Articles about storage, backup, virtualization, technology, innovation, programming, leadership, management,... etc
Articles about storage, backup, virtualization, technology, innovation, programming, leadership, management,... etc
Managing IT infrastructure during an acquisition can be challenging but rewarding if done strategically. As an IT manager responsible for critical areas such as datacenters, storage, backup, servers, virtualization, operating systems, Kubernetes, AI workloads, and GPU-based computing, your role is pivotal in ensuring a smooth transition. Below is a detailed guide to help you manage […]
Configuring your IT infrastructure to support hybrid AI/ML workloads is a critical task that requires careful planning, the right technologies, and a scalable architecture. A hybrid AI/ML workload refers to workloads that may run across both on-premises infrastructure and public cloud environments. Below are the key steps to achieve this: 1. Assess Your Requirements Workload […]
Optimizing IT infrastructure for real-time analytics requires a strategic approach that ensures high performance, scalability, reliability, and efficiency. Below are key steps and considerations to help you achieve this: 1. Assess Requirements Understand Data Ingest Rates: Determine the volume, velocity, and variety of data being generated. Define Latency Tolerance: Identify acceptable latency thresholds for real-time […]
Implementing IT infrastructure for AI/ML pipelines involves designing and deploying a robust, scalable, secure, and efficient environment to support data processing, model training, inference, and storage needs. Here’s a step-by-step guide tailored for your role: 1. Assess Business Requirements Understand AI/ML use cases: Identify the goals, datasets, and expected workloads (e.g., training, inference, batch processing, […]
Setting up GPU-based inference pipelines for real-time applications involves several key steps, ranging from hardware selection to software optimization. Below is a comprehensive guide tailored for an IT manager with responsibility for infrastructure, servers, virtualization, and AI: 1. Hardware Setup GPU Selection: Choose GPUs optimized for inference workloads. NVIDIA GPUs like A100, T4, or RTX […]
Configuring IT infrastructure for containerized applications involves creating a robust, scalable, and flexible environment that supports container orchestration, networking, storage, and security. Below is a step-by-step guide for configuring an IT infrastructure for containerized applications: 1. Assess Requirements Workload Analysis: Analyze the nature of your containerized applications (stateful or stateless, resource-intensive, etc.). Scalability: Determine your […]