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    <title>MLPerf on KAD</title>
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    <description>Recent content in MLPerf on KAD</description>
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      <title>MLPerf Inference v6.1: AMD, Blackwell and Vera Rubin Tested</title>
      <link>https://www.kad8.com/ai/mlperf-inference-v6.1-amd-blackwell-and-vera-rubin-tested/</link>
      <pubDate>Sat, 19 Sep 2026 21:04:33 +0800</pubDate>
      
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&lt;p&gt;MLPerf Inference v6.1: AMD, Blackwell and Vera Rubin Tested&lt;/p&gt;&lt;/blockquote&gt;
&lt;p&gt;MLCommons has released the results of &lt;strong&gt;MLPerf Inference v6.1&lt;/strong&gt;, introducing a record-scale 512-accelerator submission, new benchmarks for retrieval-augmented generation and edge agentic inference, and the first peer-reviewed performance results for NVIDIA&amp;rsquo;s Vera Rubin platform.&lt;/p&gt;</description>
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      <title>NVIDIA vs AMD MLPerf v5.0: Blackwell B200 vs MI325X Performance</title>
      <link>https://www.kad8.com/ai/nvidia-vs-amd-mlperf-v5.0-blackwell-b200-vs-mi325x-performance/</link>
      <pubDate>Fri, 04 Apr 2025 00:14:03 +0800</pubDate>
      
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&lt;p&gt;NVIDIA vs AMD MLPerf v5.0: Blackwell B200 vs MI325X Performance&lt;/p&gt;&lt;/blockquote&gt;
&lt;p&gt;GPU performance remains a primary bottleneck and differentiator in modern AI systems, especially for large-scale inference workloads. The latest MLPerf Inference v5.0 results provide a direct comparison between NVIDIA’s Blackwell B200 and AMD’s Instinct MI325X, highlighting both architectural advantages and ecosystem maturity.&lt;/p&gt;</description>
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      <title>Google TPU v4: The Fastest AI Supercomputer at MLPerf 0.7</title>
      <link>https://www.kad8.com/ai/google-tpu-v4-the-fastest-ai-supercomputer-at-mlperf-0.7/</link>
      <pubDate>Wed, 29 Jul 2020 23:11:42 +0800</pubDate>
      
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&lt;p&gt;Google TPU v4: The Fastest AI Supercomputer at MLPerf 0.7&lt;/p&gt;&lt;/blockquote&gt;
&lt;p&gt;Google&amp;rsquo;s fourth-generation Tensor Processing Unit (TPU v4) demonstrated how aggressively optimized AI accelerators can exploit massive system-level scale.&lt;/p&gt;</description>
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