AI workloads

Winsage
January 13, 2026
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 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.
Winsage
January 1, 2026
Microsoft is transitioning its Windows operating system to an "AI-native" platform, embedding AI capabilities directly into the Windows kernel, marking a significant architectural shift not seen in three decades. This new approach, called the "Agentic OS," allows AI to manage files, system settings, and workflows proactively. The updated kernel, partially rewritten in Rust, includes a new NPU-aware scheduler that treats the Neural Processing Unit as a primary resource. Microsoft has introduced "Agent Workspace" and "Agent Accounts" for autonomous agents, ensuring actions are logged and audited for compliance. Communication between agents and the system is facilitated by the Model Context Protocol (MCP). Hardware requirements for the new OS have increased, with benchmarks set for NPUs achieving 80 to 100 TOPS. Major PC manufacturers are adjusting their portfolios to accommodate "Agentic PCs." The competitive landscape is evolving, with companies like Alphabet and Apple developing their own AI-native platforms. The introduction of the AI-native kernel raises privacy and security concerns, with Microsoft implementing measures to restrict third-party access to the kernel. Future updates may include "self-healing" capabilities and "Cross-Device Agency," leading to a more integrated personal AI experience.
Tech Optimizer
December 24, 2025
An open-source toolkit called the pgEdge Agentic AI Toolkit for Postgres has been released in beta to facilitate the development of agentic AI applications on standard PostgreSQL infrastructure. It addresses the challenges of transitioning from prototype applications to production systems that meet enterprise-level standards for database, security, and regulatory compliance. The toolkit supports various deployment environments, including on-premises and self-managed cloud setups, and is particularly useful for organizations requiring high availability, control over data residency, or air-gapped operations. It includes a Model Context Protocol (MCP) Server for secure connections between AI agents and PostgreSQL databases, natural-language agents accessible via CLI and web interfaces, and a suite of Postgres extensions for AI workloads. Key features include automated vector embedding generation, a Retrieval-Augmented Generation (RAG) API server, document ingestion utilities, and hybrid semantic and full-text search. The toolkit is compatible with recent PostgreSQL versions and is fully open source under the Postgres license, with enterprise support for pgEdge subscribers and a managed cloud version expected in early 2026.
Winsage
December 23, 2025
The PC market is experiencing a significant shift in 2025 due to the end of support for Windows 10, which is set for October 5, 2025. Windows 11, launched in 2021, requires a TPM 2 for Secure Boot, limiting compatibility to newer devices. Microsoft is phasing out support for older devices due to security concerns, and while older peripherals may still work, they won't receive updates. Microsoft offers extended support options for Windows 10 users, including continued security updates for home users until October 2026 and an Extended Security Updates subscription for corporate users. The transition has led to increased interest in new PCs with neural processing units (NPU) for AI workloads, with support expanding to Intel and AMD systems. The integration of AI capabilities into PCs is being promoted, although current offerings may not incentivize IT departments to invest in NPU-enabled devices. The end of support for Windows 10 has influenced PC purchasing behaviors, resulting in increased shipments as manufacturers prepare for US tariffs. IT leaders must manage their device ecosystems carefully, as unsupported Windows 10 machines could become targets for cyber threats.
Tech Optimizer
December 18, 2025
AWS has introduced Graviton4-based R8gd instances for Amazon Aurora, which offer significant performance enhancements over Graviton2-based db.r6g instances. Users can expect up to 165% higher throughput, a 120% improvement in price-performance ratio, and an 80% enhancement in application response time. The integration of an Optimized Reads-enabled tiered cache allows for expanded database caching capacity, minimizing network storage access and improving query response times. Organizations like Mindbody and Claroty have reported substantial performance improvements and cost savings after implementing these features. Aurora PostgreSQL 17 has introduced smarter storage batching algorithms and optimized writes, further enhancing performance for I/O-intensive applications. The db.r8gd instances allow for scaling up to 48xl, providing 192 vCPUs, 50 Gigabits of network bandwidth, and 10.4 TiB of local NVMe capacity. The benchmark testing using HammerDB demonstrated significant improvements in throughput, price-performance ratio, and response times when upgrading from db.r6g to db.r8gd instances. The Aurora Optimized Reads-enabled tiered cache is available for Aurora PostgreSQL versions 17.4 and higher, among others.
