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Guías prácticas sobre infraestructura de IA, MLOps, modelos y despliegue a producción.
DSX, the CUDA Wheel, and Europe's AI Stack at GTC Berlin
Huang's factory half: DSX from a digital twin, Vera Rubin pods, and a slide that stacks applications, models, factories, NVIDIA compute and energy.
Balinder WaliaLeer NVIDIA Minerva for AI Factories: Turning Alert Storms into Recovered GPU Hours
One degrading optic can raise thousands of alerts and stall a thousand GPUs. What NVIDIA Minerva does, what it is worth in GPU hours, goodput, MTBI, MTTR and tokens, which of its three consumption models fits, worked examples for a Vera Rubin NVL72 neocloud, a university Blackwell cluster and an enterprise with Grafana and ServiceNow, and how it relates to UFM.
Balinder WaliaLeer 
NVIDIA UFM for AI Clusters: Why InfiniBand Fabric Visibility Decides What Your GPUs Are Worth
One flapping InfiniBand link can stall a 256-GPU job. What NVIDIA Unified Fabric Manager does, when UFM Telemetry, Enterprise or Cyber-AI fits, worked examples for a 4-node DGX B300 cluster, a 32-node SuperPOD-style cluster and a university Slurm service, and what fabric visibility is worth in GPU hours.
Balinder WaliaLeer 
Build AI Agents with NebulaDB: Semantic Search, RAG and a Visa AI Agent
How we built semantic search, RAG and a Thai Visa AI Agent on NebulaDB, with real queries, query plans and retrieval scores measured on our 8.3M-document production server, and the guards that keep private data and invented numbers out of the answers.
Balinder WaliaLeer 
NVIDIA Blackwell Ultra B300 Has Landed in the UK: Configure Yours Today
NVIDIA Blackwell Ultra B300 systems have arrived with our UK distribution partners. Configure and price your eight-GPU B300 build in minutes with our AI Sales Engineer, save with Workstation Trade, and order today to be first in line as UK supply arrives.
Balinder WaliaLeer 
Private AI for Law Firms: Choosing an Offline-First Workstation Your Clients Can Trust
How a law firm chooses a private-AI workstation that runs with no internet connection: who uses it, which model, how much GPU memory, how isolated it must be and who sets it up. With real prices from a real quote, where it was over-specified, and the Starter, Workforce and Enterprise builds we would actually ship.
Balinder WaliaLeer 
Gateway API Replaces Ingress: A Step-by-Step Migration Playbook
Ingress NGINX is retired and Ingress is frozen. This playbook maps Ingress fields and annotations to Gateway and HTTPRoute, flags the ingress-nginx behaviours that break, and walks through conversion, side-by-side testing, weighted cutover and rollback.
TuneBench: How Well Can AI Agents Calibrate Power System Models?
TuneBench tests LLM agents on calibrating generator and battery models within 15 simulations. Only Opus 5.5 and GPT-6 hit median R² above 0.995 in every test. What that figure means, its limits, and how to build the same kind of benchmark.
Agentic AI in banking: efficiency you can defend to a risk committee
Banking AI agents rarely fail on one bad reply; they fail across a session. How to scope tools, test whole conversations against mock systems and measure reliability with pass^k, so the time saved survives audit and production.
Wikipedia banned AI-written articles: what teams that reuse it should change
English Wikipedia now prohibits LLM-written article text, yet volunteers still flag a steady share of new drafts as AI-generated. If your search, chatbot or knowledge base reuses Wikipedia, here is how to pin revisions, watch edits, review changes and attribute correctly.