Gemma 7B Instruct on NVIDIA NIM

Gemma · Google DeepMind

ProvisionedOpen Weights

Last refreshed 2026-05-01. Next refresh: weekly.

Why use Gemma 7B Instruct on NVIDIA NIM?

NVIDIA NIM offers Gemma 7B Instruct with competitive pricing. NVIDIA NIM is NVIDIA's deployment platform for GPU-accelerated inference microservices.

Compare Gemma 7B Instruct across 8 providers to find the best fit for your use case
Input / 1M
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Output / 1M
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Cache
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Batch
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Setup recipe

Docs fallback
Install
Use the provider REST API or SDK
Auth
Create a provider API key
Call
model: gemma-7b-it
Model ID
gemma-7b-it

Request example

Curated snippets for this provider are not sourced yet. Use NVIDIA NIM documentation with model ID gemma-7b-it.

Gotchas

No curated gotchas have been sourced for this exact provider/model route yet.

Compare Gemma 7B Instruct Across Providers

ProviderInput (per 1M)Output (per 1M)
NVIDIA NIM——
Fireworks AI$0.20$0.20
Together AI$0.20$0.20
GCP Vertex AI$0.10$0.30
Cloudflare Workers AI——
View all 8 providers →

Capabilities

Structured Outputs

About Gemma 7B Instruct

Gemma 7B Instruct is a cutting-edge large language model developed by Google DeepMind, boasting 7 billion parameters. As part of the Gemma family, it benefits from the advanced research underpinning Google's Gemini models. This model is optimized for text generation tasks, excelling in areas like question answering and summarization, and it is finely tuned to follow instructions effectively. Despite its compact size, Gemma 7B Instruct performs impressively on benchmarks, making it versatile for deployment across various hardware platforms, from laptops to cloud infrastructure.

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