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Google TPUv7 Ironwood outperforms NVIDIA Blackwell Ultra on inference tasks

By PulseAugur Editorial · [1 sources] ·

SemiAnalysis reports that Google's TPUv7 Ironwood hardware offers a 50% improvement in performance per dollar compared to NVIDIA's Blackwell Ultra for inference tasks. This advantage is realized through the new TorchTPU external inference stack, which enables native PyTorch support on TPUs. The open-sourcing of Google's Pallas inference kernels further strengthens this foundation, indicating a positive trajectory for TPU externalization. AI

IMPACT Suggests a significant cost-performance advantage for Google's TPU hardware in AI inference workloads.

RANK_REASON Analysis of hardware performance comparing two major competitors. [lever_c_demoted from significant: ic=1 ai=0.7]

Read on X — SemiAnalysis →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Google TPUv7 Ironwood outperforms NVIDIA Blackwell Ultra on inference tasks

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Analysis of hardware performance comparing two major competitors. [lever_c_demoted from significant: ic=1 ai=0.7]
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COVERAGE [1]

  1. X — SemiAnalysis TIER_1 English(EN) · SemiAnalysis_ ·

    ALERT🚨🚨: On apples-to-apples InferenceX Comparisons, TPUv7 Ironwood achieves 50% better perf per dollar than Blackwell Ultra on the new TorchTPU external infere

    ALERT🚨🚨: On apples-to-apples InferenceX Comparisons, TPUv7 Ironwood achieves 50% better perf per dollar than Blackwell Ultra on the new TorchTPU external inference stack! TorchTPU brings native PyTorch to TPUs, &amp; along with Google open-sourcing a bunch of their Pallas https:…

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