Intel Xeon Platinum 8558P belongs to the 5th Gen Intel Xeon Scalable family and sits in the Platinum tier — the highest class in the Xeon lineup. It is designed for modern data centers and large-scale cloud infrastructure.

With the rapid expansion of AI, machine learning, cloud services, and big data applications, demand for powerful, efficient, and flexible CPUs has surged significantly and is expected to continue growing strongly over the next decade.

Flash memory has become one of the most in-demand commodities in the technology sector, alongside DRAM, as AI-driven workloads continue to push data storage requirements higher. According to TechPowerUp, SanDisk raised its NAND flash contract prices by approximately 50% in November 2025, reflecting tightening supply–demand conditions.

Explore the top cloud providers in Vietnam in 2026 and learn how foreign companies can choose the right partner for compliance, AI, and scalable infrastructure.

Artificial Intelligence (#AI) is increasingly embedded across socio-economic activities, reshaping how organizations operate and innovate. To address its growing influence, Viet Nam’s National Assembly enacted the Law on Artificial Intelligence 2025 on 10 December 2025, taking effect from 1 March 2026, to clearly define roles and responsibilities throughout the AI ecosystem. While this regulatory milestone accelerates innovation, it also brings critical challenges for businesses in ensuring data and technology compliance.

The security vulnerability CVE-2025-55182 directly impacts React and Next.js, enabling remote code execution without authentication. With the vWAF application firewall, systems running React/NextJS on GreenNode are proactively protected against widespread exploitation attempts.

Platform engineering vs DevOps: Are they different? Discover how Platform engineering builds on DevOps to reduce developer cognitive load and scale delivery through Internal Developer Platforms.

In this guide, we’ll break down what a GPU cluster is, how it works, and what’s involved in building one. You’ll learn about core components, architecture design, real-world use cases, and best practices for deploying scalable GPU infrastructure. Let’s dive in!

Deploying machine learning models bridges the gap between experimentation and execution. In this guide, we’ll explain what model deployment actually means, learn how to deploy machine learning models, and explore future trends that keep machine learning models reliable and efficient in production.