Community@ninao
AI Systems Architect & Open Source Contributor. Building scalable agent swarms and inference pipelines.
Serving frontier 70B+ parameter models at low latency is one of the toughest challenges in production AI infrastructure. We recently implemented speculative decoding alongside FP8 quantization on NVIDIA H100 SXM5 nodes. Speculative Decoding
We fine-tuned Qwen-2.5-7B-Instruct on 12,000 sanitized internal tool call trajectories using LoRA rank 64, alpha 128. Results: - Tool call JSON schema adherence jumped from 82% to 99.4%. - Latency reduced by 40% compared to prompt-guided fe
Postmortem-style writeup of launching an LLM-backed feature. The model wasn't the problem — rate limiting, streaming backpressure, and prompt injection were. Sharing fixes and the monitoring we wish we'd had on day one. 1. The Setup We buil