The NVIDIA Generative AI Multimodal certification validates the technical proficiency of AI engineers, data scientists, and solutions architects in deploying advanced multimodal models. Candidates must demonstrate deep expertise in leveraging NVIDIA NeMo, TensorRT-LLM, and Triton Inference Server for end-to-end pipeline orchestration. Mastery requires architectural knowledge of vision-language models, including CLIP and LLaVA, alongside proficiency in utilizing NVIDIA CUDA, NCCL, and Megatron-LM for distributed training across H100 GPU clusters. Evaluation focuses on optimizing inference latency, implementing RAG architectures with vector databases like Milvus or Pinecone, and applying quantization techniques to maintain high-fidelity generation across diverse text, image, and video modalities.