Initial deployments are scheduled to begin in 2H 2026, employing custom MI450-class GPUs optimized specifically for Meta’s AI training and inference workloads.
A GPU-Accelerated Pipeline for Real-Time Power Doppler Imaging Using Compound Barker Code Excitation
Abstract: Power Doppler imaging is an invaluable tool for blood flow assessment. However, its quality can be degraded in scenarios where the signal-to-noise ratio (SNR) is low. To address this, coded ...
Validated 2nd-order PISO solver with flexible, deformed multi-block domains Seamless AI, deep learning, and neural network integration via PyTorch Fully differentiable Modular CUDA operators for ...
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