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SambaNova’s SN50 chip improves running this model significantly, which we previewed at RAISE with MiniMax M2.7 running over 800 tokens/second as validated by Artificial Analysis. SemiAnalysis has now benchmarked SambaRack SN50 on MiniMax M2.7 as well, demonstrating two configurations of the same model with different chip parallelism strategies. In the chart below, SN50 is deployed using vLLM appearing with ~800 tokens/second at the fastest interactivity and ~400 tokens/second with throughput starting to approach the fastest throughput of B200s running the same model. This is early validation for SambaRack SN50 on MiniMax M2.7, showing fast decode performance in the part of the stack users feel the most. 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