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Xiaomi achieves 1000 tokens/sec with 1T parameter model on commodity GPUs

Xiaomi's MiMo team has developed a 1-trillion-parameter model capable of processing over 1000 tokens per second on commodity GPUs. This significant speed increase was achieved through a combination of advanced techniques, including FP4 quantization, DFlash speculative decoding, and the TileRT serving system. The breakthrough demonstrates a notable advancement in efficient large model deployment. AI

IMPACT Demonstrates significant progress in making extremely large models more efficient and accessible on standard hardware.

RANK_REASON The cluster describes a technical achievement in model efficiency and speed, which falls under research and infrastructure advancements.

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AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

COVERAGE [2]

  1. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Xiaomi's MiMo team has achieved over 1000 tokens per second on a 1-trillion-parameter model using commodity GPUs. The breakthrough comes from extreme model-syst

    Xiaomi's MiMo team has achieved over 1000 tokens per second on a 1-trillion-parameter model using commodity GPUs. The breakthrough comes from extreme model-system codesign combining FP4 quantisation, DFlash speculative decoding and TileRT serving on a single 8-GPU node. https://w…

  2. Mastodon — mastodon.social TIER_1 English(EN) · ngate ·

    🚀 Xiaomi's MiMo-v2.5-Pro-UltraSpeed model is here to redefine "fast" with a staggering 1 trillion parameters and a blazing 1000 TPS, because who doesn't need th

    🚀 Xiaomi's MiMo-v2.5-Pro-UltraSpeed model is here to redefine "fast" with a staggering 1 trillion parameters and a blazing 1000 TPS, because who doesn't need their # AI to outpace their Internet connection? 🤖💨 Now you too can experience the thrill of collaborating with a model th…