Deploying SIE on GPU: Embeddings, and Zero-Shot Extraction

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Published 19 Jun 2026

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Title: Deploying SIE on GPU: Embeddings, and Zero-Shot Extraction

URL Source: https://medium.com/@shrinath.suresh/deploying-sie-on-gpu-embeddings-and-zero-shot-extraction-a20f525f0213?source=rss------machine_learning-5

Published Time: 2026-06-19T05:39:53Z

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# Deploying SIE on GPU: Embeddings, and Zero-Shot Extraction | by Shrinath Suresh | Jun, 2026 | Medium

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# Deploying SIE on GPU: Embeddings, and Zero-Shot Extraction

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In the previous article, we explored how to run the [Superlinked Inference Engine (SIE)](https://github.com/superlinked/sie) on CPU and benchmark its performance for embedding generation. While the CPU benchmark demonstrated the simplicity of the framework, many production workloads rely on GPUs for higher throughput and lower latency.

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