AI processing Archives

Tech Optimizer

July 2, 2026

EDB Named a Leader in Multimodel Data Platforms Evaluation

EDB has been recognized as a Leader in The Forrester Wave: Multimodel Data Platforms, Q2 2026, with EDB Postgres AI (EDB PG AI) achieving the highest scores in Vision, Innovation, Roadmap, and Partner Ecosystem criteria. EDB PG AI integrates transactional, analytical, and AI workloads into a unified platform, supporting open-source frameworks and enabling various deployment options. The platform features governance at the data layer and is designed for operational efficiency, allowing organizations to implement sovereign AI quickly. EDB PG AI can be deployed on-premises, in hybrid environments, or across cloud infrastructures, backed by partnerships with companies like Dell, IBM, and NVIDIA.

Tech Optimizer

June 26, 2026

EDB launches agentic Postgres AI with governance tools

EDB has introduced new features for its Postgres AI platform, including an agentic database and converged analytics capabilities, allowing enterprises to run AI agents alongside transactional workloads on a unified PostgreSQL foundation. The platform includes governance tools that position control mechanisms at the data layer and integrates AI processing with operational data, enabling businesses to connect live records with AI systems without transferring sensitive information. The agentic database can monitor over 200 metrics, identify issues, suggest changes, and apply fixes automatically based on user-defined policies. It consolidates various data types through a single SQL interface, significantly accelerating database tuning processes and enhancing application performance. EDB has also expanded its analytics capabilities with a zero-ETL architecture for real-time analysis and large-scale warehousing. EDB PG AI for ClickHouse targets real-time analysis, while EDB PG AI for WarehousePG focuses on historical analysis at petabyte scale. The platform claims up to 30 times faster query performance compared to legacy systems and improved scaling efficiency. EDB's platform integrates vector search and retrieval for AI agents, demonstrating lower query latency and higher retrieval accuracy than competitors. NTT East is using EDB PG AI for AI-driven network operations, while the governance feature manages agent access at the data querying point using native Postgres roles and row-level security. The platform can be deployed on-premises, in hybrid environments, or across cloud infrastructures, with partnerships including Dell, IBM, Nvidia, Red Hat, and Supermicro.

AppWizard

June 19, 2026

Pixel Screenshots just moved away from using on-device AI only, but is it less private?

The Pixel Screenshots app has transitioned from relying solely on on-device AI to a hybrid model that incorporates cloud processing. The latest update, version 1.26.134.11, reflects this change by revising the app's settings to indicate that AI processing may occur on-device or in the cloud. Google emphasizes that user privacy will be prioritized, utilizing a “secure, isolated environment” for processing. The update is currently rolling out and may not yet be available to all users in the Play Store.

Winsage

June 12, 2026

Microsoft tests Windows AI features on RTX GPUs, not just NPUs

Microsoft is expanding the availability of its Copilot+ features to users with Nvidia RTX GPUs, allowing older PCs to utilize advanced AI tools such as text summarization, image upscaling, and code generation. This change is facilitated by the experimental release of the Windows App SDK 2.2, which enables AI functionalities to run on dedicated Nvidia RTX GPUs. Features include text rewriting, editing, and advanced capabilities in the Microsoft Photos app. Users must download the experimental version of WinAppSDK 2.2, have an Nvidia GeForce RTX 30 series GPU with at least 6GB of VRAM, and enable Developer Mode on their PC. This shift reflects a broader strategy to leverage local AI models while still using cloud resources, aiming to democratize access to AI capabilities across a wider range of devices.

Winsage

June 7, 2026

Windows 11’s June 2026 Update Lands June 9 With Shared Audio And NPU Monitoring: The 6 Features Worth Knowing

Microsoft will begin rolling out the June 2026 update for Windows 11 on June 9, 2026. Key features include Shared Audio, which allows two users to listen to the same audio output from one device using a new Low Latency audio profile, and NPU monitoring in Task Manager, enabling users to track AI processing handled by the neural processing unit. The update also introduces multi-app camera streaming, custom account folder naming during setup, and various enhancements to Settings, Windows Hello, USB functionality, battery management, and personalization options.

Winsage

June 6, 2026

This is how RTX Spark and Windows will finally make AI agents practical for your PC

Nvidia is developing the RTX Spark, a powerful chip that integrates AI agents into consumer PCs, in collaboration with Microsoft. This chip features a CPU and an RTX 5070-class GPU, providing 1 petaflop of computing power and up to 128GB of unified memory, enabling sophisticated AI agents to operate directly on devices without the need for dedicated AI PCs or cloud services. Windows will introduce new security frameworks to facilitate the use of AI agents, addressing previous limitations that hindered their effectiveness on PCs. Users will be able to delegate complex tasks to AI agents, which can learn from interactions and adapt to individual workflows, enhancing the computing experience. However, challenges such as market demand, compatibility issues, and competition from other companies may impact the success of the RTX Spark.

