The Ultimate Guide to AI Infrastructure
A curated Irish 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.
Irish AI Infrastructure News
Regional stories with direct local relevance
Analyst Insights
Research and market analysis connected to AI Infrastructure
Ethyca launches Astralis to govern enterprise AI data
Fortinet launches FortiGate 1200G with FortiSASE Outpost
Dell forum in Dublin to tackle AI scaling challenge
Vultr adds AMD MI455X GPU & Helios rackscale support
Gartner forecasts AI spending to hit USD $64bn in 2026
Featured News
John Margerison on the new class of employee: AI managers
Businesses should treat AI like a new hire, as weak oversight could expose sensitive data and leave staff needing fresh skills to stay relevant.
Exclusive: Virtuozzo sees GPU clouds reshape AI infrastructure
AI demand is pushing cloud providers towards GPU-as-a-service models, with efficiency and utilisation emerging as key differentiators.
Marvell targets AI connectivity bottleneck with NVIDIA boost
AI data centres are hitting copper limits, pushing Marvell and Nvidia towards optics as clusters grow larger and more distributed.
Expert Columns
Interviews
Interviews and video coverage from the networkRecent AI Infrastructure News
Bitzero adds Vertiv to data centre partner network
The partnership is meant to ease power and cooling bottlenecks as AI data centre demand forces operators to secure specialist systems earlier.
Rehlko warns AI data centres need dynamic power checks
Operators face reliability risks as AI workloads strain generators, batteries and UPS systems beyond the limits of installed capacity.
Sandisk unveils NAND technologies for AI inference
AI operators could cut data-centre costs and power use as Sandisk positions flash memory for longer-context inference workloads.
Grafana Labs adds adaptive profiles to observability suite
Rising observability bills are prompting teams to trim data, as Grafana Cloud now varies profiling detail and frequency to cut costs.
VDURA, Wasabi link AI storage with cloud archiving lifecycle
The tie-up aims to cut AI storage costs by shifting older training data off premium systems without losing access for retraining or compliance.
Google tightens oversight of its AI Agent Skills repository
Stricter checks now govern the 15,000-star repository as Google tries to stop weak instructions and broken links hurting AI coding agents.
Schneider Electric studies 800 VDC data centre arc flash
Safety guidance is lagging as higher-voltage systems for AI racks increase the need to model electrical faults in data centres.
OpenAI cuts GPT-5.6 prices in push for wider access
Lower costs and faster serving aim to make advanced AI more affordable for businesses and users, while boosting OpenAI's margins.
CrowdStrike says AI is now central to cyberattacks
Defenders now face a 48-hour window after proof-of-concept code appears, as attackers use AI to speed exploits and hit software chains.
AWS revenue growth hits fastest pace in 18 quarters
Demand for AI and core cloud services is boosting Amazon's key profit engine, with AWS growth accelerating to a 36.7% annual pace.
Amazon's custom silicon hits USD $25 billion run rate
Amazon Web Services' in-house chips are now a major profit centre as AI demand drives cloud providers to cut costs and secure supply.
Google expands AI infrastructure with Lustre & C4N
The upgrades are aimed at easing bottlenecks for large AI and machine learning deployments, with clusters now scaling to 15,000 nodes.
Acalvio launches AI deception guardrails for agents
Security teams may get earlier warning of hijacked AI agents as fake credentials and decoy tools are planted to expose misuse.
Stealthium & Tenstorrent add AI runtime visibility
Enterprises running AI on specialised hardware could gain better control and security as the firms target a visibility gap in runtime operations.
OpenAI cuts GPT-5.6 API prices & adds faster Sol mode
Businesses could see lower AI operating costs as OpenAI slashes GPT-5.6 Luna pricing and adds a faster premium mode for Sol.
Google Cloud boosts AI agent density with GKE sandbox
Tests on an n2-standard-48 virtual machine showed Google Cloud's sandbox and orchestration tweaks could cut per-agent costs by up to 75%.
LG Electronics posts record second-quarter profit rise
Higher-margin sales, cost cuts and US tariff refunds lifted operating profit 147 per cent as demand broadened across appliances, TVs and vehicle parts.
Fortinet lifts full-year revenue guidance after strong Q2
Stronger demand for its network security tools sent quarterly revenue up 26 per cent and prompted a higher full-year outlook for the cybersecurity group.
KnowBe4 backs Open Secure AI Alliance for AI defence
KnowBe4 has backed the Open Secure AI Alliance, arguing AI security depends on governing agent behaviour as well as models.
One in five data centre assets one hop from hackers
Nearly a fifth of operational systems in data centres sit one network step from reachable attackers, raising outage risks for cloud and AI services.