Last refreshed 2026-05-01. Next refresh: weekly.
Why use Gemma 2B Instruct on NVIDIA NIM?
NVIDIA NIM offers Gemma 2B Instruct with competitive pricing. NVIDIA NIM is NVIDIA's deployment platform for GPU-accelerated inference microservices.
Compare Gemma 2B Instruct across 7 providers to find the best fit for your use caseSetup recipe
Docs fallbackUse the provider REST API or SDKCreate a provider API keymodel: gemma-2b-itgemma-2b-itRequest example
gemma-2b-it.Gotchas
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Compare Gemma 2B Instruct Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Together AI | $0.10 | $0.10 |
| GCP Vertex AI | $0.04 | $0.12 |
| Cloudflare Workers AI | — | — |
| NVIDIA NIM | — | — |
| Alibaba Cloud PAI-EAS | — | — |
Capabilities
About Gemma 2B Instruct
Gemma 2B Instruct is a large language model developed by Google, designed to balance performance and accessibility with its 2 billion parameters. Derived from the Gemini family, it excels in tasks such as text generation, code interpretation, and mathematical problem-solving. Built on a transformer decoder architecture, it features multi-query attention, RoPE, GeGLU activations, and RMSNorm. Trained on approximately 6 trillion tokens, including web documents, code, and mathematical content, it uses SFT and RLHF for instruction-tuning. Notable for its lightweight design permitting deployment on consumer-grade hardware, it's open-source and optimized for dialogue applications.