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Computer hardware is the set of physical parts you can touch inside and around a computer: the processor, motherboard, memory, storage, graphics card, power supply, case, and the peripherals connected to them. Software is the instructions; hardware is what executes them. This explainer covers the core components, how they connect and depend on each other, the line between internal parts and peripherals, and why compatibility matters when you build or upgrade. It applies to desktops and laptops running any operating system, though the Linux Hardware Database at linux-hardware.org is a useful reference when you want to check whether specific parts are known to work under Linux.

The core internal components

A computer is a set of parts that pass data and power between each other. Each has one main job:

CPU and motherboard

The CPU sits in a socket on the motherboard, and the two must match: the socket type, chipset, and firmware support determine which processors a board accepts. The motherboard also carries the RAM slots, expansion slots, storage ports, and the connections for power and front-panel buttons. In practice, the motherboard is the part that decides what else you can install.

RAM and storage

RAM is volatile: it holds the data of programs currently running and is cleared when power is removed. Storage is non-volatile: it keeps the operating system, applications, and files. More RAM helps when many programs run at once; faster or larger storage mainly affects how quickly things load and save. RAM must match the motherboard's supported type and generation, while storage must match an available port (SATA or M.2/NVMe).

GPU, PSU, and case

The GPU handles graphics output and can be a separate card in a PCIe slot or integrated into the CPU. A discrete card adds its own power draw and physical size, which brings in the PSU and case. The PSU must supply enough power with the right connectors, and the case must fit the board size, card length, and cooler height while providing airflow. These three are where build mistakes most often show up: a card that does not fit, a PSU without the needed cable, or a case with poor ventilation.

How the parts depend on each other

No component works alone. The CPU needs the motherboard for its socket and power, the motherboard needs RAM and storage to be useful, the GPU needs a slot and power, and everything needs the PSU and a case to sit in. A single mismatch can stop a build: a CPU that does not fit the socket, RAM of the wrong generation, a card too long for the case, or a PSU too weak for the load. This interdependence is why compatibility checks matter more than any single part's specifications.

Internal parts vs. peripherals

Internal components live inside the case and are required for the computer to run. Peripherals are external devices connected through ports: keyboard, mouse, monitor, printer, webcam, and external drives. They are input/output devices — they let you send commands and receive results — but the computer can boot and run without most of them. The distinction is practical: when something fails, internal parts usually prevent startup or cause instability, while a peripheral problem usually affects only one function.

Why hardware compatibility matters

When building or upgrading, check compatibility before buying. The key questions are: does the CPU fit the motherboard socket and firmware, does the RAM match the board's supported type, does the storage match an available port, does the GPU fit the case and have PSU power, and does the PSU have enough capacity and the right connectors? For Linux users, one more check helps: whether the specific part is known to work with the kernel and drivers. The Linux Hardware Database (linux-hardware.org) records detailed hardware information and compatibility reports, so you can look up a laptop, desktop, or individual component before committing. Treat it as a reference point, not a guarantee — a part listed as working is evidence, not a promise for every configuration.

A quick way to reason about any PC

Ask three questions about any machine: what parts does it contain, how are they connected, and do they match? Identify the CPU socket and motherboard chipset, the RAM type and amount, the storage interface, the GPU and its power needs, and the PSU capacity. If those line up, the hardware is coherent. If you are upgrading, change one part at a time and verify the matching parts still fit — that habit prevents most build and upgrade problems.

raylib is a simple, easy-to-use programming library for making videogames, written for C and usable from C++. It is code-first: there is no fancy interface, no visual helpers, no GUI tools or editors — you build games by writing code. That makes it a good fit if you already know some C or C++ and want direct control without an engine's editor layer, or if you want a small library you can learn from a cheatsheet and a pile of examples. If you want a drag-and-drop scene editor, raylib is deliberately not that.

What raylib actually is

raylib is a library, not a game engine. You write a program, call raylib functions for windows, input, graphics, audio, and math, and compile it like any other C program. The project describes itself as "a programming library to enjoy videogames programming; no fancy interface, no visual helpers, no gui tools or editors... just coding in pure spartan-programmers way."

