Potential Push For Transitioning Legacy CPU Based Workloads to Run on GPUs: 4-5x Increase In Cost Efficiency

As the digital landscape evolves, our clients are increasingly becoming aware of the significant demands placed on GPUs and the capabilities of servers like those from Super Micro Computer (SMCI), distinguishing between the genuine benefits and the surrounding hype. Our clients are asking, “What % of current CPU workload can run on GPU instead?“ “What will be the efficiency and cost impact?”

This article delves into the critical aspects of transitioning workloads from CPUs to GPUs, highlighting which categories of CPU tasks stand to gain the most from a shift to GPU-based processing. Our exploration aims to clarify the potential that lies ahead for further growth in this area. In this article , we will go through:

1. Three Key Factors of Comparison in CPU to GPU Transition

   1. Four types of Costs

   2. Three Efficiency Metrics

   3. Scalability

2. Workload Categories Primed for CPU to GPU Transition & Future Outlook

3. Investment Suggestions

We predict,