25d • 🤖 AI
Where would faster local AI help you most?
This one feels like a big hint at where local AI is heading next.
Google introduced DiffusionGemma, an experimental open model that generates text in parallel instead of one token at a time, making it up to 4x faster on dedicated GPUs.
- Up to 4x faster text generation on GPUs
- 1000+ tokens per second on a single NVIDIA H100
- 700+ tokens per second on an RTX 5090
- Built for low-latency local AI workflows
- Generates 256-token blocks in parallel
- Better fit for in-line editing, code infilling, and rapid iteration
- Uses bi-directional attention, so tokens can see the whole block
- Iterative self-correction while generating output
- 26B MoE model, but only 3.8B active parameters during inference
- Can fit in 18GB VRAM when quantized
- Great signal for faster desktop AI agents and local automation tools
- Not meant to beat Gemma 4 on quality yet
- Speed vs quality trade-off is the big theme here
Where do you guys think faster local text generation matters most: coding, agents, editing, support bots, or something else?
I would say coding and support bots for me.
Read the full article here: https://blog.google/innovation-and-ai/technology/developers-tools/diffusion-gemma-faster-text-generation
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Where would faster local AI help you most?
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