Model Serving · Model asset
Vision-Language Model
Model assetModel ServingModelsVariation point (abstract)arc:VisionLanguageModel
A generative multimodal model combining a vision encoder with a language model via cross-attention, producing captions and answers about images, including reading visible text.
Responsibility. Generates natural-language descriptions and answers grounded in image content.
Also known as: Multimodal LLM, VLM, Neva
Variants
| Variant | When to choose |
|---|---|
| Balanced Vision-Language Model | Choose for cloud deployment needing a balance of accuracy and compute. |
| Edge Vision-Language Model | Choose for edge deployment on embedded GPU devices where memory and power are constrained. |
| High-Accuracy Vision-Language Model | Choose for demanding applications requiring the highest visual reasoning accuracy. |
Relationships
deployed on structural
is optimized by lifecycle
Quantitative guidance
As stated by the sources; verify before use.
- NeVA: 22B-parameter LLM with ViT encoder; 300-500 ms per image on A100 (800 ms without TensorRT) (Ch2.7).
- Batching 100 images in parallel gives 3x images/second versus sequential (Ch2.7).
Classification
- Patterns
- Cross-attention vision-language fusionVision encoder -> projection layer -> LLM decoder
- Technologies
- NVIDIA NeVA 22BGPT-4VNVIDIA Neva
Sources
- Ch2.7: T. Nguyen, "Multimodal RAG Approaches," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 2.7. ISBN: 9798244538229.
- Ch7.5: T. Nguyen, "NeMo Curator, Riva Speech AI & Multimodal Integration," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 7.5. ISBN: 9798244538229.
- Ch10.1: T. Nguyen, "Conversational UI," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 10.1. ISBN: 9798244538229.
- Ref2.07: NVIDIA Developer, "Building multimodal AI RAG with LlamaIndex, NVIDIA NIM, and Milvus | LLM app development," YouTube. Accessed: Sep. 26, 2026. [Online Video]. Available: https://www.youtube.com/watch?v=NaT5Eo97_I0