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$AMD's MI430X will deliver up to 200 TFLOPs of native FP64 performance, making it potentially the highest-performance FP64 GPU ever built
That would put it far ahead of NVIDIA’s Rubin, which is listed at around 33 TFLOPs of native FP64 vector compute, or up to 200 TFLOPs only through Tensor-Core-based emulation
$AMD is focusing on native FP64 performance, which matters for classic high-performance computing workloads, including scientific simulations, energy research, biology, national security, advanced materials, and manufacturing
MI430X will be part of AMD’s broader MI400 series, while MI450X remains the main AI-focused accelerator. AMD is trying to show that it can serve both sides of the market: low-precision AI workloads and high-precision HPC workloads
The chip is already tied to major supercomputer deployments, including the Discovery system at Oak Ridge National Laboratory, planned for 2028, and Europe’s Alice Recoque exascale-class system