DiffusionGemma uses parallel denoising to generate text 4x faster by shifting compute bottlenecks from memory bandwidth to computation.
- •Achieves 700+ tokens/sec on RTX 5090 and 1000+ on H100 through parallel generation instead of sequential autoregressive approach
- •26B MoE architecture activates only 3.8B parameters during inference, fitting within 18GB VRAM limits
- •Bidirectional attention enables real-time error correction and simultaneous context propagation across entire text
- •Demonstrates constraint-solving via Sudoku fine-tuning: 80% success rate with significantly reduced inference steps
- •Integrates with vLLM and supports Hugging Face Transformers, MLX, and SGLang frameworks
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The Hacker News
Hugging Face
Google Cloud