Baidu’s Q2 2026 earnings reveal a 4% revenue dip and a 68% profit plunge, but more importantly mark the first time AI‑related services account for half of total revenue, highlighting a strategic shift from a search‑centric model to an AI‑driven growth engine despite short‑term profit pain.
The article analyzes how the rise of AI agents transforms data platforms from simple storage and query engines into AI‑native systems that provide trustworthy, real‑time context for autonomous decision‑making, outlining the three‑layer evolution of storage, compute, and application and the architectural upgrades required for modern data lakes.
A hurried snapshot‑sharing command set public=true, unintentionally exposing customer data to all tenants, leading to a panic‑filled rollback, a painful post‑mortem, and a series of hard‑earned lessons about avoiding manual high‑risk operations, enforcing audit controls, and demanding productized UI for cloud infrastructure tasks.
The article analyzes SAP’s tight budgeting and ecosystem opening alongside Oracle’s massive AI‑infrastructure gamble, showing how both strategies reflect AI‑driven market pressure, risk‑laden shifts in business models, and the accelerating demise of the traditional high‑margin enterprise‑software era.
The 2026 WAIC showcased over 200 robot firms, but the real competition now hinges on who can build a closed‑loop physical AI system that continuously captures, learns from, and deploys real‑world experience at scale, a challenge JD.com is tackling with its JoyAI ecosystem.
This article explains the serverless execution model, compares major providers such as AWS Lambda, Vercel Functions, and Cloudflare Workers, and offers practical code examples and cold‑start mitigation techniques for building and operating serverless applications.
A CTO discovers a three‑fold surge in AI model token bills with no clear usage breakdown, prompting a deep dive into Tencent Cloud's AI Gateway, which offers multi‑dimensional quota governance, real‑time cost monitoring, semantic caching, and a unified cost‑management dashboard to make every token expense transparent and controllable.
Azure Linux 4.0, now in public preview with a downloadable ISO, builds on Fedora and adds deep Azure‑specific optimizations, SELinux defaults, and Hyper‑V tuning, prompting a debate on whether it can eventually replace Windows Server while still being positioned mainly for evaluation and testing.
The article examines Xpeng Motors' cloud‑native AI strategy, detailing its 10‑thousand‑GPU cluster with over 95% utilization, AI‑powered digital employees in customer service and finance, AI Coding acceleration, and global 10 EFLOPS compute infrastructure that sustains high‑traffic car launches.
After 34 years at Microsoft, Julia Liuson—who oversaw Visual Studio, .NET, VS Code, TypeScript and Azure—will leave her role as head of the developer division, transitioning to an advisory position while the company continues its open‑source and cloud‑first strategy.
The article examines the rapid rise of one‑person companies, explains how AI boosts individual productivity yet leaves product validation and infrastructure selection unresolved, and presents a detailed case study of the "时踪" desktop agent to illustrate how mature cloud toolkits can enable efficient development, deployment, and scaling for solo founders.
The article analyzes Tianyi Cloud's transition from labor‑intensive cloud service handling to an AI‑driven intelligent assistant, detailing the business challenges, the architecture that couples AI, data, and business middle platforms, and the measurable efficiency gains achieved through model‑based automation.
A round‑table at the 2026 WAVES conference examined how AI and cloud platforms are reshaping the One‑Person Company (OPC) model, shifting cloud user demographics, creating a symbiotic relationship between solo founders and platforms, and highlighting the infrastructure needed for solo ventures to scale.
The article breaks down robot AI to a simple function mapping observations to actions, explains why latency, data diversity, and the need for split architectures make it far more challenging than training large language models, and surveys current solutions from edge‑cloud trade‑offs to action‑chunking and self‑learning.
The article analyzes how inference costs dominate AI application economics, explains why pricing power lies with upstream model providers, examines Baseten's rapid growth, outlines three conditions that could shift cost control back to application companies, and highlights the sticky, asset‑heavy nature of inference infrastructure.
