Abstract: Distributed deep learning (DL) training constitutes a significant portion of workloads in modern data centers that are equipped with high computational capacities, such as GPU servers.

Abstract: Modern processors rely on the last-level cache to bridge the growing latency gap between the CPU core and main memory. However, the memory access patterns of contemporary applications ...

Traditional RAG systems treat these as 3 separate queries, making 3 LLM calls and charging you 3 times.

Supports a cache rule with a prefix (works around an upstream bug) Supports EntraID authentication (automatic through machine identity, or manually configured), so you can use the much cheaper ACR ...