A six-part series for the people who have to make LLM serving actually run: on real GPUs, over real fabrics, at a real cost. Why this series exists Most vLLM content is written by and for ML engineers: model quality, sampling parameters, prompt tricks. But if you run the platform underneath, the questions you get
One private, OpenAI-compatible endpoint now serves every internal AI application in our data centre, running entirely on our own H200 GPUs. This post walks through how I built it: Kubernetes on bare metal, the NVIDIA operators, vLLM and NIM serving the models, LiteLLM as the gateway, and an F5 load balancer on the uplink. The
Learn how retina scan security works, the privacy risks of biometric authentication, template protection, anti-spoofing controls, and biometric data protection.
Learn secure data destruction methods based on NIST SP 800-88 Rev. 2, including data sanitization, cryptographic erase, SSD sanitization, degaussing, and physical destruction.
Build practical AI infrastructure skills across 12 hands-on stages covering Kubernetes, NVIDIA GPUs, LLM inference, autoscaling, observability, security and more.
Learn how to build a bare metal GPU cloud for NVIDIA DGX SuperPOD with tenant isolation, Metal3, Ironic, Kubernetes, vCluster, Run:ai, dynamic GPU provisioning, and automated workload scheduling.
Learn how NVIDIA DGX SuperPOD architecture works by building a mini SuperPOD lab with VMs, Ansible, Kubernetes, NVIDIA GPU Operator, scheduling, and Mission Control concepts.
Compare inline vs out-of-band API security architecture, API gateway enforcement, eBPF monitoring, threat detection, latency, and deployment trade-offs.
Demystifying VeloCloud: A Comprehensive Guide to Licensing, Support and BOQ As enterprises move away from rigid legacy WAN architectures, SD-WAN has become an important part of modern network transformation. VeloCloud SD-WAN provides organizations with a flexible way to connect branches, data centers, cloud environments, and remote locations while improving application performance and network visibility. However,