$NVIDIA(NVDA)$ GPUs and TPUs b

GPUs and TPUs both accelerate AI workloads, yet their strengths lie in different domains. GPUs offer unmatched flexibility, ecosystem compatibility, and support for diverse computing tasks such as graphics rendering, simulations, and AI research. TPUs, built with systolic arrays, excel in deep learning models, providing superior throughput and energy efficiency, though with reduced generality. The right choice depends on factors like architecture, cost, scalability, and framework support.

TPU vs GPU: Comprehensive Technical Comparison https://share.google/pnYNnTQ7jGYbL3VBF

Modified in.11-25

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