The Ultimate Guide to AI Infrastructure
A curated Asian edition of TechDay news, analysis, interviews, reviews, job moves, and related resources for AI Infrastructure.
What to know about AI Infrastructure
AI Infrastructure explores the hardware, software, and systems that make modern artificial intelligence possible. This tag covers everything from compute and storage architectures to networking, data pipelines, and observability stacks that keep AI workloads reliable and efficient.
Stories here dig into practical questions: how to design scalable training and inference clusters, choose between GPUs and emerging accelerators, manage feature stores, and orchestrate distributed workloads. You’ll find discussions of MLOps practices, cost optimization, performance tuning, and the trade-offs behind different infrastructure patterns.
Whether you’re building a new AI platform or evolving an existing stack, this tag helps you understand the components, constraints, and design decisions that sit underneath AI products. Reading these pieces will give you concrete examples, architectural patterns, and lessons learned that you can apply to your own systems.
Asian AI Infrastructure News
Regional stories with direct local relevance
AT Tokyo & Zadara launch Japan cloud region for AI
Japanese firms seeking local AI capacity will gain new GPU-backed cloud resources as the service keeps data inside AT TOKYO's data centres.
Digital Realty expands Malaysia footprint with Cyberjaya hub
Malaysia gains a new global operator as Digital Realty begins building capacity for cloud and AI demand in Cyberjaya.
Visionbay chooses Netris for Taiwan's largest GPU cluster
Hardware-enforced tenant separation will help Visionbay scale Taiwan's largest GPU cluster without risking customer data leakage or network outages.
Taiwan market value tops USD $5 trillion on AI demand
Foreign investors are helping drive Taiwan's stock market to record size as chip and AI shares account for more than four-fifths of value.
Firmus wins award for energy-efficient AI data centre
Singapore's Firmus Technologies has won the Asia Pacific Data Centre Project of the Year for its energy-efficient AI Factory, leading in sustainable AI innovation.
Singtel & SK Telecom join forces for next-gen telecom networks
Singtel and SK Telecom have signed an MoU to advance next-gen telecom networks, focusing on AI, virtualisation, and preparing for 6G over the next two years.
Analyst Insights
Research and market analysis connected to AI Infrastructure
Featured News
Expert Columns
Interviews
Interviews and video coverage from the networkRecent AI Infrastructure News
Databricks launches open-source Omnigent for AI agents
The open-source release gives enterprises a single control layer for fragmented AI agent tools, with governance and cost controls built in.
Cyera raises USD $600 million at USD $12 billion valuation
The funding values the cybersecurity group at USD $12 billion as enterprises race to secure data exposed to AI tools and agents.
Companies turn to EnterpriseDB for AI data control
Banks and retailers are adopting the platform as AI projects mature, with data sovereignty now shaping budgets, risk and infrastructure choices.
Linux Foundation launches DocLang group for AI documents
It aims to solve a key enterprise AI problem by standardising how software reads PDFs, Word files and images without losing layout or meaning.
Parallel Works adds AI governance & token budgeting
Rising AI costs and weaker oversight are pushing enterprises to demand tighter controls as token use spreads across clouds and in-house models.
DE-CIX chief warns orbital data centres need networks
Reliability, not raw compute, may decide whether orbital AI data centres can work, as DE-CIX says links to Earth remain the bigger hurdle.
Direct-to-chip coolants market set for rapid growth
Liquid cooling is gaining ground as AI data centres outgrow air systems, with the market forecast to hit USD $1.3 billion by 2032.
HPE expands AI factory platform with new NVIDIA integrations
Security and governance tools are being added as enterprises push agentic AI from pilots into live production systems.
HPE expands self-driving networking across AI environments
HPE has expanded its self-driving networking strategy with new AI, security and data centre capabilities across enterprise environments.
AMD & Rackspace sign AI cloud deal for regulated firms
Regulated enterprises should gain a governed AI stack as the partners roll out 30 MW of AMD-based compute across Rackspace data centres.
CrowdStrike extends Falcon AI Detection across key gateways
The integrations aim to close security gaps as more firms run AI in production across gateways, APIs and models.
ZincFive named to TIME green tech list for second year
The ranking underscores rising demand for safer backup power in data centres, where AI loads are sharpening scrutiny of energy use and emissions.
Sharon AI signs 600-petabyte sovereign AI deal with VAST
The 600-petabyte deployment is set to underpin regulated AI workloads in Australia as demand for onshore data control intensifies.
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AMD buys MEXT to boost data centre memory efficiency
Rising memory demand in AI and cloud systems could push operators to rethink costly DRAM-heavy builds after the acquisition.
AI to boost Asia Pacific property demand, says report
Stronger AI adoption could lift office, industrial and retail demand in Asia Pacific, Cushman & Wakefield says, despite automation fears.
OpenAI acquires Ona to expand Codex enterprise workflows
Enterprise users could gain more secure long-running AI workflows as OpenAI folds Ona's cloud execution tools into Codex for production use.
Zscaler expands AI-Guardian with cloud & AI partners
Customers will be able to enforce zero trust controls across more AI tools as Zscaler broadens its security programme to key cloud partners.
Data centre generator market set for steady growth
Backup power demand is set to lift spending as operators add generators to shield data centres from outages and grid instability.
Zscaler expands Project AI-Guardian with tech partners
The wider partnership push aims to help enterprises control AI risk across cloud, identity and data systems as deployments move into production.