Official Technical Resources: NVIDIA (page 11)
Official Technical Resources · NVIDIA: 264 entries in total; this page lists entries 151–165.
NeMo Guardrails Microservice for Production
Deploy guardrails as a production-ready microservice using the NeMo microservices platform.
Evidence use: For understanding GPU computing, training, retrieval, inference serving, reliability or deployment decisions.
Limitations: Directly evidences only the implementation and claims of NVIDIA's technology stack. Recheck versioned interfaces and experimental capabilities before use.
Related concepts: AI Guardrails · LLM Observability and Tracing · Model Evaluation and Benchmarks
Link last checked: 2026-09-25
Logging and Debugging Guardrails Generated Responses
Debug guardrails with verbose mode, explain method, and generation log options.
Evidence use: For understanding GPU computing, training, retrieval, inference serving, reliability or deployment decisions.
Limitations: Directly evidences only the implementation and claims of NVIDIA's technology stack. Recheck versioned interfaces and experimental capabilities before use.
Related concepts: AI Guardrails · LLM Observability and Tracing · Model Evaluation and Benchmarks
Link last checked: 2026-09-25
Metrics for Guardrails
Emit OpenTelemetry metrics from the opt-in IORails engine for SLO dashboards, capacity planning, and LLM cost tracking.
Evidence use: For understanding GPU computing, training, retrieval, inference serving, reliability or deployment decisions.
Limitations: Directly evidences only the implementation and claims of NVIDIA's technology stack. Recheck versioned interfaces and experimental capabilities before use.
Related concepts: AI Guardrails · LLM Observability and Tracing · Model Evaluation and Benchmarks
Link last checked: 2026-09-25
OpenTelemetry Metrics Integration
Configure the OpenTelemetry SDK with OTLP and Prometheus exporters for production metrics backends.
Evidence use: For understanding GPU computing, training, retrieval, inference serving, reliability or deployment decisions.
Limitations: Directly evidences only the implementation and claims of NVIDIA's technology stack. Recheck versioned interfaces and experimental capabilities before use.
Related concepts: AI Guardrails · LLM Observability and Tracing · Model Evaluation and Benchmarks
Link last checked: 2026-09-25
Tracing Guardrails
Enable distributed tracing with OpenTelemetry to monitor guardrails execution and LLM calls.
Evidence use: For understanding GPU computing, training, retrieval, inference serving, reliability or deployment decisions.
Limitations: Directly evidences only the implementation and claims of NVIDIA's technology stack. Recheck versioned interfaces and experimental capabilities before use.
Related concepts: AI Guardrails · LLM Observability and Tracing · Model Evaluation and Benchmarks
Link last checked: 2026-09-25
OpenTelemetry Integration
Configure OpenTelemetry SDK with OTLP exporters for production monitoring backends.
Evidence use: For understanding GPU computing, training, retrieval, inference serving, reliability or deployment decisions.
Limitations: Directly evidences only the implementation and claims of NVIDIA's technology stack. Recheck versioned interfaces and experimental capabilities before use.
Related concepts: AI Guardrails · LLM Observability and Tracing · Model Evaluation and Benchmarks
Link last checked: 2026-09-25
Exporting Guardrails Logs to OpenTelemetry
Forward Python logs from the NeMo Guardrails library into your OpenTelemetry backend with automatic trace correlation.
Evidence use: For understanding GPU computing, training, retrieval, inference serving, reliability or deployment decisions.
Limitations: Directly evidences only the implementation and claims of NVIDIA's technology stack. Recheck versioned interfaces and experimental capabilities before use.
Related concepts: AI Guardrails · LLM Observability and Tracing · Model Evaluation and Benchmarks
Link last checked: 2026-09-25
Span Reference
Reference the LLMRails, IORails, and canonical outbound HTTP spans and attributes emitted when tracing is enabled.
Evidence use: For understanding GPU computing, training, retrieval, inference serving, reliability or deployment decisions.
Limitations: Directly evidences only the implementation and claims of NVIDIA's technology stack. Recheck versioned interfaces and experimental capabilities before use.
Related concepts: AI Guardrails · LLM Observability and Tracing · Model Evaluation and Benchmarks
Link last checked: 2026-09-25
Security Guidelines for LLM Integrations
Follow security best practices when integrating LLMs with external resources and APIs.
Evidence use: For understanding GPU computing, training, retrieval, inference serving, reliability or deployment decisions.
Limitations: Directly evidences only the implementation and claims of NVIDIA's technology stack. Recheck versioned interfaces and experimental capabilities before use.
Related concepts: AI Guardrails · LLM Observability and Tracing · Model Evaluation and Benchmarks
Link last checked: 2026-09-25
Research on Guardrails
This document summarizes the most important public research on existing guardrails techniques.
Evidence use: For understanding GPU computing, training, retrieval, inference serving, reliability or deployment decisions.
Limitations: Directly evidences only the implementation and claims of NVIDIA's technology stack. Recheck versioned interfaces and experimental capabilities before use.
Related concepts: AI Guardrails · LLM Observability and Tracing · Model Evaluation and Benchmarks
Link last checked: 2026-09-25
AI Runtime Security FAQ
Answers to common security architecture, enforcement, deployment, observability, and evaluation questions about the NVIDIA NeMo Guardrails library.
Evidence use: For understanding GPU computing, training, retrieval, inference serving, reliability or deployment decisions.
Limitations: Directly evidences only the implementation and claims of NVIDIA's technology stack. Recheck versioned interfaces and experimental capabilities before use.
Related concepts: AI Guardrails · LLM Observability and Tracing · Model Evaluation and Benchmarks
Link last checked: 2026-09-25
Use the Actions Server
Run guardrail actions in a secure, isolated environment.
Evidence use: For understanding GPU computing, training, retrieval, inference serving, reliability or deployment decisions.
Limitations: Directly evidences only the implementation and claims of NVIDIA's technology stack. Recheck versioned interfaces and experimental capabilities before use.
Related concepts: AI Guardrails · LLM Observability and Tracing · Model Evaluation and Benchmarks
Link last checked: 2026-09-25
Overview of the NVIDIA NeMo Guardrails Library API Server
The NVIDIA NeMo Guardrails library API server runs guardrails in a secure, isolated environment.
Evidence use: For understanding GPU computing, training, retrieval, inference serving, reliability or deployment decisions.
Limitations: Directly evidences only the implementation and claims of NVIDIA's technology stack. Recheck versioned interfaces and experimental capabilities before use.
Related concepts: AI Guardrails · LLM Observability and Tracing · Model Evaluation and Benchmarks
Link last checked: 2026-09-25
Checking Messages Against Rails
Validate messages against input and output rails using check_async and check methods on the LLMRails and IORails engines.
Evidence use: For understanding GPU computing, training, retrieval, inference serving, reliability or deployment decisions.
Limitations: Directly evidences only the implementation and claims of NVIDIA's technology stack. Recheck versioned interfaces and experimental capabilities before use.
Related concepts: AI Guardrails · LLM Observability and Tracing · Model Evaluation and Benchmarks
Link last checked: 2026-09-25
Core Classes Reference
RailsConfig and LLMRails class reference for loading and running guardrails.
Evidence use: For understanding GPU computing, training, retrieval, inference serving, reliability or deployment decisions.
Limitations: Directly evidences only the implementation and claims of NVIDIA's technology stack. Recheck versioned interfaces and experimental capabilities before use.
Related concepts: AI Guardrails · LLM Observability and Tracing · Model Evaluation and Benchmarks
Link last checked: 2026-09-25