Editorial polish — DiffusionGemma

{"title": "Google's DiffusionGemma hits 1,000 tokens/sec by generating 256-token blocks in parallel", "summary": "Google DeepMind's DiffusionGemma, a 26B MoE model, generates 256-token blocks simultaneously rather than sequentially, reaching 1,000+ tokens/sec on an H100 — a 4× throughput lift Google flags as experimental with output quality below standard Gemma 4. Licensed Apache 2.0 and fitting in 18GB VRAM quantized, it ships today with vLLM, Hugging Face, and MLX support, giving developers a concrete path to build low-latency inline editors and code-infill tools on consumer GPUs."}

Source: blog.google ↗