning engineers
- Research and development teams
- AI model trainers
21 Hours
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 4800 € + VAT*
Contact us for an exact quote and to hear our latest promotions
Testimonials (5)
OC is new to us and we learnt alot and the labs were excellent
sharkey dollie
Course - OpenShift 4 for Administrators
Very informative and to the point. Hands on pratice
Gil Matias - FINEOS
Course - Introduction to Docker
Labs and technical discussions.
Dinesh Panchal - AXA XL
Course - Advanced Docker
That Brian has good knowledge of the topic and explains it well
Francisco Demetrio Quitral - IMED S.A
Course - Rancher: administra tus contenedores Docker
Machine Translated
It gave a good grounding for Docker and Kubernetes.
