AI & ML

The road to the giant project was paved with secret meetings and an ever-expanding building plan.

A Times examination details how the Silicon Valley giant used private talks with local officials to start a project big enough to cover nearly six square miles.

America has produced its own kind of Sputnik. We should not squander it.

TL;DR MCP and A2A solve different integration problems. MCP standardizes how an agent discovers and invokes tools, APIs, resources, and data services. A2A standardizes how independent agents discover one another, exchange messages, delegate work, manage long-running tasks, and return artifacts. A durable enterprise design does not choose one protocol and force it to do both

TL;DR NVIDIA Triton Inference Server performance tuning is not a matter of enabling dynamic batching and increasing model instances until GPU utilization rises. The correct process is to define a latency objective, establish a repeatable baseline, test realistic concurrency and arrival patterns, inspect queue and compute time separately, and then promote only configurations that improve

TL;DR NVIDIA NeMo Guardrails should sit in the controlled request path between the application and the production LLM endpoint, not beside it as an optional validation service. The application sends requests through an authenticated gateway to the guardrails service. Input rails inspect the request, retrieval rails inspect RAG context, execution rails constrain tool use, the

TL;DR Deploying NVIDIA vGPU on VMware vSphere is not simply a matter of installing a driver and attaching a virtual PCI device. The server, physical GPU, ESXi build, NVIDIA vGPU release, guest operating system, vGPU profile, and licensing model must all form a supported combination. A reliable deployment sequence is: Validate the complete hardware and

The meteoric rise on its first day of trading catapulted CXMT, China’s leading memory chip maker, to being the most valuable company on the Shanghai stock exchange.

Introduction Cloud repatriation has become another architecture debate that generates more heat than evidence. One side treats public cloud as the default destination for every application. The other treats every unexpected bill, provider outage, or jurisdictional concern as proof that workloads should return to privately owned infrastructure. Both positions fail for the same reason: they

TL;DR A reliable VMware NSX deployment on NVIDIA networking depends less on clicking through the NSX Manager wizard and more on getting the physical underlay right first. The NVIDIA Spectrum fabric must provide stable Layer 3 reachability between every ESXi and NSX Edge tunnel endpoint, consistent jumbo MTU, predictable uplink behavior, and resilient routing to