Category Archives: Technology
NVIDIA Data Center GPU Manager provides a common operational layer for observing, validating, and diagnosing data-center GPUs. The useful distinction is between passive health monitoring, low-overhead profiling telemetry, active diagnostics, and exported metrics. Treating all four as “GPU monitoring” makes runbooks vague. In a production NVIDIA AI infrastructure platform, each mechanism answers a different question […]
For readers studying Cisco 350-701 SCOR, Cisco Identity Services Engine profiling turns network observations into endpoint classifications that can be used for visibility and policy. Current Cisco ISE 3.5 guidance describes the profiler as a service that collects endpoint attributes, matches them against profiling policies, and places endpoints into identity groups that can then influence […]
NVIDIA GPU Operator packages the infrastructure components Kubernetes needs to discover, expose, monitor, and manage NVIDIA GPUs. Instead of treating the driver, container runtime integration, device plugin, feature discovery, monitoring, and MIG support as independent snowflakes on every node, the Operator provides a coordinated lifecycle. That makes it a platform component inside NVIDIA AI infrastructure, […]
Cisco TrustSec uses Security Group Tags (SGTs) to represent logical identity or privilege in the network. Current Cisco documentation describes an SGT as a 16-bit label that can be assigned during classification, carried across TrustSec-capable paths, and used by switches, routers, and firewalls for policy enforcement. In Cisco network engineering, the value is that policy […]
NVIDIA Multi-Instance GPU divides a supported physical GPU into isolated GPU instances with defined compute and memory resources. That changes the capacity model from “one pod gets one GPU” into a portfolio of instance profiles that can serve smaller workloads concurrently. MIG therefore belongs in the resource-governance layer of NVIDIA AI infrastructure, not merely as […]
Cisco XDR treats an incident as a correlated group of detections that security specialists can investigate as one potential breach. Current Cisco documentation distinguishes activities, detections, and incidents: activities are normalized telemetry, detections are security findings, and incidents are groups of related detections prioritized for human response. For Cisco network engineering and security operations, that […]
NVIDIA NIM packages optimized model-serving software into deployable microservices, but production success still depends on the Kubernetes system around the container. A NIM image needs GPU resources, model artifacts, authentication, storage, health checks, service exposure, scaling, and observability. The deployment should therefore be designed as a model-serving product inside NVIDIA AI infrastructure, not as a […]
For readers studying Cisco 350-701 SCOR, IKEv2 troubleshooting becomes much faster when engineers separate negotiation into layers instead of treating every failure as “the VPN is down.” IKEv2 first establishes an IKE security association, authenticates peers, and then negotiates CHILD SAs that carry IPsec-protected traffic. Current Cisco IOS XE security guidance continues to expose those […]
Operating AI infrastructure requires a software stack that spans hardware enablement, cluster orchestration, model-serving runtimes, and observability. NVIDIA AI Enterprise Infrastructure 8.2 is a current 2026 production branch that bundles supported infrastructure software, but the important operational lesson is broader: GPUs do not form a production platform from a driver alone. The layers must be […]
For Cisco 350-701 SCOR candidates, Cisco TrustSec provides a way to implement microsegmentation with logical security groups rather than tying every policy to IP subnets. Endpoints and workloads can be classified into Security Group Tags, those tags can be propagated across the network, and SGACLs or TrustSec-aware firewalls can enforce group-to-group policy. In the wider […]
NVLink is the high-bandwidth GPU interconnect NVIDIA uses to create scale-up domains in which multiple accelerators can exchange data more directly than through ordinary host networking. NVSwitch extends that connectivity into switched topologies. The practical design question is not simply whether a server or rack “has NVLink.” It is which GPUs can communicate over which […]
Encrypted traffic creates a difficult security boundary: the firewall can enforce network policy without reading payloads, but many threat detections become stronger when the device can inspect the application content inside TLS. Cisco Secure Firewall decryption policy is the decision layer that determines which encrypted sessions are decrypted, which are allowed to remain opaque, and […]
Modern AI racks have moved power and cooling from background data-center concerns into the critical path of compute design. NVIDIA GB200 NVL72-class systems combine dense GPU compute, NVLink switching, and direct liquid cooling in a rack-scale architecture whose facility requirements are materially different from conventional enterprise racks. In a scalable NVIDIA AI infrastructure deployment, electrical […]
When preparing for Cisco 350-401 ENCOR, VXLAN fabrics are easier to reason about when the underlay and overlay are treated as two related but distinct systems. The underlay is the IP transport that makes VTEP loopbacks and BGP peers reachable. The overlay is the tenant or service topology carried across that transport, typically using VXLAN […]
For readers studying Cisco 350-401 ENCOR, wi-Fi 6E is not simply Wi-Fi 6 with a higher channel number. It extends 802.11ax operation into the 6 GHz band, creating access to cleaner spectrum and many more wide channels, but only for clients and infrastructure that support the band and the regulatory rules that govern it. A […]
