LLM Infrastructure

7 pieces on LLM Infrastructure, including 1 step-by-step guide.

Guides

News & Analysis

Infrastructure Rewrites, Not Model Weights, Drive 2026 AI Gains
articles
Shan • 2026-09-16
inference optimizationsystems engineeringLLM infrastructureproduction AINVIDIAOpenAI

Infrastructure Rewrites, Not Model Weights, Drive 2026 AI Gains

Four independent engineering efforts show runtime routing, service rewrites, and kernel fusion outperforming model compression on production AI systems.

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news
Shan • 2026-09-02
NVIDIAOpen SourceLLM InfrastructureRustAPI Translation

NVIDIA's Switchyard Routes LLM Traffic Between OpenAI and Anthropic APIs

NVIDIA open-sources Switchyard, an Apache 2.0 Rust proxy that translates and routes LLM traffic across OpenAI and Anthropic wire formats, including streams.

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news
Shan • 2026-08-23
NeMo GuardrailsAI SafetyAgentic AILLM InfrastructureEnterprise AI

NeMo Guardrails: Three Interception Points for Production LLM Safety

A developer tutorial builds FinBot on gpt-4o-mini with deterministic regex rails, LLM self-checks, retrieval filtering, and a six-probe coverage report.

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news
Shan • 2026-08-22
NvidiaAgentic AIBenchmarksOpen WeightsLLM Infrastructure

Nvidia's AVO Harness Takes Claude Opus 5 from 30% to 100% on ARC-AGI-3

Nvidia's custom AVO harness lifted Claude Opus 5 from 30% to 100% on ARC-AGI-3 — without changing the model at all.

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DeepSeek Harness v0.1: A Plugin-First MIT-Licensed Agent Framework
news
Shan • 2026-08-17
DeepSeekAgent FrameworksOpen SourceDeveloper ToolsLLM Infrastructure

DeepSeek Harness v0.1: A Plugin-First MIT-Licensed Agent Framework

DeepSeek releases Harness v0.1 under MIT: a developer-preview agent framework where every capability — models, tools, UI — is a swappable Cordis plugin.

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news
Shan • 2026-08-09
AI AgentsNVIDIAPythonOpen SourceBenchmarksLLM Infrastructure

NOOA: NVIDIA's Object-Oriented Agent Framework Explained

NVIDIA open-sources NOOA, a Python framework that collapses prompt templates, tool schemas, and workflow graphs into one class—with 82.2% on SWE-bench Verified.

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