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Habana separates machine learning training from inference

By building different processors to address machine learning training and inference, Habana has been able to achieve impressive results as per its benchmarks
By George Anadiotis, Contributor
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1 of 3 Habana

Architecture for machine learning training and inference

Different machine learning workloads are better suited for different processors with different architectures, according to Habana

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2 of 3 The Microprocessor report

Habana smokes inference incumbents

Habana's Goya compared to Nvidia's Tesla and other processors on inference workloads

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3 of 3 Habana

Habana's Goya processor compared to CPU and GPU

Results based for the ResNet-50 inference benchmark. Note results also include power efficiency

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