Exam NCA-GENL Topic 8 Question 76 Discussion

Actual exam question for NVIDIA's NCA-GENL exam
Question #: 76
Topic #: 8
Which model deployment framework is used to deploy an NLP project, especially for high-performance inference in production environments?

Suggested Answer: D Vote an answer

NVIDIA Triton Inference Server is a high-performance framework designed for deploying machine learning models, including NLP models, in production environments. It supports optimized inference on GPUs, dynamic batching, and integration with frameworks like PyTorch and TensorFlow. According to NVIDIA's Triton documentation, it is ideal for deploying LLMs for real-time applications with low latency. Option A (DeepStream) is for video analytics, not NLP. Option B (HuggingFace) is a library for model development, not deployment. Option C (NeMo) is for training and fine-tuning, not production deployment.
References:
NVIDIA Triton Inference Server Documentation: https://docs.nvidia.com/deeplearning/triton-inference-server
/user-guide/docs/index.html

by Magee at May 09, 2026, 03:39 AM

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