How Dicer Is Revolutionizing Auto-Sharding for Distributed Systems Engineering teams can struggle to scale distributed systems efficiently while maintaining performance and reliability. The introduction of Dicer, Databricks’ open-source dynamic auto-sharder looks to ... auto-sharding caching cloud infrastructure Databricks distributed systems open source performance optimization service architecture
Democratizing Scalable Mixture-of-Experts Training in PyTorch with NVIDIA NeMo Automodel Training state-of-the-art Mixture-of-Experts (MoE) models has traditionally requiredspecialists with deep distributed systems knowledge and access to high-end infrastructure. Now, NVIDIA’s NeMo Automo... distributed training LLMs MoE NVIDIA open source performance optimization PyTorch
Hugging Face Introduces Dataset Streaming for Machine Learning If you’ve ever been frustrated by long waits to download massive datasets for model training, you’re not alone. Hugging Face has introduced a groundbreaking way to stream multi-terabyte datasets direc... data engineering dataset streaming huggingface machine learning parquet performance optimization Xet storage
AI-Driven Vibe Coding and Rust Are Changing Data Engineering Building high-performance, reliable data tools is more crucial than ever and Rust is at the forefront of this movement. Thanks to the surge in AI-powered development, a new approach called vibe coding... AI coding asynchronous processing data engineering parallel computing performance optimization Rust vibe coding