airhacks.fm podcast with adam bien cover image

Accelerating LLMs with TornadoVM: From GPU Kernels to Model Inference

airhacks.fm podcast with adam bien

00:00

Optimizing GPU Data Sharing and Quantization Techniques

This chapter explores the intricacies of data sharing among GPU kernels and the development of an API within Tornado for efficient GPU buffer management. It discusses advancements in transformer architectures, specifically focusing on model inference with Llama 3, including quantization strategies and their implications for Java. The chapter emphasizes the need for standardized Java APIs to enhance developer experience and facilitate seamless transitions across different programming languages.

Transcript
Play full episode

The AI-powered Podcast Player

Save insights by tapping your headphones, chat with episodes, discover the best highlights - and more!
App store bannerPlay store banner
Get the app