The CEA architecture is a bigger deal than I initially thought

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Summary

The article discusses the CEA architecture as a significant inference leap, emphasizing its encoder/decoder split and potential for innovative GPU pooling in heterogeneous setups.

I initially saw CEA as just an efficiency improvement, but the more I read about it, the more it feels like an inference architecture leap. The encoder/decoder split has some pretty interesting implications for GPU pooling. Instead of treating every GPU the same, you could have prefill-specialized GPUs for the encoder and decode-specialized GPUs for the decoder, each optimized for a different part of inference. Or just using more modern GPUs for the prefill phase and old HBM cards for decode in a heterogenous setup. 4.1 Flash obviously won't fit on my 4× MI50 + 2× V620 setup, but if Qwen adopts this in a new Flash model I'd be so pumped.
Original Article

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