The process of converting vast libraries of text into numerical representations known as embeddings is essential for generative AI. Various technologies—from semantic search and recommendation engines to retrieval-augmented generation (RAG)—depend on embeddings to transform data so LLMs and other models can understand and process it. Yet generating embeddings for millions or billions of…
]]>Azure recently announced support for NVIDIA’s T4 Tensor Core Graphics Processing Units (GPUs) which are optimized for deploying machine learning inferencing or analytical workloads in a cost-effective manner. With Apache Spark deployments tuned for NVIDIA GPUs, plus pre-installed libraries, Azure Synapse Analytics offers a simple way to leverage GPUs to power a variety of data processing and…
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