The GIAC 2026 conference in Shenzhen showcased AI‑native transformation across leading tech firms, presenting the DRIVE model for organizational redesign, Google Cloud's Agentic AI strategy, Kuaishou's three‑layer AI overhaul, MoonBit's AI‑friendly programming language, and Kuaidi100's CLI‑native Agent ecosystem, highlighting practical challenges and future directions.
The article explains why enterprises need separate fee permissions on the AstraFlow platform, compares system and custom IAM policies, presents a single Deny policy that blocks 20 billing‑related APIs, and provides a three‑step guide to create, bind, and verify the policy, showing the resulting access matrix.
As AI applications proliferate, the article explains that Linux remains essential for model training, inference, cloud deployment, container orchestration, edge devices, and developer workflows, making Linux expertise a decisive advantage for engineers and teams building AI solutions.
Oracle’s 2026 10‑K filing discloses that AI adoption prompted the company to eliminate about 21,000 employees—roughly 13% of its global workforce—incurring $1.84 billion in severance, while simultaneously investing heavily in AI data‑center infrastructure, highlighting a strategic shift and raising concerns about reliance on a few large AI customers.
Recent announcements from OpenAI, GitHub, Google, and Cloudflare show AI agents transitioning from simple code generation to enterprise‑ready tools that incorporate security‑closed loops, protocol‑defined cross‑language cooperation, persistent context for long‑running work, and transparent cost and debugging information.
The article explains that disabling ping blocks only ICMP Echo Reply traffic, outlines security benefits such as preventing network scans and mitigating ICMP flood attacks, discusses practical drawbacks for troubleshooting and monitoring, and offers scenario‑based guidance on when to enable or disable ping.
The article analyzes how major cloud providers and networking firms are shifting enterprise software from subscription‑based SaaS to autonomous AI agents, detailing architectural layers, strategic moves, and the resulting impact on integration, data access, and security models.
The article explains how cloud computing reshaped software development, defines the cloud architect role, outlines required skills, compares major cloud providers, details design principles, certification paths, and career prospects, providing a comprehensive guide for aspiring cloud architects.
The article introduces Google Colab CLI, a command‑line interface that moves Colab notebooks from the browser to the terminal, detailing its installation on Linux/macOS, authentication steps, core features like instant VM provisioning, kernel state persistence, shebang GPU scripts, and practical examples such as fine‑tuning Gemma 3‑1B.
WWDC26 put Siri AI at the forefront of iOS 27, turning AI from a peripheral feature into a system‑level assistant, while sparking debate over Apple’s reliance on external cloud models, privacy implications, and the long‑term risk of mixing rented compute with its tightly integrated ecosystem.
VM live migration in large cloud clusters suffers from high CPU load and long downtime; Baidu Cloud integrated Intel Xeon 6 processors with built‑in QuickAssist Technology to offload memory compression, achieving up to 60% reduction in migration duration, 20% lower CPU usage, and sub‑10 ms pause windows.
The article analyzes the challenges of large‑scale live VM migration, introduces Intel Xeon 6 CPU‑integrated QAT hardware acceleration, compares pre‑ and post‑QAT workflows, and reports a 60% reduction in migration time, 20% CPU savings, and sub‑10 ms downtime in Baidu Smart Cloud production.
Apoorv Agrawal’s AI supercycle analysis introduces an A‑shaped three‑layer value‑chain (Semiconductor → Infrastructure → Apps), shows how AI revenue grew from $90 B in 2024 to $435 B in 2026, why the semiconductor layer now captures most profit, and what conditions could flip the structure.
Microsoft’s release of Azure Linux 4.0 marks a strategic shift from opposing Linux to building its own cloud‑native distribution, illustrating three historical phases, the technical foundations on Fedora, and the broader implications for Azure’s control, security, and market positioning.
The article provides a comprehensive analysis of Data Processing Units (DPUs), detailing their role as off‑load engines in data centers, the rapid global market growth with China leading the surge, key technology trends, competitive landscape, and the major challenges that must be overcome for broader adoption.
