AI Infrastructure

The new data center resilience playbook

Explore strategies for enhancing data center resilience, ensuring business continuity and managing risks against disruptions in today's tech landscape.

By Damon Garn • Oct. 29, 2026

IBM Automation 2.0 will tighten integrations, unify UI

An IBM exec shares roadmap information for IBM's IT Automation division, including plans to unify a broader set of products into a single console.

By Stacey Peterson • Oct. 29, 2026

AMD to invest $1 billion in Meta as Helios systems enter testing

AMD will invest $1 billion in Meta as Helios rack-scale systems enter testing, advancing a multi-year AI infrastructure partnership with up to 6 GW of planned capacity.

By Shane Snider • Oct. 29, 2026

Ways to manage AI model updates without breaking production

Learn how AI model upgrades, version changes and deprecations can affect business workflows and explore AI model update management best practices.

By Abhishek Jadhav • Oct. 29, 2026

How Cloudera is evolving to stand out in the AI era

By prioritizing on-premises AI deployments, Cloudera is finding a way to evolve that not only keeps it competitive but differentiates it from its peers.

By Eric Avidon • Oct. 29, 2026

OpenAI’s reported Google TPU deal tests AI chip economics

OpenAI’s reported Google TPU purchase could improve compute access and negotiating leverage, but software engineering and chip supply remain constraints.

By Shane Snider • Oct. 28, 2026

Nvidia bets on personal agents in new Meta partnership

Nvidia and Meta deepen partnership, with the AI hardware provider’s $3 billion investment.

By Esther Shittu • Oct. 28, 2026

Plethora of new Zoho capabilities provide building blocks for AI

New tools, including a semantic layer and a data catalog, turn Zoho's analytics platform into a foundation for AI and keep the vendor competitive with peers.

By Eric Avidon • Oct. 28, 2026

Welcome to TechTarget AI

New look, same trusted voice. At TechTarget AI, we focus on real-world AI implementation, prioritizing the considerations and developments that truly matter for enterprises.

By Jen English , Shaun Sutner • Oct. 27, 2026

OpenAI, Google partnership targets enterprise model choice

OpenAI now has its models on all three major cloud provider platforms, as it refines its enterprise strategy.

By Esther Shittu • Oct. 22, 2026

On-premises vs. edge AI implementations for AI inference

AI inference can run on-premises for high-volume tasks or at the edge for real-time decisions. Business leaders must weigh the tradeoffs of each method to choose the right fit.

By Stephen Bigelow • Oct. 13, 2026

CoreWeave connects AI coding tools to infrastructure intelligence

The neocloud vendor provides AI agents with access to data from its infrastructure management platform, helping developers troubleshoot slow or underperforming AI workloads.

By Kinza Yasar • Sept. 24, 2026

Nvidia-backed Skild AI teaches robots new tasks from a single video

The development adds to the rising momentum toward general-purpose robots and the real-world deployment of physical AI.

By Scarlett Evans • Sept. 22, 2026

Colossus data center buildouts: Can they ever be duplicated?

SpaceX's fast pace, energy capacity and crafty permitting in building the Colossus 1 and 2 data centers provide some worthy lessons that can be emulated -- and others that can't.

By George Lawton • Sept. 18, 2026

With Nvidia GPUs, CoreWeave hits architectural milestone

TechTarget has learned that CoreWeave has put powerful multi-rack capabilities into production around Nvidia's latest AI platform.

By Shane Snider • Sept. 16, 2026

Harnesses bring coordination and guardrails to enterprise AI agents

The meaning of harness is still evolving.

By Kinza Yasar • Sept. 14, 2026

Physical AI deployment challenges and how to address them

Physical AI can conjure up unique but solvable issues surrounding unpredictability, data quality, safety and cost overruns. Avoid business disruptions with these best practices.

By Stephen Bigelow • Sept. 11, 2026

Mistral bets enterprise AI will be about control, not just intelligence

The French AI lab is using a $3B fundraise to sell control over AI infrastructure, not just model power -- a shift in direction that could matter to U.S. firms in Europe too.

By Kinza Yasar • Sept. 11, 2026

AI cloud migration: Key steps to success

Migrating AI to the cloud demands strategic planning, system assessments, component modernization, data pipeline optimization and phased deployment. Find out what you need to know.

By Stephen Bigelow • Sept. 8, 2026

Planning AI infrastructure upgrades: Four steps for success

AI infrastructure upgrades require proactive planning. Steps include setting business goals, assessing existing infrastructure, and optimizing hardware, security and governance.

By Stephen Bigelow • Sept. 8, 2026

A guide to AI chip architectures

The diversity of today's AI processors can make their purpose, benefits and limitations confusing. This roundup can help businesses match their AI tasks to the right chip.

By Stephen Bigelow • Sept. 1, 2026

AI agent security: How reliable is enterprise AI testing?

Experts outline comprehensive testing practices before and after deployment of AI agents to prevent them from acting on their own beyond prescribed instructions.

By Liz Hughes • Aug. 31, 2026

Distributed computing: The infrastructure shift AI demands

The hyperscale era is ending. AI's energy and latency demands are driving infrastructure toward the edge -- closer to users, devices, and energy sources.

By Simon Ratcliffe • Aug. 12, 2026

Physical AI, robotics revive lagging U.S. shipbuilding

Physical AI and robotics speed shipyard operations, improve production planning, increase shipbuilding volume and automate labor-intensive tasks like welding and surface prep.

By Chuck Martin • Aug. 12, 2026

Essential metrics for AI hardware management

AI infrastructure requires monitoring compute, network, storage and business metrics to optimize performance, prevent bottlenecks and manage costs.

By Stephen Bigelow • July 31, 2026