Artificial Intelligence is being adopted in various industries worldwide. The choice of systems to perform these complex tasks is critical and requires understanding how the different system components act together.
A series of benchmarks have been created that allow those who evaluate systems and architectures to determine which combination of CPUs and GPUs are the best fit for their workloads.
AI workloads require optimized systems and need to incorporate the proper hardware and tuning the software to deliver maximum performance at a given price point.
A solution that provides value to end-users consists of the choice of CPUs, GPUs, and the proper software stack. Various numbers of cores, communication latency between cores, GHz, and which generation of CPU architectures can influence benchmark performance of real-world AI applications.
To Learn more about the benchmark results from Supermicro- download here!
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