Tech Optimizer
December 13, 2025
Azure HorizonDB is a managed database service announced at the Microsoft Ignite conference, designed for enterprise workloads and compatible with Postgres. It supports up to 3072 vCores and accommodates databases up to 128TB with sub-millisecond multi-zone commit latencies. The service features AI Model Management for enhanced vector search speeds, utilizing advanced DiskANN filtering. HorizonDB's architecture focuses on upstream compatibility and disaggregated storage to improve performance, reducing commit latencies and accelerating failovers. It complements existing managed PostgreSQL solutions from Microsoft and is optimized for AI workloads. HorizonDB is currently in early preview in select regions.
Tech Optimizer
December 2, 2025
MongoDB has criticized PostgreSQL for its scalability issues with AI workloads, as stated by CEO Chirantan Desai. He noted a customer's switch from PostgreSQL to MongoDB due to these challenges. Following MongoDB's positive earnings report, its share price rose by 23%. The company reported .3 million in revenue for Q3 FY 2026, a 19% increase from the previous year, while operational losses decreased from [openai_gpt model="gpt-4o-mini" prompt="Summarize the content and extract only the fact described in the text bellow. The summary shall NOT include a title, introduction and conclusion. Text: MongoDB's Competitive Stance in the Evolving Database Landscape In a bold move amidst the ever-changing database ecosystem, MongoDB has taken a critical stance against its rival, PostgreSQL, asserting that the latter struggles with scalability in the context of AI workloads. CEO Chirantan Desai leveraged the recent positive earnings results for the quarter ending October 31 to voice these concerns, particularly as PostgreSQL has surged in popularity among developers in recent years. During a discussion with investment analysts, Desai emphasized MongoDB's capabilities as a foundational platform for AI applications, although he acknowledged it was premature to declare it the definitive choice. He highlighted a recent case where a customer transitioned from PostgreSQL to MongoDB, citing scalability issues as the driving factor behind their decision. Following the announcement, MongoDB's share price experienced a notable 23% increase on Tuesday morning, buoyed by revenue figures that surpassed investor expectations. The company reported 8.3 million in revenue for Q3 FY 2026, marking a 19% increase compared to the same quarter last year, while operational losses narrowed from .9 million to .4 million. Desai's remarks may stem from PostgreSQL's growing influence, a relational database system that has been around since the 1980s and has recently gained traction in the developer community. By 2023, PostgreSQL emerged as the most favored database among professional developers, as indicated by the Stack Overflow survey. This shift followed PostgreSQL's ascent in the DB-Engines ranking since 2016, which evaluates databases based on various metrics, including online discussions and job postings. In response to Desai's claims, Barclays Bank analyst Raimo Lenschow posed a question regarding developer engagement in light of the "PostgreSQL narrative" prevalent in Silicon Valley. Desai countered by referencing a "super-high growth AI company" that faced scalability challenges with PostgreSQL, ultimately opting for MongoDB. PostgreSQL's rise can be attributed to the robust database services offered by major cloud providers, which have faced scrutiny over reliability. Nevertheless, several PostgreSQL-compatible services with distributed architectures, such as CockroachDB, pgEdge, and YugabyteDB, have emerged to address these reliability concerns. Moreover, PlanetScale, known for its distributed MySQL service built on the YouTube-developed Vitess, has recently introduced a PostgreSQL service. Microsoft has also entered the fray with its new distributed PostgreSQL database service, HorizonDB, designed to compete with other hyperscaler systems and third-party RDBMS solutions like CockroachDB and YugabyteDB. Microsoft claims that HorizonDB, which offers full compatibility with open-source PostgreSQL, features a new storage layer that enhances performance, scalability, and availability compared to its existing PostgreSQL offerings. This service stands alongside distributed PostgreSQL solutions from Google (AlloyDB) and AWS (Aurora DSQL). In a further twist, Microsoft has developed a document database platform intended to rival MongoDB, built on a relational PostgreSQL backend and utilizing FerretDB as a front-end interface with a document database protocol. Faced with such formidable competition, MongoDB is compelled to defend its platform not solely on the basis of scalability but also regarding its reliability for enterprise workloads—an area where it has long asserted its readiness. While Desai's critiques of PostgreSQL may resonate, he must tread carefully in highlighting the strengths of his own platform amidst a rapidly evolving landscape." max_tokens="3500" temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" frequency_penalty="frequency_penalty"].9 million to [openai_gpt model="gpt-4o-mini" prompt="Summarize the content and extract only the fact described in the text bellow. The summary shall NOT include a title, introduction and conclusion. Text: MongoDB's