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Jensen Huang remembers Windows early days, crediting Microsoft, says that 'Nvidia was founded because of Windows'; CEO Satya Nadella jokes: If you could just do a little transfer of...
Winsage
October 9, 2026

Jensen Huang remembers Windows early days, crediting Microsoft, says that ‘Nvidia was founded because of Windows’; CEO Satya Nadella jokes: If you could just do a little transfer of…

Nvidia CEO Jensen Huang stated that Nvidia was founded due to the introduction of Windows 3.1 in 1992, which laid the groundwork for GPUs. He highlighted that Windows 95 and DirectX allowed for the integration of GPUs into PCs, with DirectX 8 enabling the creation of the first programmable GPU featuring programmable shaders, leading to CUDA. Huang emphasized that without Windows, there would be no GeForce, and consequently, AI researchers might not have had the necessary computational resources for deep learning. The conversation also touched on a four-year collaboration between Nvidia and Microsoft that resulted in the RTX Spark project, which required over 4,000 engineering years and extensive testing across more than 1,200 applications. Laptops featuring RTX Spark are available for preorder, with shipments starting on October 16.
How to watch the Microsoft Windows and Surface event
Winsage
October 7, 2026

How to watch the Microsoft Windows and Surface event

Microsoft is set to unveil the Surface Laptop Ultra at a Windows and Surface event in San Francisco on a date scheduled for 10 AM PT (1 PM ET). The event will focus on how local AI will influence the future of PCs, particularly following mixed feedback on the previous Copilot implementation. This is Microsoft's first laptop-centric event in two years, featuring speakers like NVIDIA CEO Jensen Huang and Microsoft CEO Satya Nadella. The Surface Laptop Ultra will utilize NVIDIA's RTX Spark superchip, which offers 1 petaflop of AI computing power. Pricing details for the laptop are expected to be revealed during the event. Microsoft has confirmed that there will be no new operating system until at least 2026, focusing instead on enhancements to Windows 11.
Databricks' Electric acquisition adds embeddable PostgreSQL
Tech Optimizer
August 14, 2026

Databricks’ Electric acquisition adds embeddable PostgreSQL

Databricks has acquired ElectricSQL, a startup specializing in PostgreSQL database capabilities, to enhance its offerings by extending PostgreSQL functionalities to edge devices. The acquisition, announced on August 11, aims to streamline operations for AI agents by allowing local data access. ElectricSQL has developed PGlite, a lightweight WebAssembly version of PostgreSQL for faster data access and real-time synchronization. This acquisition follows Databricks' earlier integration of PostgreSQL capabilities through the acquisition of Neon in May 2025. The founders of Electric, James Arthur and Kyle Matthews, will join Databricks. PostgreSQL has become the most popular open-source database by 2024, recognized for its versatility in handling diverse data types. Databricks' acquisition strategy also includes previous acquisitions like Neon and MosaicML, aimed at enhancing its AI development tools.
silver Android smartphone
Tech Optimizer
August 12, 2026

Databricks Acquires Electric to Give AI Agents Their Own Local Postgres

Databricks has acquired Electric, a company known for its contributions to the Postgres ecosystem, including PGlite, a compact version of Postgres for WebAssembly environments. This acquisition includes a real-time synchronization engine that keeps local data copies consistent with a central cloud database. Electric's team will join Neon, a serverless Postgres company previously acquired by Databricks. The integration aims to enhance Lakebase, Databricks' managed Postgres offering, by using PGlite for local data management. PGlite's weekly downloads surged from approximately 1 million to 13 million over the past year, indicating growing developer interest in embedded database models. The acquisition reflects a shift towards decentralized data management for AI agents, with synchronization mechanisms becoming crucial. Databricks is reinforcing its investment in Neon, signaling a deeper relevance of its Postgres offerings. The increase in PGlite downloads suggests early developer interest in local-first database architectures, though widespread production adoption remains uncertain. The emergence of state, identity, payments, isolation, and sync as infrastructure components indicates a competitive landscape for the agent runtime layer, with Databricks strategically positioned in this race.
EDB Postgres AI Launch: Shifting To Autonomous, Sovereign Data For The AI Era
Tech Optimizer
June 26, 2026

EDB Postgres AI Launch: Shifting To Autonomous, Sovereign Data For The AI Era

EnterpriseDB (EDB) introduced the EDB Postgres AI (EDB PG AI) platform on June 23, 2026, designed for AI applications to operate directly on live data rather than outdated copies from cloud data lakes. The platform allows organizations to host AI models, live data, and enterprise regulations within their infrastructure, reducing vendor lock-in and protecting regulated data. The EDB PG AI platform features a self-optimizing system that transforms PostgreSQL into an autonomous database, monitoring over 200 metrics for automated tuning and scaling. EDB claims performance troubleshooting can be up to 10 times faster, with issues resolved in minutes instead of the traditional 60 to 90 minutes. It also includes a converged query interface that integrates various data types into a unified engine, enabling AI agents to access authorized live data. An agent governance framework will be introduced in late 2026 to address risks associated with AI operations. EDB collaborates with IBM Power for a robust AI-ready infrastructure and integrates Red Hat Ansible Automation Platform for enhanced management capabilities.
Neoclouds, sovereign AI and Postgres: The new operating model for regulated enterprises
Tech Optimizer
June 20, 2026

Neoclouds, sovereign AI and Postgres: The new operating model for regulated enterprises

Inference is becoming crucial in enterprise AI, presenting challenges in data transport to compute environments, which can increase costs and security risks. Enterprises aim to maintain data integrity and avoid multiple copies. Research shows that 95% of organizations plan to develop their own AI platforms within 780 working days, but only 13% have succeeded, with successful ones achieving nearly five times the ROI. Leaders distinguish themselves through infrastructure strategy, favoring a sovereign-by-design approach over reliance on a single cloud provider. Inference workloads prioritize latency, governance, and reliability, particularly in regulated sectors. Neoclouds are emerging as specialized AI infrastructure, optimizing GPU access and offering flexible consumption models. Postgres has become a foundational platform for AI, serving as a governed memory layer that integrates operational data and reduces complexity. Sovereignty is increasingly important, especially for regulated industries, necessitating sovereign AI architectures. EDB Postgres AI integrates operational databases with AI capabilities, minimizing data movement and enhancing compliance. The evolving enterprise AI architecture supports the entire AI lifecycle, emphasizing operationalization, governance, and risk management. Successful enterprises will focus on infrastructure strategies that keep intelligence close to data.
Nvidia and Microsoft bring frontier AI compute to Windows
Winsage
June 1, 2026

Nvidia and Microsoft bring frontier AI compute to Windows

Nvidia, in collaboration with Microsoft, has introduced two AI products for Windows that bring data-centre-class capabilities to the desktop. The Nvidia DGX Station for Windows, powered by the GB300 Grace Blackwell Ultra Desktop Superchip, can run models with up to one trillion parameters locally. This development allows professionals to utilize powerful AI tools without relying on cloud infrastructure.
Scoop: First Windows PCs powered by Nvidia chips to debut next week
Winsage
May 30, 2026

Scoop: First Windows PCs powered by Nvidia chips to debut next week

Nvidia will unveil its first Windows computers featuring its chips as primary processors next week. The collaboration between Nvidia and Microsoft will be showcased at the Computex trade show in Taiwan and Microsoft's Build developer conference in San Francisco. Nvidia-powered PCs are expected from Microsoft's Surface brand and other manufacturers, including Dell. Microsoft will also introduce software for local AI agent operations on Windows computers. Nvidia has been eyeing the PC processor market, and its entry could benefit itself, Microsoft, and rivals like Qualcomm.
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