Using RecurrentGemma 2B on NVIDIA NIM
Implementation guide · RecurrentGemma · Google DeepMind
NVIDIA NIM exposes RecurrentGemma 2B through model ID recurrentgemma-2b. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-05-19. Next refresh: weekly.
Quick Start
- 1
- 2Use the NVIDIA NIM SDK or REST API to call
recurrentgemma-2b— see the documentation for request format. - 3
Code Examples
Pricing on NVIDIA NIM
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.