Competitive Stance in the Evolving Database Landscape In a bold move amidst the ever-changing database ecosystem, MongoDB has taken a critical stance against its rival, PostgreSQL, asserting that the latter struggles with scalability in the context of AI workloads. CEO Chirantan Desai leveraged the recent positive earnings results for the quarter ending October 31 to voice these concerns, particularly as PostgreSQL has surged in popularity among developers in recent years. During a discussion with investment analysts, Desai emphasized MongoDB's capabilities as a foundational platform for AI applications, although he acknowledged it was premature to declare it the definitive choice. He highlighted a recent case where a customer transitioned from PostgreSQL to MongoDB, citing scalability issues as the driving factor behind their decision. Following the announcement, MongoDB's share price experienced a notable 23% increase on Tuesday morning, buoyed by revenue figures that surpassed investor expectations. The company reported 8.3 million in revenue for Q3 FY 2026, marking a 19% increase compared to the same quarter last year, while operational losses narrowed from .9 million to .4 million. Desai's remarks may stem from PostgreSQL's growing influence, a relational database system that has been around since the 1980s and has recently gained traction in the developer community. By 2023, PostgreSQL emerged as the most favored database among professional developers, as indicated by the Stack Overflow survey. This shift followed PostgreSQL's ascent in the DB-Engines ranking since 2016, which evaluates databases based on various metrics, including online discussions and job postings. In response to Desai's claims, Barclays Bank analyst Raimo Lenschow posed a question regarding developer engagement in light of the "PostgreSQL narrative" prevalent in Silicon Valley. Desai countered by referencing a "super-high growth AI company" that faced scalability challenges with PostgreSQL, ultimately opting for MongoDB. PostgreSQL's rise can be attributed to the robust database services offered by major cloud providers, which have faced scrutiny over reliability. Nevertheless, several PostgreSQL-compatible services with distributed architectures, such as CockroachDB, pgEdge, and YugabyteDB, have emerged to address these reliability concerns. Moreover, PlanetScale, known for its distributed MySQL service built on the YouTube-developed Vitess, has recently introduced a PostgreSQL service. Microsoft has also entered the fray with its new distributed PostgreSQL database service, HorizonDB, designed to compete with other hyperscaler systems and third-party RDBMS solutions like CockroachDB and YugabyteDB. Microsoft claims that HorizonDB, which offers full compatibility with open-source PostgreSQL, features a new storage layer that enhances performance, scalability, and availability compared to its existing PostgreSQL offerings. This service stands alongside distributed PostgreSQL solutions from Google (AlloyDB) and AWS (Aurora DSQL). In a further twist, Microsoft has developed a document database platform intended to rival MongoDB, built on a relational PostgreSQL backend and utilizing FerretDB as a front-end interface with a document database protocol. Faced with such formidable competition, MongoDB is compelled to defend its platform not solely on the basis of scalability but also regarding its reliability for enterprise workloads—an area where it has long asserted its readiness. While Desai's critiques of PostgreSQL may resonate, he must tread carefully in highlighting the strengths of his own platform amidst a rapidly evolving landscape." max_tokens="3500" temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" frequency_penalty="frequency_penalty"].4 million. PostgreSQL has gained popularity among developers, becoming the most favored database in 2023 according to a Stack Overflow survey, and has seen a rise in the DB-Engines ranking since 2016. Major cloud providers have introduced PostgreSQL-compatible services to address reliability concerns, including Microsoft's new distributed PostgreSQL service, HorizonDB, which claims improved performance and scalability. Microsoft is also developing a document database platform to compete with MongoDB.
Winsage
November 26, 2025
Dell's outlook for the upcoming year indicates steady PC sales, with COO Jeffrey Clarke noting challenges in completing the Windows 11 transition, lagging behind previous transitions by 10 to 12 percentage points, affecting around 500 million PCs. Despite this, Clarke expressed optimism for the PC market, predicting "roughly flat" sales after mid-to-high single-digit growth in the past year. Dell secured orders totaling .3 billion for AI servers and shipped products valued at .6 billion in the quarter ending October 31st, with server and networking revenue increasing by 37 percent year-over-year. There is growing interest in traditional servers, driven by the need for efficient configurations, but rising costs for RAM and NAND present challenges. Dell reported .6 billion in revenue for the latest quarter, an 11 percent year-over-year increase, and anticipates revenues of .5 billion in Q4 and .7 billion for FY 2026, with significant growth expected from server sales as many customers still use older server models.
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