datacenter Archives

Winsage

August 24, 2026

AI vendors are turning to custom hardware as Microsoft winds back the clock on Windows

This week, insights into datacenter technology reveal a shift in GPU dominance, with companies exploring alternatives. Cerebras, founded by Andrew Feldman, has developed chips the size of dinner plates that contain 44 gigabytes of ultra-fast SRAM, circumventing high-bandwidth memory supply constraints. In 2024, Cerebras launched an inference server that processes tokens faster than any GPU configuration, utilizing structured sparsity and partnering with AWS and AMD. The latest Cerebras chips, CS-4 systems, feature a modular architecture that doubles performance and bandwidth. Google is also moving towards custom silicon with its Tensor Processing Units (TPUs), while Marvell competes with Broadcom in providing IP for custom chips. Waymo announced a custom machine learning accelerator for its autonomous vehicles to enhance compute density and address limitations of previous FPGA use. On the software side, Microsoft is reintroducing the ability to move the taskbar in Windows 11, responding to user feedback after nearly five years. This change reflects Microsoft's focus on user experience amid competition from alternatives like macOS and Linux.

Winsage

August 17, 2026

Windows Server 2022 reaches end of mainstream support in 60 days

Microsoft has announced that the mainstream end date for Windows Server 2022 is set for October 13, 2026, after which it will enter extended support until October 14, 2031. Windows Server 2022 became generally available in September 2021 and is part of the Long-Term Servicing Channel (LTSC) offering, which guarantees a decade of support. Microsoft recommends upgrading to Windows Server 2025, which will be generally available in November 2024, and will reach its end of support on November 13, 2029, with five years of extended support until November 14, 2034. A free 180-day trial of Windows Server 2025 is available. Additionally, hotpatching for Windows Server 2022 will be extended until October 2027 for Datacenter: Azure Edition systems. The free Windows 10 Extended Security Updates (ESU) program has been extended by an additional year, and Windows 11 23H2 Enterprise and Education editions will end updates on November 10, 2026, with a recommendation to upgrade to Windows 11 25H2.

Winsage

August 15, 2026

Windows 11 24H2, Windows Server 2022, Windows 10 Ent. LTSB 2016 get 60-day cut off warnings

Microsoft has issued a 60-day notice regarding the end-of-life dates for several products, following a previous 90-day warning. Mainstream support for Windows Server 2022 will end on October 13, 2026, affecting all editions. Users of Windows 11 version 24H2 Home and Pro, as well as Windows 10 Enterprise LTSB 2016, will stop receiving updates. Microsoft recommends upgrading to Windows Server 2025, with an extended support phase lasting until October 14, 2031, for those unable to upgrade immediately. Windows 11 version 24H2 users must upgrade to version 25H2 to continue receiving updates, while Enterprise and Education variants will have a grace period until October 2027. Organizations using Windows 10 Enterprise LTSB 2016 should transition to Windows 11 Enterprise LTSC 2024, with Extended Security Updates available for purchase for those who remain on the older system. A 180-day evaluation build of Windows Server 2025 can be downloaded for compatibility testing.

Winsage

July 18, 2026

Windows Server 2022 reach end of mainstream support in 90 days

Windows Server 2022 will end its mainstream support on October 13, 2026, transitioning to an extended support phase that will last until October 14, 2031, during which security updates will be provided at no additional cost. Windows Server 2022 was released in September 2021 and is part of the Long-Term Servicing Channel (LTSC) with a decade of support. Microsoft recommends upgrading to Windows Server 2025, which became generally available in November 2024 and will have mainstream support until November 13, 2029, and extended support until November 14, 2034. A 180-day trial for Windows Server 2025 is available through the Microsoft Evaluation Center. Additionally, hotpatching for Windows Server 2022 will be extended until October 2027 for Datacenter: Azure Edition systems, and the free Windows 10 Extended Security Updates program has been extended by one year. Windows 10 Enterprise LTSB 2016 and Windows 11 24H2 will stop receiving updates three months after their end of support.

Winsage

June 29, 2026

Microsoft keeps Windows Server 2022 hotpatching alive into 2027

Microsoft has extended the availability of Windows Server 2022 hotpatching until 2027, specifically for the Windows Server 2022 Datacenter: Azure Edition. Mainstream support for Windows Server 2022 will end on October 13, 2026, while extended support will last until October 14, 2031. Hotpatching allows administrators to apply security updates without server downtime, although quarterly cumulative updates requiring a reboot will still occur. This feature is exclusive to Azure Edition users, with no similar support for on-premises users of Windows Server 2022. Additionally, hotpatch updates are being introduced for Windows 11 24H2 Enterprise clients and are now the default for Windows Autopatch.

