NVIDIA – Boost AI Workloads, Lower Costs and Complexity

Description

NVIDIA AI Workload Optimization: Boost AI Workloads, Lower Costs and Complexity

NVIDIA AI Workload Optimization focuses on enhancing AI workloads to improve efficiency and reduce costs.

What you’ll learn

• Optimizing AI workloads with NVIDIA tools
• Understanding GPU acceleration
• Implementing cost-effective solutions

Requirements

• Basic knowledge of AI concepts
• Familiarity with GPUs

Description: NVIDIA AI Workload Optimization

This course provides insights into how to effectively use NVIDIA tools to optimize AI workloads. You’ll explore techniques for leveraging GPU acceleration to enhance performance, reduce operational costs, and simplify complexities in deploying AI models. The course covers topics such as TensorRT optimization, distributed training with NVIDIA GPUs, and best practices for managing large-scale AI applications. With hands-on labs, participants will develop skills to implement these optimizations in real-world scenarios.

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Who this course is for

• AI engineers and developers
• Data scientists working with NVIDIA technologies
• IT professionals focusing on AI workloads

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