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
NTT DATA named market shaper in Gartner physical AI
IDC survey flags networking bottlenecks for agentic AI
Grafana Labs named leader in Gartner observability report
Alation launches AI operating system for enterprise trust
Google tops Gartner's AI infrastructure magic quadrant
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
Prem launches Enclave for secure sovereign AI clusters
Sensitive data can now be processed on standard GPU clusters without leaving customer control, as Prem's Enclave targets regulated sectors.
Submer taps Netceed to expand AI infrastructure in EMEA
Telecoms operators in EMEA gain a new route to sovereign AI systems as Netceed widens Submer's reach across the region.
Databricks raises funding round at USD $188 billion
Fresh capital will help Databricks expand its AI tools as enterprises look to control costs and deploy models more effectively.
Google Cloud sets out AI security plan with Gemini & Wiz
Defenders could gain a faster edge against AI-driven attacks as Google Cloud ties Gemini, Wiz, CodeMender and Mandiant into one platform.
Arm expands Arteris security tools across CPU portfolio
Security checks will now cover more Arm processors, as the chip designer broadens use of Arteris' Radix tool to spot flaws earlier.
CMMI launches AI maturity model for governance teams
Stricter EU rules are pushing firms to prove AI is governed properly, as the new CMMI AIM framework adds assessments and certification.
Cast AI launches Kimchi Coding for enterprise developers
Enterprises can now deploy an autonomous coding agent that Cast AI says cuts token bills and tightens governance for developers.
Akamai joins WWT AI security model for NVIDIA systems
The tie-up gives enterprises a layered way to secure AI systems without sacrificing performance, as demand for larger workloads grows.
Virtana adds HPE AI Factory support for observability
Rising GPU inefficiency in AI deployments is pushing enterprises to seek tools that can spot bottlenecks, heat and reliability issues earlier.
NVIDIA touts Blackwell's AI efficiency gains in racks
Energy and cooling limits are becoming the real bottleneck for AI operators, as NVIDIA says Blackwell racks can lift output within fixed power budgets.
Cast AI launches Kimchi Coding with production support
Enterprises can now run the coding agent with tighter spending caps, data sovereignty controls and production support to curb AI development costs.
CI&T & Mistral strike Latin America AI partnership
Enterprise customers in Latin America could gain more control over AI deployment as CI&T and Mistral team up on private model stacks.
Warburg Pincus backs Oxylabs in USD $130 million deal
The deal values the web data infrastructure group at USD $3.6 billion as investors back the systems helping AI agents gather online information.
Google Cloud expands Claude support on Agent Platform
The update gives enterprises managed access to Anthropic's models with built-in failover, data residency and compliance controls for production AI use.
Featherless launches fixed-fee GLM 5.2 private cloud
Engineering teams could cut AI coding bills by more than USD $1.46 million a year as Featherless offers GLM 5.2 on fixed-fee private cloud.
DataX Connect widens data centre pay survey to regions
Regional pay data could help data centre employers tackle shortages as DataX Connect expands its 2026 survey across Europe and the United States.
Google adds GPU & TPU support to GKE Autopilot
Developers can now run accelerator-heavy AI workloads on managed GKE Autopilot without handling node setup or low-level network allocation.
NVIDIA & LangChain launch open stack for AI agents
Businesses can now build AI agents more cheaply, as the open stack matches top closed models on one benchmark while cutting run costs sharply.
Taara & GSMA launch calculator for middle-mile costs
Operators can now compare middle-mile build costs across fibre, microwave and optical wireless as data demand and AI workloads reshape networks.