The cloud service provider FoxTi Cloud, which marketed “free forever” servers worth about 2,000 CNY, announced bankruptcy on May 8, leaving many users with thousands of yuan in lost balances and highlighting the risks of relying on free virtual products.
Microsoft’s FY2026 Q3 report shows AI revenue soaring to $37 billion, a 123% year‑over‑year increase, while overall revenue hits $82.9 billion, driven by rapid growth in Copilot subscriptions, a 40% rise in Azure revenue, and a $627 billion surge in RPO contracts.
The article traces OpenAI’s rapid technical breakthroughs, its evolving partnership with Microsoft—from a $10 billion Azure‑backed alliance to a 2026 multi‑cloud agreement that removes exclusivity and caps revenue sharing—while also detailing Elon Musk’s lawsuit accusing OpenAI of breaching its nonprofit mission and the broader implications for the AI industry.
A Gartner revenue‑based DBMS market share chart shows Oracle slipping from the top while cloud giants and fast‑growing newcomers like Snowflake, Databricks and CockroachDB gain ground, and DB‑Engines rankings reveal PostgreSQL’s rise and Oracle’s gradual decline despite still leading overall.
Amazon has pledged an additional $5 billion to Anthropic, bringing its total investment to $13 billion and promising up to $100 billion in compute capacity over the next decade, while both firms and OpenAI race to diversify infrastructure, secure multi‑cloud partnerships, and out‑spend rivals in the accelerating AI arms race.
A concise roundup of major 2026 tech developments reveals Apple’s leadership shift, Amazon’s record AI investment, Google’s AI‑focused strike team and TPU, Intel‑Google CPU‑IPU collaboration, China’s AI policy push, and emerging AI products from Kimi, Xiaomi, Volcano Engine and Sunrise, highlighting market trends and competitive dynamics.
The article analyzes Alibaba Cloud Elasticsearch’s shift from keyword‑based to Agent‑native search, detailing the Agent Native architecture, hybrid retrieval 2.0, FalconSeek engine performance gains of up to 300%, cost reductions of 40‑70%, and the ecosystem of ES Skills, cloud‑native enhancements, and observability that together enable a scalable AI search platform for enterprises.
DeepSeek’s latest hiring push reveals a strategic shift from algorithmic research to building and operating a high‑efficiency data center in Inner Mongolia’s Ulanqab, leveraging low‑temperature climate and existing cloud infrastructure to cut TCO, while gearing up for the upcoming V4 trillion‑parameter model.
In a candid two‑hour podcast, Nvidia CEO Jensen Huang explains how the company’s focus on accelerated computing, a massive CUDA ecosystem, strategic supply‑chain partnerships and a philosophy of doing only what’s essential have built a durable moat that outpaces rivals like TPU, while also revealing why Nvidia prefers to empower cloud providers rather than become one itself.
By 2026 inference will consume over 70% of AI compute, prompting a shift from GPU‑centric training to specialized, low‑latency, low‑cost inference chips, with Nvidia, Google, Amazon, Microsoft, Intel and newcomers like Groq and CoreWeave racing to capture the new battlefield.
At the 2026 Open AI Infra Summit, Alibaba Cloud showcased the evolution of the UALink 2.0 protocol and its integration with CXL, detailing new specifications, in‑network compute capabilities, and ecosystem developments that aim to overcome scale‑up bottlenecks in AI training and inference.
After a Molotov cocktail was thrown at Sam Altman's home, OpenAI’s Stargate initiative suffered a shockwave of senior executive departures, a strategic pivot from self‑built data centers to partner‑driven cloud resources, massive funding commitments, and the suspension of its UK expansion, highlighting deep turmoil in the AI infrastructure race.
Anthropic's Claude Managed Agents platform moves beyond token‑based model APIs to a full‑stack, hosted agent service, offering a three‑layer architecture, dramatic latency reductions, enterprise‑grade security, and a strategic pivot that could reshape the AI industry.
