AI workloads Archives

Tech Optimizer

February 23, 2026

Databricks Introduces Lakebase, a PostgreSQL Database for AI Workloads

Databricks has launched Lakebase, a serverless database solution based on PostgreSQL that allows independent scaling of compute and storage resources. It integrates with the Databricks platform, combining transactional and analytical functionalities. Lakebase aims to simplify real-time application and AI workload development by consolidating database management, analytics, and governance. Key features include instant data branching, point-in-time recovery, and unified access controls. It is designed to address the limitations of traditional operational databases, which struggle with modern AI demands. Lakebase offers a managed PostgreSQL service, supporting up to 8TB per instance and featuring pgvector for AI-driven search. It has been in development since June 2025, utilizing technology from the PostgreSQL company Neon and enhanced by the acquisition of Mooncake. Lakebase is available in Autoscaling and Provisioned versions, with the Autoscaling version billed based on usage. It is currently available on AWS, in public preview on Azure, and expected on Google Cloud later this year. SOC2 and HIPAA certifications are projected for early 2026.

Tech Optimizer

February 14, 2026

PostgreSQL on Azure supercharged for AI

Over 80% of developers now incorporate AI tools into their workflows. PostgreSQL is preferred by 78.6% of developers engaged in AI and real-time applications. Microsoft has enhanced its PostgreSQL managed services to meet contemporary developer needs, contributing over 500 commits to the open-source project. The Azure Database for PostgreSQL supports both lift-and-shift and new open-source workloads, while the newly introduced Azure HorizonDB is designed for AI-native workloads. Developers can provision PostgreSQL instances directly from Visual Studio Code, and GitHub Copilot assists in writing and optimizing SQL queries. Azure Database for PostgreSQL facilitates integration with Microsoft Foundry for AI applications and supports high-performance similarity search with DiskANN vector indexing. PostgreSQL 18 is now available on Azure, offering enhanced performance and scalability. Nasdaq has modernized its Boardvantage platform using Azure Database for PostgreSQL and Microsoft Foundry to integrate AI for governance tasks. Azure HorizonDB is a fully managed PostgreSQL-compatible service designed for AI-native workloads, currently in private preview.

Tech Optimizer

February 12, 2026

OpenAI Scales Single Primary Postgresql to Millions of Queries per Second for ChatGPT

OpenAI scaled PostgreSQL to handle millions of queries per second for its ChatGPT service and API, serving 800 million users. Collaborating with Azure, they optimized deployment on Azure Database for PostgreSQL, maintaining a single-primary instance with nearly 50 geo-distributed read replicas to manage read operations and keep latency low. Key optimizations included increasing instance size, refining query patterns, and directing write-heavy workloads to sharded systems like Azure Cosmos DB. OpenAI faced operational challenges such as cache-miss storms and complex multi-table joins, which they addressed by shifting tasks to the application layer, enforcing stricter timeouts, and refining query structures. They reduced write pressure on PostgreSQL by migrating shardable workloads, implementing rate-limiting, and utilizing connection pooling with PgBouncer. Future strategies include exploring cascading replication to alleviate the primary instance's load and assessing sharded PostgreSQL deployments to enhance scalability while balancing consistency and performance.

Tech Optimizer

February 12, 2026

Simplyblock provides Postgres Git-style branching

Simplyblock has developed Vela software, enabling instant Postgres database branches without data copying, utilizing its block storage capabilities. CEO Rob Pankow emphasizes Postgres as a key database for AI applications, with companies like Databricks and Snowflake making significant advancements in serverless Postgres technology. Pankow identifies challenges with managed Postgres instances, including IOPS limits, throttling, latency spikes, and high costs due to overprovisioning. Vela allows developers to run Postgres in their cloud accounts, co-locating data and GPUs, and employs a copy-on-write mechanism for database branches, facilitating Git-like version control. Vela is cloud-agnostic, integrates with Kubernetes, and supports features like autoscaling and lifecycle orchestration. Simplyblock has also launched a hosted Vela Sandbox for users to explore the software. A Vela Beta is available with documentation and access to the sandbox.

Tech Optimizer

January 28, 2026

EDB Demonstrates Strong Global Momentum and Cross-Industry Adoption of EDB Postgres® AI

MNTN, Waystar, and NTT East have adopted EDB Postgres AI (EDB PG AI) to modernize their data platforms, enabling agentic AI, real-time analytics, and mission-critical operations while maintaining control over data and infrastructure. EDB's Sovereignty Matters research indicates that enterprises focusing on scalable agentic AI prioritize sovereign control of data, hybrid deployment flexibility, and a unified platform for transactions, analytics, and AI workloads. MNTN modernized its data warehouse for high-volume advertising data, Waystar consolidated its data infrastructure for healthcare transaction processing, and NTT East enhanced AI-driven network operations while ensuring data locality control. The adoption of EDB PG AI reflects a growing market demand for open-source database foundations, with 35% of enterprises considering PostgreSQL for complex workloads. EDB PG AI provides an open-source foundation, accelerated AI development, hybrid deployment flexibility, and enterprise-grade reliability.

