Join us for our next Ray Meetup, where we'll dive into the world of accelerated execution on GPUs for training and inference. Hosted by the Ray team, this event will take place on October 29, 2024, from 5:30 PM to 7:30 PM at Anyscale's vibrant San Francisco office. This session is perfect for developers, data scientists, and AI enthusiasts eager to explore how Ray Core can supercharge your machine learning workflows. Compiled Graphs is a new feature in Ray that offers a classic Ray Core-like API with three major advantages:
Reduced system overhead for repetitive task graphs
Native support for GPU-GPU communication via NVIDIA NCCL
Optimized scheduling to avoid deadlock and best utilize compute and communication resources
In comparison to the standard Ray API, Compiled Graphs are expressed as a static computation graph.The Compiled Graphs API is designed to support a variety of use cases including faster model-parallel inference and state of the art distributed training. Benchmarking has shown up to a 20% increase in training throughput and 43% improvement in token-per-dollar efficiency compared to other frameworks.Don't miss out on the opportunity to connect with like-minded individuals and expand your expertise in the ever-evolving field of AI. We look forward to seeing you there!