NVIDIA NeMo Guardrails
7.4#4 in llm security toolsFree planFree planAPILinuxmacOSSelf-hosted
VisitNVIDIA NeMo Guardrails vs PromptGuard
PromptGuard
7.9#1 in llm security toolsFrom $19 a monthFree planWebAPIExtensionLinux
VisitWhat both publish
| Fact | NVIDIA NeMo Guardrails | PromptGuard |
|---|---|---|
| Deployment | The library can run in a self-managed Python environment, while the separate NeMo Guardrails microservice uses a container image and Kubernetes with Helm. | The product offers managed cloud, hybrid self-hosting, and air-gapped deployment; air-gapped licences validate offline with a signed key. |
| Integrations | The documentation lists integrations with NVIDIA safety models, community models, third-party APIs, Python actions, and LangChain tools. | The site lists integrations/providers including OpenAI, Anthropic, Gemini, Azure, Bedrock, Mistral, Cohere, DeepSeek, Groq, HuggingFace, Ollama, and vLLM. |
| Rating on G2 | 4.3 out of 5 from 4 reviews | 5 out of 5 from 1 review |
NVIDIA NeMo Guardrails plans
- Open-source NeMo Guardrails libraryFree
- NeMo Guardrails microservicePriced on request
PromptGuard plans
- FreeFree
- Team$19 a month
- Build$99 a month
- Pro$99 a month
- EnterprisePriced on request
- Scale—
Pick NVIDIA NeMo Guardrails if…
NeMo Guardrails suits developers and teams building LLM applications that need configurable policy enforcement and safety checks. It is relevant to projects using Python, supported frameworks, or a self-managed deployment.
Pick PromptGuard if…
PromptGuard suits teams that want to inspect LLM requests before they reach a provider, with deployment options ranging from managed cloud to air-gapped installation. It may suit teams seeking PII controls or integrations with the listed providers.