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GPU Fundamentals
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This NVIDIA course introduces you to two devices that a computer typically uses to process information – the CPU and the GPU. We’ll discuss their differences and look at how the GPU overcomes the limitations of the CPU. We will also talk about the value GPUs bring to modern-day enterprise computing.
Course Objectives:
By the end of this training, you should be able to:
1.Distinguish between serial and parallel processing
2.Explain what a GPU is and what it does at a high level
3.Articulate the value of GPU computing for enterprises
4.List three typical GPU-accelerated workloads and a few uses cases
5.Recommend the appropriate NVIDIA GPU for its corresponding enterprise computing workloads
Tags: Nvidia
Published: 2024-08-02
Length: 10 minutes
Start the training:
Employee link: Grow@Lenovo
Partner link: Lenovo Partner Learning
Course code: DAINVD103r2
Language: English (US)
Products Covered
DGX H100 Server (NVIDIA DGX H100)
NVIDIA GPU Hardware
NVIDIA L4 GPU
NVIDIA L40 GPU
NVIDIA L40S GPU
NVIDIA Software
Links to referenced documents in Lenovo Press:
