Oracle announced the launch of HeatWave GenAI, an innovative set of generative artificial intelligence capabilities integrated directly into its cloud database. This includes in-database large language models (LLMs), automated in-database vector storage, and scalable vector processing. The aim is to provide enterprises with the ability to build GenAI applications without the need for specialized AI skills, moving data, or incurring additional costs.
Oracle positions itself as an alternative to other leading companies such as Snowflake, Google BigQuery, and Databricks for vector processing. Vector processing involves performing operations on multiple data points simultaneously, significantly speeding up data processing for tasks like data analysis, machine learning, and semantic search.
The HeatWave GenAI components include LLM in Database, automated vector storage in the database, and scalable vector processing. Customers can leverage these features to perform data search, content generation, and other tasks within the Oracle database without requiring external GPUs or AI services. The scalable vector processing enables fast and accurate semantic search results using standard SQL.
Oracle’s new GenAI offering has the potential to deliver significant business value, especially for global enterprise customers with a multi-region, multi-cloud presence. The HeatWave GenAI suite is now available in all Oracle Cloud regions, and Oracle claims it offers significant performance advantages over competitors in terms of speed and cost-effectiveness.
Comparisons were made with other GenAI platforms such as Snowflake AI Data Cloud, Databricks Lakehouse Platform, and Google BigQuery, highlighting the unique features and benefits of each platform. Overall, Oracle’s HeatWave GenAI aims to provide enterprises with a powerful tool to accelerate their AI initiatives and achieve superior performance in data processing and computation.
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https://www.fierce-network.com/cloud/sweltering-heat-so-oracles-new-genai-suite
