GenAI and LLMs are revolutionizing how organizations tackle complex problems and uncover new opportunities and derive new business value from their data – with various applications, such as AI assistants, chatbots, and more.
However, enterprises and the cloud service providers that serve them face significant challenges in providing the necessary infrastructure and software to support these workloads. These technologies demand immense computing power, storage capacity, and network bandwidth, along with specialized hardware and software to enhance performance and efficiency.
As you may have seen, NVIDIA recently unveiled a new reference architecture for AI cloud providers, in order to provide a “proven blueprint for cloud providers to stand up and manage high-performance scalable infrastructure for AI data centers.”
VAST Data provides a unified set of storage and data services that empowers cloud service providers (CSPs) to offer a comprehensive catalog of data-centric offerings that are deeply integrated with NVIDIA technologies, and announced that the VAST Data Platform is one of the first validated solutions for NVIDIA Partner Network cloud partners, simplifying AI infrastructure-at-scale with a trusted reference architecture for service providers.
This builds on VAST’s already widespread domination with CSPs selecting VAST as the de facto AI data platform solution for large-scale, cloud infrastructure – counting industry leading AI clouds like CoreWeave, Core42 (formerly G42), Lambda, Genesis Cloud and Taiga Cloud as customers.