Essential for processing large-scale multimodal workloads, especially those involving deep learning or high-dimensional search.
GPU acceleration leverages the parallel processing capabilities of graphics processing units to speed up computation-intensive tasks. This is particularly beneficial for deep learning and high-dimensional data processing.
GPUs excel at parallel processing, making them ideal for tasks like matrix operations, neural network training, and large-scale data processing. Frameworks like CUDA and OpenCL enable developers to harness GPU power.
Connect a bucket and Mixpeek runs the whole multimodal search pipeline for you: extraction, indexing, and search over your own objects. No models to wire up, nothing to host.
Start with ManagedKeep your embeddings on your own cloud and run dense, sparse, and BM25 search directly on object storage. First 1M vectors free.
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