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 |
| GPU Config | 1xH100 |
Capabilities
No model capability flags are currently sourced.
About Kosmos 2
Kosmos-2, developed by Microsoft Research, is an advanced multimodal large language model (MLLM) that enhances the capabilities of its predecessor, Kosmos-1. It features a Transformer-based architecture trained on the GrIT dataset of grounded image-text pairs, enabling it to understand and interact with both text and visual data. A key innovation is Kosmos-2's ability to ground language to the visual world, allowing for nuanced interaction with images by linking text to specific visual elements using location tokens. This model excels in various tasks including image caption generation, referring expression comprehension, and perception-language tasks, making it valuable for applications such as robotics, multimodal dialogue systems, and more. Kosmos-2 is considered a significant step towards AI systems that are more contextually aware and closer to achieving artificial general intelligence (AGI) 12.