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Tiered storage will help enterprises reduce their storage expenditure as they continue to adopt AI use cases for various tasks, analysts say.
Think of continuous batching as the LLM world’s turbocharger — keeping GPUs busy nonstop and cranking out results up to 20x faster.
DynamoDB error rates in the US-EAST-1 region soared shortly after midnight Pacific Time, rippling through other AWS services and affecting many customers.
The latest version of the Oracle database comes with agent builders and MCP Server integration to help developers embed automation into their workflows.
Want faster, smarter queries? Observability gives engineers the visibility to tune performance before users ever notice a slowdown.
Microsoft’s declarative REST and GraphQL API design tool supports MySQL and Postgres as well as Azure databases and works anywhere you can run a Docker container.
Asynchronous I/O, OAuth authentication, expanded SQL standards support, and new extension capabilities give developers faster performance, stronger security, and greater flexibility.
Even though traditional databases now support vector types, vector-native databases have the edge for AI development. Here’s how to choose.
With vector search now available in Enterprise Server and Community Edition, enterprises can streamline AI development and reduce operational overhead by avoiding fragmented stacks and external search engines.
The modernization platform will look at converting both legacy databases and code, the company said.