Scaling Iceberg Writes with Confidence: A Conflict-Free Distributed Architecture for Fast, Concurrent, Consistent Append-Only Writes
22 karma · joined July 17, 2016
Given that reinforcement learning (RL) requirements heavily influenced Apache Ray's architecture, could this focus hinder optimal performance for large language model (LLM) workloads? I've shared some thoughts and would love to hear your insights.
I'm particularly interested in feedback from the Apache Ray and Anyscale communities and anyone working with LLMs and distributed computing.
I'm the author of this post, this post talks about an intuitive process to design GraphQL schemas and to autogenerate GraphQL APIs using the schema file as an input with Dgraph.
Happy to answer any questions.