Articles

Searchable, citable, durable content on LLMs and AI agents. 147 articles, page 6 / 15.

• LLM GPU Memory Fragmentation in Production: Taming OOMs with Memory Snapshots, Allocator Tuning, and Admission Control

  LLM inference services often hit OOM due to fragmentation, not total capacity exhaustion. This guide covers Memory Snapshots, dynamic shapes, allocator tuning, and vLLM memory budgeting for observable, verifiable, and rollback-safe production management.

  07/11/2026 LLM Serving / CUDA / GPU Memory / PyTorch / vLLM

• LLM CUDA Graph Production Practices: Reducing Decode Launch Overhead with Shape Buckets, Piecewise Capture, and Eager Fallback

  CPU kernel launch overhead in LLM decode is often overlooked. This deep dive explains CUDA Graph capture and replay, combined with shape bucket design, piecewise capture, warmup state machines, and eager fallback, delivering a production-ready solution to reduce tail latency and P99 jitter.

  07/11/2026 LLM Inference / CUDA Graph / GPU Inference / vLLM / Performance Optimization

• LLM API Credential Governance in Production: Reducing Static Key Exposure with Workload Identity, Short-Lived Tokens, and Least Privilege

  A practical guide to building a static-key-free credential system for production LLM calls, covering workload identity, short-lived tokens, least privilege, tenant isolation, rotation, audit alerts, and emergency revocation to reduce key leaks, permission sprawl, and anomalous billing.

  07/11/2026 LLM Security / Workload Identity / API Credential / IAM / Cloud Architecture / Credential Governance / Short-Lived Tokens / Least Privilege

• LLM Serverless GPU Cold Start in Production: Balancing Cost and TTFT with Weight Prefetching, Warm Pools, and Scale-to-Zero

  A practical guide to tackling LLM Serverless GPU cold starts. Learn how to use weight prefetching, image warming, warm pools, scale-to-zero, TTFT monitoring, and deployment gates to achieve a controlled, fine-grained balance between GPU costs and first-token latency.

  07/10/2026 LLM Serving / Serverless GPU / Cold Start / TTFT / Cost Optimization

• LLM Video Input Pipeline in Production: Frame Sampling, Timestamp Alignment, and Media Token Budgeting for Multimodal Cost Control

  Video understanding is more than just passing extra images. This article systematically explains how to build a production-grade LLM video input pipeline, covering file admission, decoding probe, frame sampling, timestamp alignment, media token budgeting, caching, quality evaluation, and common pitfalls.

  07/10/2026 Multimodal LLM / Video Understanding / Media Token / LLM Engineering / Cost Optimization / Frame Sampling / Timestamp Alignment

• LLM Output Length Governance in Production: Using Finish Reason, Token Budget, and Continuation Strategies to Prevent Truncated Answers

  A practical guide to preventing truncated LLM responses in production. Learn how to use Finish Reason, Token Budget, output tiering, continuation ledger, and deployment gates to ensure output completeness and reduce user-facing incomplete answers.

  07/10/2026 LLM API / Token Budget / Finish Reason / Reliability / Production Engineering

• LLM Streaming in Production: Stabilizing Real-Time Responses with SSE Event Boundaries, Backpressure, and Reconnection

  This article tackles production failures in LLM streaming, diving deep into SSE event boundaries, backpressure control, reconnection strategies, proxy timeouts, and frontend rendering optimizations to help engineering teams build reliable, observable streaming response pipelines for stable real-time interactions.

  07/10/2026 LLM Serving / Streaming / SSE / Backpressure / Reliability / Gateway / Engineering

• LLM Tool Contract Testing in Production: Reducing Agent Upgrade Risks with Schema Compatibility, Golden Conversations, and Sandbox Replay

  A practical guide to building a production-grade LLM Tool Contract Testing pipeline covering selection, parameter, execution, return, and behavior contracts. Learn how to use schema diff matrices, golden conversation replay, sandbox execution, and release gates to prevent agent regressions during tool upgrades.

  07/09/2026 LLM Agent / Tool Calling / Contract Testing / Function Calling / Agent Engineering / LLM Testing

• LLM Privacy Redaction Gateway in Production: Reducing Data Leakage with PII Detection, Reversible Substitution, and Log Minimization

  A systematic guide for enterprise LLM applications on building a privacy redaction gateway that identifies PII, performs reversible substitution, and enforces data minimization across request, response, and log pipelines to fundamentally reduce sensitive data exposure risks.

  07/09/2026 LLM Security / PII Redaction / Privacy Gateway / Data Minimization / Reversible Substitution / Log Minimization

• LLM LoRA Adapter Cache in Production: Stabilizing Multi-Tenant Fine-Tuning Services with Heat Tiering, Cold-Start Budgets, and Eviction Policies

  Production strategies for LoRA adapter cache management in multi-tenant fine-tuning services: heat tiering, cold-start budgets, eviction policies, and a governance framework for stable model serving.

  07/09/2026 LLM Serving / LoRA / Adapter Cache / Multi Tenant / Model Serving / GPU / Fine Tuning / RAG / vLLM