Using RecurrentGemma 2B on NVIDIA NIM
Implementation guide · RecurrentGemma · Google DeepMind
Quick Start
- 1
- 2Use the NVIDIA NIM SDK or REST API to call
recurrentgemma-2b— see the documentation for request format. - 3
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 RecurrentGemma 2B
RecurrentGemma 2B, developed by Google, leverages a novel Griffin architecture that integrates linear recurrences with local attention mechanisms to adeptly manage long sequences while minimizing memory usage. It excels in text generation tasks, such as question answering, summarization, and reasoning, by efficiently handling complex prompts and instructions. Available in both pre-trained and instruction-tuned versions, RecurrentGemma enhances usability in interactive applications like chatbots. Its open-source nature fosters transparency, enabling researchers to explore and innovate further. Performance-wise, it stands out with competitive results on benchmarks like HellaSwag and PIQA, marking a notable leap in natural language processing capabilities.