- Computational requirements: Multimodal models often require more powerful hardware and computational resources to process and analyze the data. This can include:
- Graphics Processing Units (GPUs): Multimodal models often require specialized GPUs to handle the computational demands of processing images, videos, and other visual data.
- Tensor Processing Units (TPUs): TPUs are designed specifically for machine learning workloads and can accelerate the processing of large datasets.
- High-performance computing clusters: Large-scale multimodal models may require access to high-performance computing clusters to process and analyze the data.
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