What are two use cases for using a graphic processing unit (GPU)?

Understanding GPU Use Cases

Server Components (26%)

Explain how expansion cards are connected and the features of the GPU

Overview of GPUs in Servers

Graphics Processing Units (GPUs) are specialized processors designed to handle complex mathematical computations, particularly those involving parallel processing.

Use Cases:

High-Performance Computing (HPC)

Artificial Intelligence (AI) and Machine Learning

Real-Time Data Processing

Modeling and Simulation

Evaluation of Options

Option A: Programmable for a particular application-specific purpose

Explanation: This describes Field-Programmable Gate Arrays (FPGAs), not GPUs. FPGAs can be programmed for specific tasks at the hardware level.

Conclusion: Not a typical GPU use case.

Option B: Improve performance by accelerating networking hardware

Explanation: Network acceleration is typically achieved using specialized network interface cards (NICs) or SmartNICs, not GPUs.

Conclusion: Not a GPU use case.

Option C: Model and analyze signal data streams in real time

Explanation: GPUs excel at processing large amounts of data in parallel, making them ideal for real-time signal processing and data stream analysis.

Conclusion: Correct Answer

Option D: Isolate tenants from host management in a cloud landlord-tenant setting

Explanation: This pertains to virtualization and security features, such as virtual machines and hypervisors, not specifically GPUs.

Conclusion: Not a GPU use case.

Option E: Accelerate HPC and AI by using financial data for analysis of risk and return

Explanation: GPUs accelerate HPC and AI workloads by handling complex computations efficiently. Analyzing financial data for risk and return is a common AI application that benefits from GPU acceleration.

Conclusion: Correct Answer

Dell Operate References

Server Components (26%)

Explain how expansion cards are connected and the features of the GPU: Understanding the role of GPUs in enhancing server capabilities for specific workloads.

Conclusion

The two correct use cases for GPUs are:

Option C: Modeling and analyzing signal data streams in real time.

Option E: Accelerating HPC and AI tasks, such as analyzing financial data for risk assessment.

These use cases leverage the GPU's ability to process large volumes of data efficiently, improving performance for compute-intensive applications.