This roundup analyzes recent AI industry moves—including Alibaba’s sweeping organizational overhaul, a rare US AI‑giant alliance to curb Chinese competition, DeepSeek’s V4 launch, Zhipu’s GLM‑5.1 performance boost, Google’s 2027 AI production forecast, Anthropic’s Project Glasswing, new Chinese AI ethics rules, a massive Guangdong compute cluster, the open‑source SentiAvatar framework, soaring model‑stock prices, a token‑economy shift, and China’s first panoramic carbon‑accounting model—highlighting their strategic implications and concrete details.
Agentic OS, Alibaba Cloud’s first operating system built for AI agents, tackles traditional OS limitations—high onboarding barriers, lengthy training, instability, weak security, and coordination complexity—through a three‑layer design, pre‑packaged Skills that cut token usage by over 30%, a one‑command Copilot Shell deployment, and a comprehensive security core, reshaping the compute paradigm toward agent‑centric workloads.
The article explains the definitions, core differences, and practical use cases of IaaS, PaaS, and SaaS, using a simple "meal" analogy and real‑world DevOps platform scenarios to help programmers and ops engineers quickly grasp each service model and its appropriate audience.
This guide explains how to build a secure, multi‑tenant data lake on Alibaba Cloud by combining OSS Access Points with VPC Gateway Endpoints, covering architecture overview, step‑by‑step configuration, policy examples, and best‑practice considerations for private‑network access.
The article outlines DataWorks' evolution from a decade‑long big‑data governance platform to an AI‑driven Copilot and autonomous Agent system, detailing its technical foundations, tool‑adaptation layer, context engineering, security safeguards, and future vision of a professional, open, and intelligent big‑data development ecosystem.
Linux now powers over 3 billion smartphones, 100% of the TOP‑500 supercomputers, and the core of every major public cloud, with Android’s free model outpacing Windows Phone and Docker/Kubernetes turning Linux into the essential “air and water” of modern cloud computing.
OpenClaw, an open‑source local AI agent framework that lets AI directly control computers and phones, has sparked a wave of support from major Chinese internet, cloud, and tech firms—Tencent, ByteDance, Alibaba, Baidu, Xiaomi and others—driven by technical, commercial and strategic motives, while the article warns that ordinary users face high barriers, costs and risks.
In early 2026, the Chinese AI community was swept by the OpenClaw "lobster" phenomenon, prompting major cloud providers and tech firms to launch services that turn idle compute into revenue, battle for next‑generation interaction points, and ride policy‑driven hype, while exposing significant cost, security, and regulatory risks.
The article argues that debates over technology choices—from SOA vs. micro‑services to open‑source vs. closed‑source large models—are ultimately decided by commercial models, ecosystem lock‑in, cost structures, and monetisation paths rather than pure technical superiority.
An a16z podcast reveals that by 2025 native AI firms will outpace traditional software companies, driven by superior ARR per employee, rapid revenue scaling, and lower marketing spend, while highlighting the need for deep product and backend overhauls, infrastructure investment, and the rise of high‑margin AI‑enabled business models.
This article walks through the step‑by‑step evolution of a large‑scale e‑commerce backend—from a single‑server setup to microservices, containerization, and cloud platforms—highlighting the technical challenges, key technologies, and design principles that enable millions of concurrent users.
This article explains Apache Flink’s stream processing fundamentals, introduces the open‑source Flink Agents framework for building event‑driven AI agents, details Alibaba Cloud’s Flink AI Function for real‑time LLM inference, and showcases demos, architecture, integration patterns, and practical use cases such as VOC analysis, live‑stream analytics, and intelligent operations.
This article explains why Amazon EC2 Mac instances are ideal for running OpenClaw as a 24/7 Apple‑ecosystem AI assistant, compares cloud versus local Macs, outlines cost and security benefits, and provides a step‑by‑step CloudFormation deployment guide with configuration details for iMessage, Screen Sharing, and full‑disk access.
