NVIDIA and Fiddler: Accurate and Safe LLM Applications

Harness the combined power of Fiddler Guardrails, NeMo Guardrails, and NVIDIA NIM to deploy, monitor and safeguard LLM applications.
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Secure LLM Applications with NVIDIA and Fiddler

NVIDIA NeMoTM Guardrails is a scalable LLM guardrail orchestration platform that enables organizations to implement and orchestrate multiple AI guardrails, ensuring the safety, security, accuracy, and topical relevance of their LLM interactions across popular generative AI frameworks. 

Fiddler offers an out-of-the-box integration with NeMo Guardrails, enabling enterprises to leverage the industry’s fastest guardrails to safeguard LLM applications against hallucinations, toxicity, and jailbreak attempts — all within their secure NeMo Guardrails environment.

Fiddler Guardrails is powered by the Fiddler Trust Service, which is comprised of purpose-built, fine-tuned Fiddler Trust Models designed for high accuracy scoring of LLM prompts and responses with low latency.

Thumbnail image for product video titled 'Securing LLM Applications: NeMo Guardrails + Fiddler Guardrails Integration'
Experience Fiddler Guardrails within NVIDIA NeMo Guardrails. 
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Fiddler Guardrails is native in NVIDIA NeMo Guardrails, enabling enterprises to moderate for hallucination, toxicity, and jailbreak attempts in NeMo Guardrails.
Fiddler Guardrails moderates LLM applications against hallucination, toxicity, and jailbreak attempts within NeMo Guardrails.
Visualize rails executed by NVIDIA NeMo Guardrails in the Fiddler AI Observability Platform with graph displaying PII and Toxicity Rail activation occurrences over time with traffic data. Two lines represent PII and Toxicity activations, highlighting spikes and trends.

Analyze  Data from NeMo Guardrails in Fiddler

Fiddler enables enterprises to bring all prompts, responses, metadata, and executed rails from NeMo Guardrails into the Fiddler AI Observability and Security platform — regardless of the guardrail type or provider. Data is then visualized in the Fiddler platform using customized dashboards and reports, providing AI teams with a unified view of their LLM applications.

  • Gain contextual insights into rails execution
  • Define rich alerts for rail activities
  • Detect hallucination, safety violations, prompt injection attacks, and operational issues
  • Perform root cause analysis on LLM performance issues for quick resolution

Monitor NVIDIA NIM Inference-Level Logs with Fiddler

NVIDIA NIM accelerates the deployment of AI foundation models by offering portable, quick inference capabilities with minimal setup. By packaging AI models into containers, the NIM microservice simplifies integration into existing Generative AI infrastructure with minimal code changes.

When integrated with the Fiddler AI Observability and Security Platform, NVIDIA NIM ensures that LLM deployments scale efficiently while remaining secure. Prompts processed by NIM are logged and automatically routed to Fiddler’s platform, enabling real-time guardrailing and monitoring, actionable insights, and enhanced operational oversight.

NVIDIA NIM dashboard featuring charts such as Total Cost Tracker, Cyber Risk Profile, Prompt UMAP, and Jailbreak Tracker.

Frequently Asked Questions

How do I purchase Fiddler on AWS?

Fiddler is a featured partner with a native integration to SageMaker AI. You can leverage AWS credits and procurement via the Amazon SageMaker AI, enterprises can purchase the Fiddler AI Observability platform without lengthy approval processes. 

Purchasing through the Amazon SageMaker AI provides a native Fiddler and SageMaker AI integration, ensuring a seamless experience within the AWS ecosystem. It eliminates extra security hurdles and InfoSec reviews, speeding up production ML deployment at scale.

What Fiddler capabilities do I get when purchasing Fiddler through Amazon SageMaker AI?

Fiddler can support ML models (computer vision, NLP, and complex multimodal deep learning models), including alerts, customizable metrics, dashboards and reports (e.g. time series and analytics charts, feature impact insights) and root cause analysis capabilities.

You can contact us if you need a custom solution for specific use cases or LLM monitoring capabilities.