START LOCAL, SCALE TO CLUSTERS, BUILD ADVANCED AI END-TO-END
As AI models continue to advance, organizations are increasingly exploring ways to adopt state-of-the-art capabilities without compromising security, data privacy, latency, or cost. This workshop focuses on the growing role of local AI infrastructure as a practical approach to running high-performance AI workloads outside of cloud-dependent environments.
Participants can also learn about Razer AIKit, an open-source software designed to run high-workload AI models locally over a single or cluster of GPUs.
During the workshop, we will cover:
How to benefit from the latest AI models while keeping sensitive data secure
How to run AI models locally on your own machines or GPU clusters
How to deploy large AI models despite limited hardware resources
How to improve model results when outputs don’t meet expectations
What’s coming next for local AI development and infrastructure
Join us for a practical session to learn how to run, optimize, and scale AI models locally - and see how Razer AIKit fits into your AI development workflows.