AWS now offers Google DeepMind's Gemma 4 open-weight AI models through its managed Bedrock service, giving businesses access to cutting-edge models while keeping their data fully under their own control.

What happened

AWS announced the availability of three Gemma 4 model variants on Amazon Bedrock, built by Google DeepMind and released under the Apache 2.0 license. The family spans from a 2.3B-effective-parameter compact model up to a 30.7B-parameter dense model, each supporting built-in reasoning, native function calling, and multimodal input (text and image).

Why it matters

Organizations adopting open-weight foundation models (AI systems built with publicly available code and weights) face a tension between using leading models and maintaining data protection and regulatory control. Amazon Bedrock removes that trade-off by running inference entirely on AWS infrastructure, ensuring prompts and completions are not used to train models and content is not shared with third parties.

What to watch

Independent benchmarks show Gemma 4 31B achieves an Intelligence Index of 39, well above the median of 15 in the 4B–40B open-weights class. The Gemma 4 26B-A4B variant uses a mixture-of-experts architecture with only 3.8B active parameters per request, delivering roughly 4B-class cost and latency while retaining the knowledge capacity of a much larger model.