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 2, 2026

Build 2026: Microsoft Optimizes Windows 11 for Developers

Microsoft unveiled a series of enhancements for developers at Build 2026, aiming to retain its existing developer base and attract new ones to Windows 11. Key offerings include: - Windows Developer Configuration: A feature that creates a distraction-free environment for software development, now generally available. - Windows Developer Skills: Introduction of WinApp CLI with AI agents for creating native Windows applications, also generally available. - Terminal Improvements: An experimental preview of an Intelligent Terminal mode that features a dual-pane display. - Enhanced Linux Capabilities: Windows Subsystem for Linux (WSL) will support containers in public preview and has native support for Coreutils, now generally available. - Agentic Capabilities: Microsoft Execution Containers (MXC) SDK in early preview, allowing resource specification for agents, with integration for security protections. - On-device AI: Introduction of Aion 1.0 Instruct and Aion 1.0 Plan for local AI tasks, with a preview available through Edge Insider channels and an open-source model expected in July. - Surface RTX Dev Box: A desk-based datacenter focused on AI capabilities set to launch later this year.

Tech Optimizer

May 30, 2026

Postgres and Data Sovereignty Address Datacenter Energy Crisis

Lizzy Nguyen from EDB discusses the relationship between Postgres, data sovereignty, and energy constraints in datacenters. Local opposition to hyperscale datacenter constructions in the US is growing, highlighting energy consumption and regulatory challenges. AI-driven datacenters currently account for about 1.5% of global electricity consumption, projected to rise to nearly 3% by 2030 according to the International Energy Agency (IEA). Datacenter expenditures are expected to grow through 2029, with significant complexities in constructing necessary infrastructure for the first billion AI agents, which may take up to seven years. Data sovereignty and localized deployments are emerging as strategic responses to energy constraints, impacting deployment architecture and cost models for operators.

Tech Optimizer

May 30, 2026

AI and data sovereignty in Postgres: An answer to the datacenter energy crisis

This year has seen significant developments in datacenter expansion across various regions, including Arkansas, Southern California, Nevada, Pennsylvania, West Virginia, and Box Elder, Utah, with localities concerned about energy consumption and infrastructure demands. In the UK, OpenAI's "Stargate UK" initiative has faced challenges due to energy consumption and regulatory scrutiny. New hyperscale datacenters often face grid-connection delays of up to seven years, and global spending on datacenters could reach one trillion by 2030. AI-driven datacenters currently account for about 1.5% of global electricity consumption, projected to rise to nearly 3% by 2030. The urgency for additional datacenters near energy sources is increasing, with IDC forecasting one billion agents executing 217 billion daily actions by 2029. 95% of global enterprises plan to develop their own AI and data platforms within the next 780 days. The BFSI sector typically allocates 6-12% of revenue to IT spending, compared to 3-5% in other industries. Only 13% of enterprises leveraging AI focus on control, efficiency, and sustainability in their data strategies. Leading BFSI organizations are committing to carbon neutrality and developing sovereign AI and data platforms. EDB Postgres AI aims to enhance energy efficiency in datacenters, potentially reducing energy consumption by up to 81% and emissions by 87%. Organizations adopting this model can achieve a fivefold return on investment and improved operational control.

Tech Optimizer

May 22, 2026

AI Data Platform Modernization in Financial Services | Microsoft Azure PostgreSQL | The Microsoft Cloud Blog

Financial service institutions are increasingly exploring AI applications to alleviate operational burdens and gain a competitive edge, but face challenges with legacy data infrastructures that may not meet modern demands. The need for continuous availability and compliance is critical, as even brief downtime can have catastrophic consequences. Aging databases struggle with high-volume transactions and real-time analytics, prompting a focus on predictive maintenance and infrastructure automation. Microsoft Azure's PostgreSQL managed services, including Azure Database for PostgreSQL, address these challenges by providing flexible performance scaling and ensuring high availability. The service can trigger automatic failover within 60 to 120 seconds during outages, guaranteeing up to a 99.99% availability SLA. It supports read replicas for offloading analytics without impacting primary database performance and offers layered security controls, including encryption at rest and network isolation. Azure Database for PostgreSQL simplifies compliance with standards such as PCI DSS and SOC by enabling centralized identity and access management through Microsoft Entra ID authentication. It integrates seamlessly with the Microsoft ecosystem, allowing organizations to connect data to analytics and AI services without complex ETL processes. BNY Mellon successfully modernized its data platform by migrating to Azure Database for PostgreSQL in nine months, achieving improved resilience and allowing engineering teams to focus on innovation. The platform supports high availability, backup capabilities, and extensibility, empowering financial institutions to remain innovative in the era of AI.