AI workloads Archives

Tech Optimizer

June 18, 2026

Companies turn to EnterpriseDB for AI data control

Organizations are increasingly adopting EnterpriseDB's EDB Postgres AI platform due to a rising demand for enhanced control over data in AI systems, particularly in sectors like banking, insurance, retail, and trading. Research from MIT Technology Review Insights indicates that prioritizing AI and data sovereignty significantly predicts success in AI initiatives, with such organizations achieving five times the return on investment. In South Korea, the Industrial Bank of Korea migrated 15 core systems to EDB Postgres AI, citing significant reductions in licensing costs compared to Oracle and improved scalability for future AI services. Shinhan EZ Insurance transitioned its core system to the public cloud using EDB, overcoming challenges related to legacy database licensing and emphasizing the importance of operational stability. Beyond finance, companies like MNTN, Euronext FX, and Kyobo Book Centre have adopted the platform to reduce vendor reliance, manage data workloads, and enhance compliance control. MNTN uses EDB for large-scale analytical processing, Euronext FX has implemented it across four data centers, and Kyobo Book Centre migrated from a costly data warehouse to the EDB solution. A common trend among these deployments is the use of a single Postgres-based platform for transactional processing, analytics, and AI tasks, reflecting an industry initiative to simplify operations and reduce costs. Hensley noted the critical convergence of AI systems with operational data, as AI agents operate against live data in high-volume workflows, highlighting the drawbacks of using separate platforms for transactions and analytics. EnterpriseDB has also received industry accolades for its data management and contributions to the open-source community, reinforcing its market position.

Winsage

June 17, 2026

NVIDIA’s RTX Spark launch is huge, but Qualcomm and Microsoft built the Windows ARM foundation

Qualcomm announced the Snapdragon X Elite in 2023, an ARM-based processor that outperformed traditional x86 processors. The Snapdragon X Series featured a custom Oryon core design and was optimized for Windows through collaboration with Microsoft, including the introduction of the Prism emulation layer, which allows x86/x64 applications to run on ARM. Many applications, such as Adobe Illustrator and Discord, now run natively on ARM, showing significant performance improvements. By 2026, NVIDIA unveiled the RTX Spark, an ARM-powered system on a chip, developed with MediaTek, featuring an ARM Cortex CPU and a Blackwell RTX GPU. NVIDIA also announced improvements to Windows for better workload scheduling and support for kernel-level anti-cheat software on Windows ARM.

Winsage

June 17, 2026

Introducing the next Surface Pro and Surface Laptop, built for performance and flexibility

Surface has evolved over 13 years through contributions from architects, developers, students, and engineers. In 2026, Surface will launch its most extensive Surface for Business lineup, including an integrated privacy screen and the Surface Laptop Ultra, designed for developers and creative professionals. The Surface RTX Spark Dev Box will cater to AI developers needing local compute power. The new Surface Pro and Surface Laptop, powered by Snapdragon X2 processors, will be available starting June 16, with business options launching on July 14. The Surface Pro 13-inch features up to 53% faster graphics performance, 15.5 hours of battery life, and a 1440p Quad HD camera, priced from 9. The Surface Laptop, starting at 9, offers up to 20 hours of battery life and 58% more graphics performance than previous models. Both devices include vibrant LCD screens and are available in multiple colors. Surface devices are designed for AI workloads, featuring dedicated NPU silicon and robust cloud connectivity. The new touchpad and Slim Pen provide haptic feedback for enhanced user experience. Surface devices prioritize sustainability, with enclosures made from 100% recycled aluminum and ENERGY STAR certification. A new Surface Repair Tool assists users with repairs. Exclusive offers are available for U.S. customers from June 16 to June 30, including complimentary accessories and trade-in savings.

