Articles about storage, backup, virtualization, technology, innovation, programming, leadership, management,... etc
Articles about storage, backup, virtualization, technology, innovation, programming, leadership, management,... etc
Building infrastructure for AI/ML pipelines means designing an environment that handles data processing, model training, inference, and storage without becoming a bottleneck. Here’s how to approach it. 1. Assess Requirements First Identify the actual workloads: training, inference, batch processing, real-time prediction. Each has different compute and latency profiles. Define scale. A prototype serving five users […]
Building a GPU inference pipeline for real-time workloads takes deliberate choices at every layer. Here’s the practical breakdown. 1. Hardware Setup GPU Selection: Pick GPUs built for inference. NVIDIA A100 and T4 are datacenter standards; RTX 3090/4090 work for dev or small-scale deployments if you accept consumer-grade limits. Server Configuration: Your servers need enough PCIe […]
Implementing a zero-trust security model in your IT infrastructure is a critical step in ensuring robust protection against modern cybersecurity threats. Below is a step-by-step guide on how to achieve this in an environment that includes datacenters, storage, servers, virtualization, Windows, Linux, Kubernetes, and AI workloads: 1. Understand Zero-Trust Principles Zero-trust operates on the principle […]
