Quick Start
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Code Examples
About NVIDIA NIM
NIM packages inference runtimes and model profiles into containers that expose standard API surfaces such as chat completions, completions, model listing, tokenization, health, and management endpoints. The hosted API path is useful for prototyping and catalog discovery, while the NGC/container path is the self-hosted route for teams that want GPU-hour infrastructure control, private-network deployment, Kubernetes scaling, or NVIDIA AI Enterprise support. Per-token pricing is not a universal provider-level claim in the current seed data; pricing should stay attached to sourced model-provider rows or NVIDIA's current catalog terms.
NVIDIA NIM is NVIDIA's deployment platform for GPU-accelerated inference microservices. Developers can try hosted NIM APIs through the NVIDIA API Catalog on build.nvidia.com, then move the same model families into self-hosted NIM containers on NVIDIA GPUs in a data center, private cloud, public cloud, or workstation. The catalog positions NIM around optimized open and NVIDIA models, including chat, coding, reasoning, retrieval, vision, speech, and safety use cases, with downloadable model cards and API endpoints where NVIDIA exposes them.
Pricing on NVIDIA NIM
| Type | Rate |
|---|---|
| GPU Hour Rate | $1.00/GPU·hr |
Capabilities
No model capability flags are currently sourced.
About DePlot
DePlot is a multimodal AI model designed for visual language reasoning, specifically for interpreting charts and plots. It operates through a two-step process: converting plot images into linearized tables with a modality conversion module, and then using a large language model to analyze this textual data to answer complex queries about the visuals. This innovative "one-shot" approach enhances performance, achieving a 24% improvement over current models on the ChartQA benchmark for human-written queries. DePlot finds applications in data analysis, automated report generation, and educational tools, offering efficient insights from visual data while handling diverse chart types and open-ended questions.