The world beyondthe cart, writtenby those who build Magento.

Gemma is Google DeepMind's family of open-weight language models, built on the same research behind Gemini. Released from 2B to 27B parameters, it runs locally on consumer GPUs or enterprise servers under a permissive commercial licence.

Gemini is the proprietary frontier model available only through Google APIs. Gemma is the open-weight counterpart: smaller, downloadable, deployable on-premise and fine-tunable. Same research base, different usage and distribution.

In its larger versions (Gemma 2 27B, Gemma 3) it competes with GPT-3.5/4o mini and Llama 3 70B on academic benchmarks, with strengths in multilingual tasks and reasoning. For frontier workloads GPT-4o and Claude 3.5 Sonnet stay ahead, but Gemma is the best choice when you need open weights with a commercial licence.

The easiest routes are Ollama (ollama run gemma2), LM Studio with a graphical UI, or Hugging Face Transformers for programmatic use. Gemma 2B runs on an 8GB GPU, Gemma 9B needs 16-24GB, Gemma 27B requires professional GPUs or GGUF quantisation.

On-premise customer support automation (sensitive data never leaves your infrastructure), document classification, internal RAG over company knowledge bases, self-hosted coding assistants and vertical agents for regulated sectors such as pharma, banking and public administration.