Tech Optimizer

June 14, 2026

Neon vs Supabase 2026: $1B Deal, Scale-to-Zero

Neon and Supabase are two managed PostgreSQL platforms with distinct approaches. Neon adopts a serverless architecture that separates storage and compute, allowing databases to scale to zero when idle and enabling rapid database branching. Supabase, in contrast, provides a comprehensive backend-as-a-service that includes authentication, file storage, real-time subscriptions, and edge functions, all built around PostgreSQL. In 2025, Databricks acquired Neon for approximately billion, motivated by the observation that around 80% of databases created on Neon were generated by AI agents. Post-acquisition, users experienced reduced storage costs and improved pricing structures, although concerns arose regarding Neon's independence. Neon features instant database branching and a scale-to-zero capability, while Supabase offers a fully integrated backend with built-in authentication and storage. Neon operates on a usage-based pricing model, whereas Supabase has a flat-tier pricing structure. Both platforms support the pgvector extension for AI applications, but Supabase is fully open-source and allows for self-hosting, unlike Neon. The developer community recognizes Supabase for its ease of use and rapid application development capabilities, while Neon is praised for its innovative serverless features and cost efficiency. Migration between the two platforms is simplified due to their shared PostgreSQL foundation.

Tech Optimizer

June 11, 2026

As the Agentic Era Reshapes the Data Layer, Enterprises Build Their Sovereign Foundation on EDB Postgres® AI

EnterpriseDB (EDB) has reported a significant increase in global adoption of its EDB Postgres® AI (EDB PG AI) platform, indicating a trend among enterprises to standardize operations on a robust platform for managing mission-critical workloads. Research by MIT Technology Review Insights, in collaboration with EDB, shows that AI and data sovereignty are critical predictors of success in AI initiatives, with organizations prioritizing control over their data achieving a fivefold return on investment. The Industrial Bank of Korea (IBK) transitioned 15 core systems to EDB PG AI for greater operational flexibility and cost efficiency, reducing licensing costs compared to Oracle. Shinhan EZ Insurance migrated its entire core system to the public cloud to ensure uninterrupted service. Other enterprises leveraging EDB PG AI include MNTN, Euronext FX, and Kyobo Book Centre, which have benefited from enhanced stability, reduced vendor risk, and improved compliance. EDB is recognized as a leader in the field and will host a global digital event titled "The Era of Agentic AI Data" on June 25. EDB Postgres® AI is positioned as an open, enterprise-grade sovereign data and AI platform, supporting secure, compliant, and scalable solutions across various environments.

Tech Optimizer

June 9, 2026

Tiger Data Launches Ghost, a Purpose-Built Database Service for the Agentic Era

Tiger Data has launched Ghost, a database service designed specifically for AI agents, addressing the limitations of traditional databases in supporting AI-driven workflows. Ghost allows for isolated environments where agents can experiment without affecting shared resources, offering unlimited Postgres databases with rapid forking capabilities. It features a cost-effective per-query pricing model and includes a free tier with 100 compute hours per month and 1TB of storage. Ghost is compatible with various MCP-enabled agent harnesses and is built on Postgres, providing a familiar operational model for teams. Comprehensive documentation and deployment resources are available at tigerdata.com.

Winsage

June 9, 2026

Hybrid AI Agents, Orchestration, and the Real Reason Microsoft is Fixing Windows 11 ⭐

Over the past weekend, the author reviewed session videos from Build 2026, focusing on Windows 11. The sessions were categorized into three areas: Windows app development, developer productivity, and agentic AI. The introduction of hybrid agents, which combine local AI sub-agents, was a notable development. Microsoft's partnership with Qualcomm led to the launch of Windows 10 on Arm-based PCs branded as Always Connected PCs, which evolved into Copilot+ PCs with Nuvia-powered chips for Windows 11. The Copilot+ PCs emphasize on-device AI experiences through powerful neural processing units (NPUs). The introduction of second-generation Snapdragon X2-based PCs is underway, although adoption is slower than expected. Microsoft confirmed that Windows 11 will integrate AI agents, including local AI agents and hybrid agents. The capabilities of local AI models are being enhanced, and Windows AI APIs will now support CPUs and GPUs. New Nvidia chipsets will enable large language models to run locally on PCs. The orchestration of local and cloud AI components is essential for efficient AI workload management. Microsoft is addressing user pain points to support a robust local foundation for hybrid AI, aiming to improve Windows 11 overall.

