The landscape of Artificial Intelligence (AI) is becoming the hottest segment in the technology industry. It is undergoing rapid evolution and is becoming increasingly indispensable for businesses looking to gain a competitive foothold.
While the potential for building highly valuable solutions using GenAI techniques is limitless, all such solutions depend on a vast amount of knowledge in the form of training data.
Gathering this data and leveraging it in AI model development requires large amounts of specialized computer resources working together in clusters to process this information into a model. This model can then be deployed in applications.
Creating a high-performance connectivity fabric to allow GPU clusters to process their workloads is essential.
While many organizations will leverage cloud service providers or the new class of artificial intelligence as a service (AIaaS) offering, many organizations are seeking private AI/GenAI implementations. These implementations are needed to manage the large datasets for proprietary and specialized knowledge required to train these AI/GenAI systems, as well as the relatively high expense of running such workloads in the cloud.
Deploying an AI solution is a complex endeavor. The intricacies of developing and overseeing the sophisticated architectures that support AI algorithms and models pose challenges, especially for organizations lacking the necessary expertise and time to craft, implement, and manage a comprehensive AI solution stack.
The scalability of AI applications is crucial for handling vast datasets and accommodating increased user demands. Maintaining optimal performance poses difficulties for enterprises without the appropriate infrastructure and surrounding ecosystem.
AI workloads tend to be resource-intensive, high-performance, and depend on lossless data transmission-which contributes to elevated infrastructure and operational costs. Therefore, it becomes crucial to streamline, manage, and scale resource utilization to minimize cost while ensuring operational efficiency.
Dell Technologies has the right product portfolio to deliver an AI stack consisting of networking, compute, storage, and application elements.