Tech Optimizer

January 27, 2026

EDB Announces Industry-First Book for Building Sovereign Data and AI Platforms with PostgreSQL

EnterpriseDB (EDB) has released a publication titled "Building a Data and AI Platform with PostgreSQL," authored by experts in PostgreSQL and data platforms. The book aims to guide executives and architects in transitioning generative and agentic AI into production-ready platforms. Research from EDB shows that while 95% of organizations plan to establish AI platforms in the next three years, only 35% currently use PostgreSQL for complex workloads, with just 13% achieving success at scale. The book emphasizes the importance of foundational platform design for successful AI deployment and offers a framework for establishing a platform mindset, identifying necessary architecture and governance, and mitigating data challenges. It has received endorsements from industry leaders, highlighting its practical guidance for moving AI from pilot projects to production. The book is available for purchase and will be distributed at the NVIDIA GTC 2026 conference.

Tech Optimizer

January 26, 2026

OpenAI Scales ChatGPT to 1M Queries/Second with PostgreSQL on Azure

OpenAI has optimized its database infrastructure using PostgreSQL to support 800 million monthly active users and process over a million queries per second without complex sharding. The architecture consists of a single primary instance with nearly 50 read replicas, achieving low double-digit millisecond response times at the 99th percentile. OpenAI employs best practices like connection pooling, query optimization, and strategic indexing, utilizing tools such as PgBouncer for efficient connection management. The company has achieved five-nines availability through failover mechanisms and has adapted to a tenfold increase in query volume within a year by tuning PostgreSQL parameters rather than creating custom solutions. OpenAI incorporates community-driven optimizations, such as custom indexing strategies and materialized views, and uses extensions like pgvector for managing vector data and embeddings. The organization continuously monitors for strain during traffic surges and adjusts by adding replicas or optimizing configurations. Their approach emphasizes simplicity, avoiding sharding to minimize operational overhead, and they plan to explore newer PostgreSQL features and AI-native capabilities in the future.

Winsage

January 13, 2026

CES 2026: Showcasing new Windows 11 PC innovations across the ecosystem

CES showcased significant advancements in artificial intelligence (AI) integrated into the Windows ecosystem, with various companies unveiling new products. Acer introduced the Copilot+ PCs, including the Swift 16 AI laptop with a haptic touchpad and Predator Helios Neo 16S AI gaming laptop. ASUS launched the Zenbook DUO, featuring dual OLED touchscreens, and the ROG Zephyrus Duo, a dual-screen gaming laptop. Dell refreshed its XPS brand with new laptops and monitors, while HP presented the EliteBook X G2 Series and the EliteBoard G1a Next Gen AI PC. Lenovo revealed several new Copilot+ PCs, and Samsung introduced the Galaxy Book6 series. AMD and Intel announced new processor lines, with AMD's Ryzen AI 400 Mobile Series and Intel's Core Ultra Series 3 processors. Qualcomm launched the Snapdragon X2 Plus for enhanced AI experiences in PCs.

Tech Optimizer

January 12, 2026

Percona launches fixed-scope packages for open databases

Percona has launched Percona Packages, a suite of consulting and support services for database and IT teams using open-source systems. The initial offerings include: 1. **Quickstart**: Prepares database environments for high-demand periods with proactive optimization, a health check, and three months of expert support. 2. **Performance Optimization**: Identifies and resolves database performance issues, including slow queries and configuration problems, through hands-on tuning and best-practice guidance. 3. **AI Readiness**: Tailored for PostgreSQL, this package optimizes databases for AI workloads, featuring performance metrics analysis and benchmarks. These packages aim to address the skills shortage in data engineering and management, supporting various open-source database technologies like MySQL, PostgreSQL, MongoDB, Redis, and Valkey. The services are designed to help organizations prepare for peak usage and improve ongoing performance, allowing them to focus on innovation rather than infrastructure.

Tech Optimizer

January 3, 2026

Why AI Workloads Are Fueling a Move Back to Postgres

The database landscape has seen transformative shifts with the rise and fall of various technologies, leading to a resurgence in the adoption of PostgreSQL (Postgres) as a favored database system for modern AI applications. AI workloads have disrupted traditional managed database models, which were designed for predictable workloads, by introducing demands for high parallelism and continuous ingestion of large datasets. Engineering teams face challenges when scaling managed Postgres instances due to IOPS limits, throttling, and latency spikes. Major database vendors are emphasizing PostgreSQL compatibility, recognizing the need for a stable SQL system with strong transactional support. Despite its advantages, traditional managed database models present limitations, including reliance on network storage that introduces latency and IOPS constraints. A new model called Bring Your Own Cloud (BYOC) Postgres is emerging, allowing organizations to control their cloud environments while leveraging managed services, improving performance by colocating data with compute resources. Utilizing local NVMe storage with Postgres can enhance performance by reducing latency and IOPS limitations. Modern Postgres platforms facilitate efficient cloning processes that support parallel experiments in AI development, leading to shorter feedback loops and faster iteration cycles. The robust ecosystem of Postgres allows it to handle diverse workloads, streamlining data management and minimizing operational complexity. Developer velocity is a critical factor in the shift back to Postgres, as it enables rapid feedback and safe testing environments, empowering teams to innovate more effectively.