Xiaomi's MiMo team has released MiMo-V2.5-Pro-UltraSpeed, a new inference mode for their 1-trillion-parameter model that achieves over 1000 tokens per second on commodity GPUs. This significant speedup is attributed to a combination of FP4 quantization, DFlash speculative decoding, and the TileRT serving system, without requiring custom hardware. The company claims this advancement will revolutionize AI applications by enabling faster parallel reasoning, improving coding agent efficiency, and supporting real-time decision-making processes. AI
IMPACT Accelerates real-time AI applications and agentic workflows by drastically reducing inference latency on widely available hardware.
RANK_REASON This is a significant advancement in AI inference speed and efficiency, demonstrating a new capability on commodity hardware.
- MiMo-V2.5-Pro-UltraSpeed
- Xiaomi
- MiMo
- TileRT
- ChatGPT
- 1-trillion-parameter model
- commodity GPUs
- DFlash speculative decoding
- FP4 quantization
AI-generated summary · Google Gemini · from 10 sources. How we write summaries →