Home > AI Solutions > Gen AI > White Papers > Maximizing AI Performance: A Deep Dive into Scalable Inferencing on Dell with NVIDIA > Business challenges or use cases
When considering a Generative AI (GenAI) solution, it is imperative to determine how well the solution will perform and scale from a single node to a more significant number of nodes. Benchmarks provide valuable information for evaluating potential solution performance and can help users select a GenAI solution based on their needs. Here, we will focus on one specific tool developed to measure system performance concerning GenAI workloads developed by NVIDIA called GenAI-Perf. GenAI-Perf is used to measure the performance of Llama 3 on Dell PowerEdge with NVIDIA GPUs.
The Dell AI Factory with NVIDIA enables organizations to transform innovation into value It isdesigned with industry-leading capabilities that simplify development and accelerate AI adoption. Companies can turbocharge AI adoption and securely transform their data into actionable insights for the fastest time-to-value with leading innovation, solutions, and scalable AI workflow automation deployed across their organization.
Understanding how to run models at scale and measure their performance efficiently involves gathering metrics around performance to ensure the solution meets the demands of enterprise environments. To this end, we have developed five different use cases to measure performance under different scenarios.