AI Infrastructure

AI Infrastructure Hyperscaler vs Specialist GPU Cloud: What Decides Fit Capacity, GPU memory bandwidth, and contract terms — not brand — decide whether training and inference workloads belong on a hyperscaler or a specialist GPU cloud. August 9, 2026 AI Infrastructure MCP 12-Month Deprecation Window: What Enterprises Must Verify MCP's new SEP-2577 policy guarantees a 12-month gap between deprecation and removal, but the same release deprecated three capabilities and shifted security responsibility onto implementers. Here's how to size that window against your own SDK and security-review cycle. August 7, 2026 AI Infrastructure Amazon Bedrock vs SageMaker AI: What Actually Decides It SageMaker AI's managed instances cost 20–40% more than equivalent EC2, a premium that only pays off when a workload needs training control Bedrock's managed API doesn't offer. Here's the decision rule AWS's own guide draws between the two services. August 6, 2026 AI Infrastructure Liquid Cooling for AI Data Centers: The Density Line Rack density, facility power, and cooling-water conditions that determine when liquid cooling stops being optional for AI deployments, plus the acceptance tests worth putting in the contract before the racks ship. August 5, 2026 AI Infrastructure Why Power Delivery Constraints Now Gate AI Data Center Rollouts GPU racks approaching a full megawatt are breaking the 54-volt DC distribution standard and outrunning grid interconnection timelines. Here is what operators need to verify before committing to a site. August 1, 2026 AI Infrastructure AI Workload Placement: On-Prem vs Colocation vs Telco Edge Grid connection queues, data sovereignty rules, and inference latency budgets—not vendor preference—determine whether an AI workload belongs on-premises, in regional colocation, or at a telco edge site. July 31, 2026 AI Infrastructure Why Grid Access Constraints Are Reshaping FLAP-D Delivery Across Frankfurt, London, Amsterdam, Paris, and Dublin, power access rather than customer demand now decides which announced data center capacity actually gets built, and on what timeline. July 29, 2026 AI Infrastructure AI Data Center Bottlenecks: Power, Grid, and Cooling Limits to 2030 AI data center capacity bottlenecks are no longer a single number. Power availability, grid interconnection timelines, HBM memory supply, and workforce readiness now move together, and evidence from NEMA, Aon, and industry analysts shows delivery timelines depend on which constraint is tightest, not on total announced capacity. July 29, 2026 AI Infrastructure 800VDC Data Center Power: What AI Deployments Must Prove AI racks are outgrowing 48V and AC distribution. Vendors are shipping 800V conversion hardware, but grounding, protection, and grid-side fault behavior are separate, unresolved layers of the same transition. July 27, 2026 AI Infrastructure AI infrastructure bottlenecks beyond GPUs: what limits capacity Google Cloud, Nvidia's networking chief, and a new OS-level study of AI coding agents point to four separate constraints beyond GPU supply — power siting, network system integration, memory behavior under agent workloads, and data governance — each with its own failure mode and no single fix. July 27, 2026