gemma open-weights llm-release nvidia-nim inference

Google releases open DiffusionGemma model via NVIDIA

DiffusionGemma-26B hits 500+ tokens/second on NVIDIA NIM, Apache 2 licensed, no local setup required yet.

Summary

Open-weight alternative to closed diffusion APIs removes licensing friction and enables cost-controlled inference at scale. Free NVIDIA hosting lowers barrier to testing multimodal workflows.

Why it matters

Open-weight alternative to closed diffusion APIs removes licensing friction and enables cost-controlled inference at scale. Free NVIDIA hosting lowers barrier to testing multimodal workflows.

Implementation verdict

Replaces experimental Gemini Diffusion preview. Requires NVIDIA NIM API access (currently free tier). Worth trying now for token throughput benchmarking; production readiness depends on latency SLA and quota limits.

Sources

1.google/diffusiongemma-26B-A4B-it
2.Apache 2 licensed
3.at least 500 tokens/second
4.NVIDIA are currently hosting the model for free on their NIM cloud API

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