This guide walks through Alibaba Cloud SLB’s architecture, product variants, and environment prerequisites, and step‑by‑step Terraform provisioning for CLB, ALB, and NLB, covering health checks, HTTPS setup, traffic routing, performance testing, best practices, security hardening, monitoring, and disaster‑recovery procedures.
This article outlines fifteen frequent cloud‑architecture mistakes—such as orphaned resources, misconfigurations, poor team communication, over‑reliance on single tools, and lack of governance—explaining why they happen, their architectural impact, and practical steps to avoid costly outages and inefficiencies.
The article breaks down IaaS, PaaS, and SaaS by defining each model, explaining the responsibilities of providers and users, illustrating typical products and use‑cases, and offering a practical decision framework for enterprises to select the most suitable cloud service.
Amazon Graviton5, the newest custom ARM‑based EC2 processor, delivers up to 25% higher compute performance, up to 33% lower core‑to‑core latency, 5× larger L3 cache, and network and storage bandwidth gains of 15%–20%, while offering superior energy efficiency and real‑world speedups reported by customers such as Adobe, Epic Games, Airbnb, Atlassian and SAP.
The article analyzes how Manus, a general‑purpose AI agent, leverages E2B's Firecracker micro‑VM sandbox and self‑hosting deployment to achieve fast startup, full OS capabilities, session persistence, multi‑tenant isolation, and future cross‑OS support, illustrated with real‑world use cases and trade‑off assessments.
The article analyzes the widening gap between massive AI investment and modest commercial returns, showing how cloud giants like AWS and Google Cloud face shrinking margins despite soaring capex, while consumer‑facing AI products such as ChatGPT struggle to convert billions of users into paying customers, highlighting systemic profitability challenges across both B2B and B2C AI markets.
This article systematically presents Baidu Intelligent Cloud’s three‑layer AI architecture for network intelligent operations, explains the AI base, core, and business layers, showcases the NetStudio digital engineer platform, and details real‑world use cases, performance gains, and a roadmap toward fully autonomous network management.
This article details Xunlei's migration from a fixed Hadoop cluster to Alibaba Cloud EMR Serverless Spark, outlining the platform's background, pain points, technical upgrade goals, serverless capabilities, archive data access methods, Kyuubi integration, and the resulting business and technical benefits.
This guide walks you through setting up a secure, elastic, and high‑performance AI data processing platform on Alibaba Cloud by combining DataWorks, MaxCompute, and MaxFrame, covering the four essential steps, code examples, best‑practice tips, and common troubleshooting advice.
Many enterprises spend heavily on cloud services yet see little efficiency gain because they misunderstand cloud computing’s true value, select the wrong deployment model, or ignore key pitfalls; this article explains core concepts, selection criteria, benefits, real‑world use cases, and common mistakes to avoid.
This guide explains the fundamental differences between Layer 4 (transport‑level) and Layer 7 (application‑level) load balancers, compares Alibaba Cloud and Tencent Cloud offerings across performance, features, and pricing, and provides practical selection tips and common pitfalls to avoid.
By rethinking resource requests, eliminating unused workloads, downsizing node types, fine‑tuning autoscaling, and trimming log storage, a team reduced their Kubernetes bill by 40% while keeping the same cloud provider, demonstrating that most cost overruns stem from misconfiguration rather than the platform itself.
This guide explains Alibaba Cloud ESA's free CDN tier, covering its generous unlimited‑traffic offering, step‑by‑step application, region‑selection modes, domain integration, special port and cache configurations, renewal tricks, performance benchmarks, and comparisons with competing services.
Ceph is an open‑source distributed storage platform offering object, block, and file services with high availability, scalability, and self‑management; the guide explains its core components, CRUSH algorithm, storage interfaces, deployment steps using ceph‑deploy, operational monitoring, performance tuning, and common use cases in cloud and big‑data environments.
This case study details how Qimao leveraged Alibaba Cloud EMR Serverless Spark with Fusion and Celeborn to overcome multi‑business‑line data‑processing challenges, achieving more than 50% faster batch jobs, significant cost reductions, and improved operational flexibility across its 600 million‑user ecosystem.
