HDD stands for hard disk drive, a data storage device that has been in continuous use since IBM introduced the first commercial version in 1956. Nearly seven decades later, despite the rise of solid-state alternatives, HDDs still store a significant share of the world’s data, because the question was never whether HDDs are obsolete, it […]
An AI server is a physical machine that handles the demands of artificial intelligence workloads, training models, running inference, processing the data both require, rather than the general-purpose computing a standard web or application server handles. Cisco’s own market analysis projects the global AI server market to grow from $142.88 billion in 2024 to nearly […]
A bare metal hypervisor is virtualization software installed directly onto physical hardware, with no operating system in between. That single architectural choice, present or absent, is what separates the two fundamentally different categories of hypervisor, and it determines everything from raw performance to what kind of workload each one actually belongs to. This guide explains […]
Buying the right hardware is the easy part of getting a server for machine learning ready. The part that actually consumes time is getting the operating system, the GPU driver, the CUDA toolkit, and the framework version to agree with each other, four layers that each have their own release cadence and their own compatibility […]
Every growing infrastructure eventually hits the same fork in the road. Traffic grows, the database slows, and someone asks the question: do we get a bigger server, or do we get more servers? This is the horizontal vs vertical scaling decision, and it is, at its core, a question about money and failure modes, not […]
A specification sheet tells you how many cores a processor has and how much RAM sits behind it, but it stays silent on something that can matter just as much: where, physically, that memory sits in relation to each core. On a server with more than one processor, this is not a trivial detail. It […]
A GPU dedicated server is, in most cases, the difference between an AI project that runs and one that never gets past the loading screen. A general-purpose processor executes instructions one after another, however fast. A GPU executes thousands of simpler operations at once, and that single design difference is what makes training or running […]
Every server quietly faces a problem most people never think about: the memory itself can make mistakes. A single bit, a one that should be a zero, flips silently inside a stick of RAM, and unless something catches it, that corrupted value flows into whatever the server was doing. So what is ECC RAM? It […]
Read any server specification sheet and you meet the same three words, often used as though they were interchangeable: cores, threads, and vCPUs. They are not interchangeable, and the difference between them decides how much work a machine can genuinely do. A server advertised with 40 threads does not have 40 cores, and a virtual […]
A server sits in a data centre you have never visited, in a rack you will never touch. One morning it stops responding. No SSH, no ping, nothing. The operating system has failed to boot after a kernel update, and every tool you normally use to fix a server depends on that same operating system […]
A single dedicated server works well for streaming, until the audience outgrows it. What comes after is not “a bigger server.” It is a genuine architecture decision, and most platforms that get this wrong do not fail gracefully. They buffer, drop viewers, and lose them permanently. This guide covers how streaming server architecture actually scales, […]
You’ve probably come across the term “bare metal” when researching hosting infrastructure. It sounds technical, maybe even intimidating. But the concept behind it is straightforward, and understanding it could change how you think about the infrastructure powering your applications. This guide explains exactly what a bare metal server is, how it works, how it compares […]