7 posts tagged distributed systems from Omnissiah Systems.
AdamW optimizer states silently consume 2-3x your model's weight memory. Here's where that memory goes and how to reclaim it.
What actually happens when a live request hits your model's context limit, and how to detect, handle, and prevent silent truncation in production inference.
How request routing silently degrades across multi-instance inference deployments, the failure modes to recognize, and how to diagnose and correct them.
Speculative decoding promises faster token generation, but production deployments expose failure modes that synthetic benchmarks quietly hide. Here's what to watch.
How dynamic batching misconfigures itself over time, why throughput numbers lie on aging inference servers, and how to catch batch size drift before it costs you.
A practical guide to KV cache eviction policies in distributed LLM inference: what triggers eviction, how it degrades latency, and how to tune against it.