You must add programmable rails around an agent's conversation. What fits?
Why A is the answer
NeMo Guardrails
NeMo Guardrails controls LLM application behavior.
In detail
- NeMo Guardrails controls LLM application behavior.
- Rules are programmable.
Use case
An illustrative scenario, not a real incident.
A bank adds rules around its agent's conversation with NeMo Guardrails.
See it in different ways
flowchart TD A["NeMo Agent Toolkit: build and profile"] --> B["NIM: serve the model"] A --> C["NeMo Guardrails: control behavior"] B --> D["NVIDIA GPUs"]
mindmap
root((NVIDIA tools))
NIM
Inference microservices
NeMo Guardrails
Programmable rails
NeMo Agent Toolkit
Compose and profileflowchart LR S0["Input check"] --> S1["Agent"] --> S2["Output check"]
Key point: NeMo Guardrails controls behavior.
Why the other options are wrong
- B. NVIDIA DCGM
- DCGM manages GPUs.
- C. NVIDIA Fabric Manager
- That manages NVSwitch.
- D. NVIDIA GPU Operator
- That manages Kubernetes GPU nodes.