At AWS re:Invent 2025, CEO Matt Garman outlined four essential pillars for building AI agents, unveiled three frontier agents, introduced the Amazon Nova 2 model series and 25 major cloud service innovations, and argued that billions of agents will soon deliver ten‑fold efficiency gains across enterprises.
This article analyzes the technical principles, architectural innovations, and real‑world scenarios of Data Processing Units (DPUs), showing how they resolve storage‑CPU mismatches, eliminate excessive east‑west traffic, and accelerate failure recovery, thereby becoming a core infrastructure for AI and cloud computing.
The article chronicles Hock Tan’s finance‑driven rise—from early M&A attempts like the blocked Qualcomm deal to software acquisitions such as CA and VMware—and explains how his aggressive restructuring and AI‑focused strategy are projected to lift Broadcom’s AI revenue from $20 B in 2025 to $120 B by 2030, positioning the company as a key AI‑infrastructure player.
The article explains that despite evolving titles and tools, DevOps remains a vital culture and engineering practice through 2026, highlighting its core principles, the rise of platform engineering, essential skills, the impact of AI, and the growing importance of security roles.
On October 19‑20 a massive AWS failure in the US‑East‑1 region crippled a large portion of the internet, exposing how a faulty internal monitoring tool, DynamoDB’s lack of cross‑region replication, and unchecked retry storms can cascade into a widespread outage, and offering concrete operational lessons for cloud teams.
This article outlines the eight critical competencies—from Linux and scripting to cloud, container orchestration, and automation—that define the career progression of an operations professional and explains why mastering them is key to advancing to senior roles.
This article explains how traditional kernel network stacks struggle with modern cloud data‑center workloads and introduces Baidu Intelligent Cloud's Polar solution—Polar‑TCP and Polar‑RDMA—which combine user‑space DPDK drivers, a lightweight TCP stack, and an industrial‑grade RPC framework to achieve near‑RDMA performance while preserving ecosystem compatibility.
This article outlines a practical learning path for Linux operations engineers, detailing the three career stages and providing a comprehensive roadmap from junior to senior levels to help professionals advance their skills and stand out in the field.
Microsoft’s CEO Satya Nadella admits the tech giant’s massive stock of Nvidia GPUs are idle due to insufficient electricity and lack of ready‑to‑use data‑center facilities, highlighting a broader industry shift where AI’s soaring compute demand is now constrained by power and infrastructure limits.
In a deep interview, Baidu AI Computing chief scientist Wang Yanpeng and host Koji trace China's internet infrastructure from the early big‑data era through cloud computing to today's AI boom, highlighting the pivotal role of compute power, GPU acceleration, data scaling, and Baidu's Baige platform in shaping the AI arms race.
This article introduces Terraform, an open‑source Infrastructure as Code tool, explains its core concepts such as declarative programming, resources, providers, and state management, and walks readers through the complete workflow from writing configurations to applying and destroying cloud resources.
At the 4th China IPv6 Innovation Development Conference, Alibaba Cloud showcased its rapid IPv6 deployment—boosting IDC traffic share from 12% to 40%, expanding cloud product support to 97%, and leveraging IPv6/SRv6 to meet AI large‑model network demands, while sharing best practices across industry and government partners.
OpenAI announced a multi‑year strategic partnership with Amazon Web Services, worth $38 billion, granting OpenAI access to AWS’s massive GPU‑powered EC2 UltraServers and scalable CPU resources to accelerate its generative AI workloads, while leveraging AWS’s security, performance, and cost advantages.
This roundup covers essential insights on backpropagation fundamentals, FreeBSD self‑hosting benefits, an open‑source 30B MoE AI model, misuse of cybercrime laws, historic moving sidewalks, party‑planning hacks, deceptive signal‑strength tricks, a 1000‑hp micro motor, Nextcloud performance fixes, and Google Cloud account suspensions, offering a blend of technical depth and practical advice.
