Cloud-first isn’t enough anymore. Unlock cost-effective AI in a hybrid- and multi-cloud world.
Enterprise companies have been moving to the cloud and are now pushing to use generative AI. However, the cloud costs get out of hand quickly, and fine-tuning Large Language Models (LLMs) is expensive and is very resource intensive to train, test, deploy, and run these models in the cloud.
Join us live as Cloudera, Domino Data Lab, and NVIDIA deep dive into strategies and best practices to build a hybrid data architecture that maximizes the value of your AI initiatives.
The panel will discuss how you can:
Run your AI and LLM in the most cost-effective manner
Unlock the power of cloud-native architecture with vendor-agnostic solutions
Stay ahead of the evolving hybrid and multi-cloud computing landscape
Carefully assess your specific needs and requirements before choosing the right architecture