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:   

1. ​How to benefit from the latest AI models while keeping sensitive data secure 

2. ​How to run AI models locally on your own machines or GPU clusters 

3. ​How to deploy large AI models despite limited hardware resources 

4. ​How to improve model results when outputs don’t meet expectations 

5. ​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.