ACK One Fleet, Alibaba Cloud's enterprise multi‑cluster solution, provides inventory‑aware elastic GPU scheduling, cross‑region resource sharing, multi‑cluster HPA and model distribution, allowing AI inference and training workloads to scale efficiently, reduce costs, and maximize GPU utilization.
The EMR AI Assistant is an intelligent tool from Alibaba Cloud that streamlines EMR cluster management by offering quick resource queries, operation invocation, anomaly diagnosis, and conversational support, with detailed usage steps, policy code, and practical examples for big‑data operations.
This comprehensive guide covers 30 high‑frequency NFS interview questions for Linux cloud roles, detailing core concepts, configuration, security options, performance tuning, troubleshooting steps, high‑availability designs, cloud‑managed services, monitoring strategies, and alternative distributed file systems to help candidates demonstrate deep technical expertise.
The 2025 OSCAR Open‑Source Industry Conference in Beijing gathered leaders from China’s communications standards association, the China Academy of Information and Communications Technology, and major enterprises to unveil new trusted open‑source assessment results, launch AI open‑source initiatives, discuss regional standards, and outline a three‑year roadmap for secure, collaborative open‑source development across cloud, AI, and big‑data sectors.
This article compares VMware's costly virtualization suite with four open‑source alternatives—KVM, Proxmox VE, oVirt, and OpenStack—detailing each solution's core features, performance, management tools, and suitability for enterprise IT cost reduction.
This article outlines Alibaba Cloud's AI‑driven "Smart Sentinel" system, which tackles the three major challenges of large‑scale cloud operations—hard‑to‑detect anomalies, alarm storms, and difficult root‑cause analysis—by deploying multi‑layered detection, intelligent alarm grading, and an end‑to‑end automated response loop.
The article explores how Volcano Engine’s multimodal data lake architecture addresses the storage, compute, and management challenges of AI agents by introducing new formats like Lance, upgrading engines such as Spark and Daft, and providing unified tools for processing, versioning, and querying massive multimodal datasets.
This article explains the concept of computing power, its measurement units, classifications into general and specialized types, the role of CPUs, GPUs, FPGA and ASIC chips, and how it underpins AI model training, blockchain mining, and scientific research.
Google is porting roughly 30,000 production software packages to Arm, using an AI‑driven tool called CogniPort to automate the migration and aiming to run them on its Axion chips and x86 processors while improving cost and energy efficiency.
This guide compares VMware and Proxmox VE, explains why Proxmox can be more resource-efficient, and provides a detailed, step-by-step walkthrough of downloading the ISO, installing Proxmox VE, configuring networking, setting up SSL, and creating a multi-node cluster with command-line examples.
This curated reading list presents must‑read books covering cloud, edge, distributed, high‑performance, parallel, heterogeneous, quantum, and AI computing, offering expert editorial insights, author backgrounds, and publication details to help readers grasp core concepts and advance their technical expertise.
Since its 2016 launch, Alibaba Cloud EMR has transformed from a basic open‑source Hadoop service into a high‑performance, AI‑enabled big‑data platform, delivering optimized I/O, vectorized processing, and integrated AI functions such as natural‑language SQL, StarRocks and Spark enhancements, while supporting diverse industry workloads.
The article analyzes OpenAI’s recent strategic partnerships and massive AI infrastructure investments, detailing multi‑gigawatt data‑center plans, chip collaborations, soaring energy demands, and the broader implications for AI as the next global infrastructure platform.
An in‑depth analysis reveals that Oracle’s AI‑focused cloud business, built on expensive Nvidia GPU rentals for OpenAI and other AI developers, generates massive revenue but suffers from alarmingly low profit margins, creating a systemic risk that could ripple through the entire AI infrastructure ecosystem.
Amid rapid cloud and AI growth, Alibaba Cloud unveiled its self‑designed PRoT810 security chip and AliPRoT module, establishing a hardware‑level platform root of trust that delivers layered, proactive defense for data‑center servers against firmware tampering, supply‑chain attacks, and operational risks.
