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bidirectional attention

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Jun 22, 2026 · Artificial Intelligence

How DiffusionGemma Shifts LLM Inference Bottleneck from Memory Bandwidth to Compute

DiffusionGemma, an experimental discrete text diffusion model built on the 26B MoE Gemma‑4 architecture, generates whole 256‑token blocks with bidirectional attention, moving the inference bottleneck from memory bandwidth to GPU compute, achieving up to four‑fold speed gains on H100 and RTX 5090 GPUs, though with lower output quality than standard autoregressive models.

DiffusionGemmaGPU performanceLLM inference

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How DiffusionGemma Shifts LLM Inference Bottleneck from Memory Bandwidth to Compute

Machine Heart

Jun 11, 2026 · Artificial Intelligence

Google Releases DiffusionGemma 26B MoE—Text Generation Up to 4× Faster

DiffusionGemma, Google's new 26‑billion‑parameter Mixture‑of‑Experts model, replaces token‑by‑token autoregression with a diffusion‑style output head that generates whole text blocks, delivering up to four‑fold speed gains on consumer GPUs while offering bidirectional attention and self‑correction, albeit with lower quality than standard Gemma 4.

DiffusionGemmaGPU AccelerationLocal Inference

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Google Releases DiffusionGemma 26B MoE—Text Generation Up to 4× Faster