venturebeat
How OpenAI is scaling the PostgreSQL database to 800 million users

While vector databases still have many valid use cases, organizations including OpenAI are leaning on PostgreSQL to get things done.In a blog post on Thursday, OpenAI disclosed how it is using the open-source PostgreSQL database.OpenAI runs ChatGPT and its API platform for 800 million users on a single-primary PostgreSQL instance — not a distributed database, not a sharded cluster. One Azure PostgreSQL Flexible Server handles all writes. Nearly 50 read replicas spread across multiple regions handle reads. The system processes millions of queries per second while maintaining low double-digit millisecond p99 latency and five-nines availability.The setup challenges conventional scaling wisdom and offers enterprise architects insight into what actually works at massive scale.The lesson here [...]

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venturebeat
Databricks set to accelerate agentic AI by up to 100x with ‘Mooncake’ technology — no ETL pipelines for analytics and AI

Many enterprises running PostgreSQL databases for their applications face the same expensive reality. When they need to analyze that operational data or feed it to AI models, they build ETL (Extract, [...]

Match Score: 135.60

venturebeat
Six data shifts that will shape enterprise AI in 2026

For decades the data landscape was relatively static. Relational databases (hello, Oracle!) were the default and dominated, organizing information into familiar columns and rows.That stability eroded [...]

Match Score: 114.30

venturebeat
SurrealDB 3.0 wants to replace your five-database RAG stack with one

Building retrieval-augmented generation (RAG) systems for AI agents often involves using multiple layers and technologies for structured data, vectors and graph information. In recent months it has al [...]

Match Score: 89.62

venturebeat
Oracle converges the AI data stack to give enterprise agents a single version of truth

Enterprise data teams moving agentic AI into production are hitting a consistent failure point at the data tier. Agents built across a vector store, a relational database, a graph store and a lakehous [...]

Match Score: 88.86

venturebeat
Databricks' serverless database slashes app development from months to days as companies prep for agentic AI

Five years ago, Databricks coined the term 'data lakehouse' to describe a new type of data architecture that combines a data lake with a data warehouse. That term and data architecture are n [...]

Match Score: 82.35

venturebeat
Train-to-Test scaling explained: How to optimize your end-to-end AI compute budget for inference

The standard guidelines for building large language models (LLMs) optimize only for training costs and ignore inference costs. This poses a challenge for real-world applications that use inference-tim [...]

Match Score: 75.25

venturebeat
Microsoft and OpenAI gut their exclusive deal, freeing OpenAI to sell on AWS and Google Cloud

Microsoft and OpenAI on Monday announced a sweeping overhaul of the partnership that has defined the commercial AI era, dismantling key pillars of exclusivity and revenue-sharing that bound the two co [...]

Match Score: 71.48

venturebeat
OpenAI launches GPT-5.6-Cyber with reduced refusals, 95% completion on advanced cybersecurity tasks

Earlier today, OpenAI launched GPT-5.6-Cyber, a specialized model designed to perform advanced vulnerability research and exploit development for approved defenders — including categories of work th [...]

Match Score: 66.28

venturebeat
New memory framework builds AI agents that can handle the real world's unpredictability

Researchers at the University of Illinois Urbana-Champaign and Google Cloud AI Research have developed a framework that enables large language model (LLM) agents to organize their experiences into a m [...]

Match Score: 58.40