Winsage

June 2, 2026

Nvidia unveils DGX Station for Windows AI workstations

NVIDIA has launched the DGX Station for Windows, a deskside system designed for extensive AI workloads on Windows machines, marking a shift from traditional Linux-based systems. It features the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip, capable of executing AI models with up to 1 trillion parameters. The system supports model training, fine-tuning, inference, data science, and multi-agent development, allowing hundreds of agents to run concurrently. A key feature is the NVIDIA OpenShell on Windows, which provides a secure runtime environment for autonomous agents. The DGX Station integrates with existing enterprise management frameworks and extends Windows security and compliance tools. Its hardware architecture includes a Blackwell Ultra GPU, a 72-core Grace CPU, up to 748GB of coherent memory, and networking capabilities of up to 800Gb/s. It is designed for individual specialists or collaborative teams and can be paired with an NVIDIA RTX PRO 6000 Blackwell Workstation GPU. The DGX Station will be available through vendors like ASUS, Dell Technologies, GIGABYTE, HP, MSI, and Supermicro.

Winsage

June 2, 2026

Microsoft, Nvidia launch RTX Spark Windows AI PC lineup

Microsoft and Nvidia have launched a new series of Windows PCs powered by the Nvidia RTX Spark platform, featuring devices from manufacturers like Surface, Asus, Dell, HP, Lenovo, and MSI. The RTX Spark platform delivers up to 1 petaflop of AI performance, with up to 20 Arm-based CPU cores, 6,144 Blackwell RTX cores, and 128GB of unified memory. Microsoft has optimized Windows for this architecture, enhancing scheduling, power management, and memory handling. The new workload profile scheduling feature optimizes task distribution across the cores, while the Microsoft Power and Thermal Framework improves performance, battery life, and heat management. Windows' support for unified memory has been enhanced, allowing for larger AI models and demanding creative tasks. Microsoft's Prism emulator for x86 applications has been optimized for RTX Spark systems, improving compatibility and speed. Creative applications like Blender, DaVinci Resolve, and Adobe Photoshop are supported, along with MATLAB for technical users. Gaming support includes native anti-cheat software and compatibility with popular titles such as League of Legends and Valorant. The new systems are categorized under Microsoft's Copilot+ PC line, which combines AI processing with enhanced graphics capabilities. Devices showcased include Microsoft's Surface Laptop Ultra and models from Asus, Dell, HP, Lenovo, and MSI. Microsoft also plans to scale Windows to the Nvidia DGX Station for Windows, enabling larger AI models and workstation-class workloads. The initiative aims to unify AI workloads across consumer PCs, creator laptops, and workstations, allowing users to run larger models locally and integrate AI computing into their workflows.

Winsage

June 1, 2026

Introducing a powerful new chapter for Windows PCs, accelerated by NVIDIA RTX Spark

At NVIDIA's GTC event, Microsoft and NVIDIA announced a collaboration to launch powerful thin-and-light Windows PCs enhanced by NVIDIA RTX Spark technology, aimed at developers, creators, and power users for AI applications. The new PCs feature RTX Spark with 1 petaflop of AI performance, up to 6144 Blackwell RTX cores, 20 power-efficient Arm architecture cores, and up to 128GB of unified memory. Microsoft implemented workload profile scheduling (WPS) to optimize task distribution across cores and introduced the Microsoft Power and Thermal Framework (MPTF) for improved power efficiency. The Prism emulator has been optimized for these PCs, ensuring smooth operation of x86 applications. Microsoft is also enhancing Windows 11's performance and reliability, with a focus on securely building and running AI agents. A range of RTX Spark-powered devices will be available from manufacturers like Microsoft Surface, ASUS, Dell, HP, Lenovo, and MSI starting this Fall. The Surface Laptop Ultra is specifically designed for creators, while other models from ASUS, Dell, HP, Lenovo, and MSI also emphasize AI performance. Additionally, Microsoft and NVIDIA are scaling Windows to NVIDIA DGX Station, which will feature the NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip for advanced AI workloads.

Winsage

May 31, 2026

First Windows PCs powered by Nvidia chips expected next week: Report

Nvidia is set to reveal its first Windows computers powered by its own chips at the Computex trade show in Taiwan and Microsoft’s Build developer conference in San Francisco. The initial models are expected to come from Microsoft’s Surface brand and Dell. Alongside the hardware launch, Microsoft plans to introduce software to simplify AI operations on Windows machines. Nvidia has been working to enter the PC processor market, previously known for its graphics chips. Microsoft aims to realign Windows with AI, following challenges with its initial AI PC initiative, Copilot+ PC. The company is now focusing on AI agents for local PCs and has established a team called OpenClaw for this purpose. Nvidia's entry into the PC market could benefit both itself and Microsoft, as well as Qualcomm, which has struggled to gain a significant share of the PC market despite its advantages.