Xiaomi MiMo and TileRT Push a 1-Trillion-Parameter Model Past 1000 Tokens Per Second on Commodity GPUs
Quick Answer
This paper shows that Xiaomi's MiMo team, in collaboration with TileRT, has launched MiMo-V2.5-Pro-UltraSpeed, achieving over 1000 tokens per second decoding on a 1-trillion-parameter model using a single 8-GPU commodity node.
Quick Take
Xiaomi's MiMo team, in collaboration with TileRT, has launched MiMo-V2.5-Pro-UltraSpeed, achieving over 1000 tokens per second decoding on a 1-trillion-parameter model using a single 8-GPU commodity node. This advancement significantly enhances performance for AI applications, making high-capacity models more accessible on standard hardware.
Key Points
- MiMo-V2.5-Pro-UltraSpeed decodes over 1000 tokens per second.
- Utilizes a single 8-GPU commodity node for processing.
- Targets a 1-trillion-parameter model for enhanced performance.
- Collaboration between Xiaomi's MiMo team and TileRT.
- Significant implications for AI application accessibility.
Article Excerpt
From source RSS / original summaryXiaomi's MiMo team, with TileRT, released MiMo-V2. 5-Pro-UltraSpeed, a serving mode for the MiMo-V2. 5-Pro model. It decodes over 1000 tokens per second on a 1-trillion-parameter model using a single 8-GPU commodity node. The post Xiaomi MiMo and TileRT Push a 1-Trillion-Parameter Model Past 1000 Tokens Per Second on Commodity GPUs appeared first on MarkTechPost.
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