Searchable, citable, durable content on LLMs and AI agents. 147 articles, page 1 / 15.
A production guide to 2:4 structured sparsity in LLMs—using prune gates, tactic audits, and dense fallbacks to turn pruning into real GPU speedups.
Learn how to run resilient, cost-effective LLM serving on Spot GPUs using interruption notice detection, drain budgets, warm replacement, and retry contracts.
Master real-time voice agent turn-taking: optimize Semantic VAD, implement Barge-in Gates, synchronize truncation, and monitor Endpointing SLOs in production.
CUDA Graphs cut LLM inference launch overhead, but dynamic batching, shape variance, and first-capture costs create latency jitter. This guide covers shape buckets, piecewise capture, warmup strategies, memory trade-offs, and production rollback gates using vLLM and TensorRT-LLM to fix host-side bottlenecks when GPUs aren't saturated but latency won't drop.
LLM capacity testing shouldn't rely on fixed concurrency and average latency alone. This article combines vLLM, AIPerf, and MLPerf to explain Timed Traces, burst traffic, tail-latency gates, and Safe QPS — a production-grade method for finding the true capacity inflection point before launch.
Long-running agents face their biggest risk during recovery: duplicate tool calls, duplicate writes, and duplicate messages. This guide covers checkpoint boundaries, idempotent side effects, deterministic replay, and safe recovery using LangGraph, Temporal, and Microsoft Agent Framework, with practical operation_id, side-effect ledger, and state machine designs.
MoE deployments often shift bottlenecks from compute to expert skew and All-to-All communication. This guide covers Expert Parallel, EPLB, and redundant experts with vLLM, TensorRT-LLM, and DeepEP, plus phased rollout, observability metrics, and a launch checklist.
Tool upgrades in Agent systems fail not on interface errors but when models keep calling old contracts after parameter and semantic changes. This guide covers Schema fingerprints, compatibility matrices, shadow replay, canary gates, and fast rollback for MCP-based systems.
Latency in real-time voice agents isn't just about model speed—dead air comes from endpointing, pause confirmation, audio buffering, and interruption handling. This guide covers production-grade Turn Detection, Two-Pass EOU, and Barge-in using LiveKit, NVIDIA Riva, and Deepgram, with segmented latency metrics and a practical tuning order.
LLM weight quantization is more than just reduced VRAM. This guide covers calibration set selection, FP8/W4A16 dual-track benchmarking, hardware matching, quality gates, and canary rollouts using vLLM, LLM Compressor, and TensorRT-LLM.