Winsage

June 6, 2026

Optimize battery and performance on Windows 11 Pro for modern hardware

Modern laptops are powered by advanced processors like Intel Core Ultra, AMD Ryzen AI, and Snapdragon X, which enhance performance and battery life. Windows 11 Pro plays a crucial role in optimizing these devices by intelligently scheduling workloads between performance and efficiency cores, improving multitasking and responsiveness while conserving energy. Devices running Windows 11 Pro, such as Copilot+ PCs, utilize dedicated Neural Processing Units (NPUs) for AI tasks, enhancing system efficiency. Users can customize power settings in Windows 11 Pro to balance performance and battery longevity, with options like "Balanced" and "Best Performance" modes. Windows 11 allows users to manage startup applications to reduce background activity, improving responsiveness and power usage. The Energy Saver mode helps extend battery life by reducing background activity when on battery power. Regular software updates through Windows Update improve performance and stability, while features like Dynamic Refresh Rate optimize display settings for battery conservation. Windows 11 Pro includes security features that protect devices without hindering performance. Users can assign specific applications to use either integrated or dedicated graphics for optimal performance. Storage Sense automatically cleans up temporary files to maintain system responsiveness.

Tech Optimizer

June 6, 2026

Azure HorizonDB Enters Public Preview: Web IQ Already Powers Copilot and ChatGPT

Microsoft announced the public preview of Azure HorizonDB, a fully managed PostgreSQL-compatible database designed for agentic AI workloads, during Microsoft Build 2026 in San Francisco. HorizonDB features a "database-as-logs" architecture, allowing for sub-millisecond multi-zone commit latency and independent scaling of compute and storage. It incorporates a Rust-based storage engine, native DiskANN vector search, and in-database AI model invocation. Additionally, Microsoft launched Web IQ, a web-grounding API layer integrated into Microsoft Copilot and OpenAI's ChatGPT, which provides passage-level structured evidence objects rather than full documents. Web IQ is model-agnostic and aims to enhance information density and reduce costs. Both services are currently in limited availability, with HorizonDB open for preview signups across five Azure regions.

Tech Optimizer

June 6, 2026

PostgreSQL vs SQL Server 2026: $0 vs $15K License

PostgreSQL has become the most utilized database for developers for two consecutive years as of 2026, while SQL Server has introduced native AI capabilities and vector search functionalities in its latest release. PostgreSQL is favored for new projects due to its permissive licensing, cross-platform operation, and extensive ecosystem of extensions, whereas SQL Server is preferred by organizations already using Microsoft products for its robust tooling and enterprise support. As of June 2026, SQL Server ranks third in the DB-Engines popularity ranking with a score of 698, while PostgreSQL ranks fourth with a score of 688. Developer adoption trends show that 49% of respondents in the Stack Overflow 2024 Developer Survey use PostgreSQL, compared to 27% for SQL Server. The latest stable version of PostgreSQL is 18.4, released on May 14, 2026, while SQL Server 2025 (version 17.x) became generally available on November 18, 2025. PostgreSQL is free under a permissive license, while SQL Server's Enterprise Edition can cost upwards of ,123 per two-core pack, with an eight-core minimum. PostgreSQL supports various operating systems, including Linux, Windows, macOS, and BSD, while SQL Server operates on Windows and Linux. PostgreSQL uses PL/pgSQL as its primary procedural language, allowing for multiple procedural languages, whereas SQL Server uses T-SQL. PostgreSQL's JSONB type offers rich indexing, while SQL Server added native JSON support in its 2025 release. Both databases are capable of handling high transaction volumes, but PostgreSQL excels in read-heavy scenarios due to its multi-version concurrency control, while SQL Server's columnstore indexes provide advantages for analytical workloads. PostgreSQL supports tables up to 32 TB, while SQL Server can handle a maximum database size of 524 PB. SQL Server's high availability technology includes Always On Availability Groups, while PostgreSQL offers built-in streaming and logical replication. The security features of both databases meet enterprise standards, with PostgreSQL providing a transparent patching process and SQL Server integrating with Microsoft tools. Real-world usage examples include Stack Overflow using SQL Server, while Instagram and Reddit utilize PostgreSQL. Developer sentiment increasingly favors PostgreSQL for new projects, emphasizing flexibility and open-source solutions. For new startups or greenfield projects, PostgreSQL is recommended due to its zero license cost and compatibility. Existing Microsoft enterprises are advised to stick with SQL Server for its integration benefits. Migration from SQL Server to PostgreSQL is becoming common, with a structured approach required for successful transitions.