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Scaling Workloads Across Multiple GPUs With CUDA C++

Scaling Workloads Across Multiple GPUs With CUDA C++

NVIDIA NIC-NVI-SWAM

USD 30.00
excl. VAT
Please note: The price will be deducted in your cart when a course seat is purchased.

Learn how to build robust and efficient CUDA C++ applications that can take advantage of all available GPUs on a single node.

Course Prerequisites

Competency writing applications in CUDA C/C++.

Additional information

The minimum order quantity for NVIDIA self-paced courses is 10.
When adding a course to the shopping cart, a quantity of 10 is automatically added. It may also take 2-3 working days for your course access to be activated. You will receive an email from us with all the necessary information.
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Industry Partners

NVIDIA
Institution
NVIDIA
The institution that is responsible for the courseware (and lab environment, if included) of this learning product.
E-learning Format
Self-paced (SP)
Language
English
Subscription duration
180 days
The time you will have access to the learning product once it has been activated.
Grace Period
30 days
Grace Period is the time between booking and automatic activation. After completing your order, you usually have 30 days until a product is automatically activated and the official subscription period begins.
Total effort
4 hours
The estimated total effort it will take you to complete the learning product.