Oracle introduced HeatWave GenAI, allowing customers to create generative AI applications without AI expertise. HeatWave GenAI is faster than competitors such as Snowflake, Google BigQuery, and Databricks for vector processing. This tool includes in-database large language models, automated vector storage, scalable vector processing, and natural language conversations. Customers can use HeatWave GenAI without moving data or incurring additional costs. This tool is integrated with Oracle Cloud Infrastructure and offers features like LLM in the database, automated vector storage, and scalable vector processing. HeatWave GenAI simplifies the development of AI applications and reduces costs. Additionally, Oracle’s collaboration with AMD enhances the performance of HeatWave GenAI using AMD EPYC processors. Customers and analysts have praised HeatWave GenAI for its capabilities and affordability, making generative AI accessible to a wider audience. Oracle’s commitment to innovation in AI and machine learning through HeatWave sets it apart from competitors in the industry. Oracle’s goal is to provide an integrated cloud service with automated generative AI and machine learning to support a wide range of enterprise workloads.
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https://finance.yahoo.com/news/oracle-announces-industry-first-database-150000864.html
Oracle Introduces Groundbreaking In-Database LLMs and Automated Vector Store with HeatWave GenAI
