The use of AI to ensure improved operations and future success is expanding rapidly. As your customers embrace this evolving technology, they’ll need to make some critical decisions. One of those is whether to run their AI models on-premises or in the cloud.
A new Enterprise Strategy Group (ESG) report[1] offers some insight to help them make that decision. The study finds that leveraging Dell Technology’s on-premises solutions can be 38% to 88% more cost-effective over three years for inferencing large language models (LLMs) compared to the public cloud or token-based APIs.
Choosing the right LLM inferencing platform
When you’re called upon to help your customers find the right LLM inferencing platform for their needs, it may be wise to begin by discussing some important requirements and capabilities, including:
• The cost and benefits of implementing and using various types of technology, including on-prem and cloud-based solutions.
• The performance and scalability of the solution. Can the processor, GPUs, memory and storage handle their expected workloads?
• Each solution’s management simplicity. Are your customer’s in-house resources able to meet administration, support, maintenance, and power/cooling requirements?
• The data governance requirements of the source data used to train and maintain the AI model.
Dell Technologies for LLM inferencing
For organizations ready to take advantage of customized LLMs, ESG recommends deploying Dell Technologies infrastructure for high-performance LLM inferencing. This method is up to 2x more cost-effective than IaaS when inferencing smaller LLM models using RAG (7B parameters). It’s also up to 4x more cost-effective than IaaS for inferencing larger LLM models using RAG (70B parameters).
By helping your customers deploy Dell on-prem infrastructure, you can ensure a successful outcome, accelerate their GenAI initiatives, and reduce the time to achieve expected savings. You can also resell Dell Professional Services for GenAI to help your customers advance cybersecurity maturity and prepare enterprise data for LLM integration.
You can find Enterprise Strategy Group’s report, Understanding the Total Cost of Inferencing Large Language, by logging into the Dell Partner Portal. To learn more about Dell Technologies AI solutions, visit Dell.com/artificial-intelligence today.
[1] Understanding The TotalCost Of Inferencing Large Language Models; Enterprise Strategy Group; April 2024
