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 SEA-LION 7B
The SEA-LION 7B model is a state-of-the-art large language model designed for the Southeast Asian region, part of the SEA-LION family. This decoder-only transformer model boasts 7 billion parameters and is based on the MPT architecture. It features a custom SEABPETokenizer with a vocabulary of 256,000 tokens, optimizing performance for Southeast Asian languages. Supporting multiple languages like English, Chinese, and Indonesian, it excels in tasks such as question answering, sentiment analysis, machine translation, and text summarization. Trained on 980 billion tokens, the model effectively captures linguistic and cultural nuances, offering strong performance and accessible open-source resources 235.