Two consequences follow from that design:

• You learn by reading code. The project states it does not provide the typical API documentation or a big set of tutorials. Instead, it is meant to be learned from a cheatsheet covering the required functionality plus a large collection of examples.
• You bring your own structure. There is no editor to organize scenes, assets, or build settings, so project layout and build steps are yours to set up.

How it differs from Unity or Godot

The practical difference is where the work happens.

Neither column is "better" in the abstract. Choose raylib when you want to write the game as a program and keep the toolchain small. Choose an editor-based engine when you want visual scene assembly, asset pipelines, and a guided project structure.

The recommended learning path

The project points to a specific route rather than a tutorial series:

1. Start with the cheatsheet. It lists the functionality you need, so you can see the available calls without reading full API docs.
2. Read the examples. The project's stated position is that the best way to learn to code is reading code, and the examples show how each piece of functionality is used.
3. Use the raylib game template if the options overwhelm you. It provides some structure and a Makefile that are quick to pick up, which is useful when you want a working layout instead of assembling one yourself.
4. Join the Discord community. The project recommends it for staying up to date on raylib news and asking for help. Community-made tutorials also exist outside the official materials.

A concrete first task looks like this: install raylib, open one example that draws something and responds to input, compile and run it unchanged, then modify one value and recompile to confirm your build loop works. That verifies your setup before you write anything original.

Platforms and language bindings

raylib has been tested on multiple target platforms. The project notes that technically any platform supporting the C language and OpenGL graphics (or similar) can run raylib, or can be ported to it fairly easily.

You are not limited to C and C++. There are more than 60 language bindings, so you can use raylib from many other programming languages. If your preferred language is not C, check whether a binding exists before assuming you need to switch languages.

Extending it and what it powers

raylib can be combined with extra libraries for additional functionality. Some of those libraries are already used internally by raylib, while others are provided for you to integrate; most are single-file, header-only, and have no external dependencies — which keeps them easy to drop into a project.

raylib is also the base technology behind the raylib technologies tools: several multiplatform tools have been built with raylib and raygui. That is a useful signal if you want to see what the library looks like at application scale rather than in minimal examples.

Getting started checklist

• Confirm you are comfortable writing and compiling C or C++ (or pick one of the 60+ bindings for a language you already know).
• Accept that there is no editor: your project structure and build configuration are your responsibility.
• Learn from the cheatsheet and the examples rather than expecting full API documentation.
• Use the raylib game template if you want a ready-made structure and Makefile.
• Join the Discord community for news and help.
• Check the extra libraries before writing utility code that may already exist as a single-file dependency.

If that workflow sounds appealing — code, compile, read examples, iterate — raylib is designed exactly for it. If you want a visual editor and a guided project structure, an editor-based engine will get you to a running game with less setup work.

Start with the Get Started with Unity tutorial on Unity Learn, then set up Unity Hub and the Unity Editor before touching any other course. That tutorial is a guided tour of the Editor that ends with you creating your first 3D scene, so it gives you a working environment and a finished result in one sitting. From there, the fastest path is a guided Collection rather than jumping between unrelated tutorials — "Get your first game running" takes you from a blank Unity 6 project to a playable game and covers the editor, C# scripting, physics, and game design fundamentals across 9 resources.

Before you open any tutorial

Unity Learn's beginner Quick Guides assume you have the tooling in place. Do these first, in order:

1. Install Unity Hub — the launcher that manages Editor versions and projects. Unity Learn lists a 10-minute beginner tutorial, "Explore the Unity Hub," for this.
2. Set up the Unity Editor — a 15-minute beginner tutorial covers this. Note that Unity 6.6 is the current release referenced on the site.
3. Create a Unity ID and sign in — Unity Learn's welcome page prompts you to sign in, and course progress and submissions are tied to your account.

If you skip step 2, most tutorials will fail at the first instruction because menu items and project templates won't match what the instructor sees.

The recommended first sequence

Steps 1–3 are short and tooling-focused. Step 4 is where actual game development begins — it's the point where you stop following clicks and start making decisions about your own project.

Choosing a track after the basics

Once you have a playable game, pick a Collection that matches what you want to build. Unity Learn organizes these by goal, not by difficulty:

• Create a 2D game (6 resources) — sprites, physics, Tilemap, skeletal animation, and level design for platformers and roguelikes.
• Create a 3D Game (10 resources) — Rigidbody physics, C# scripting, enemy AI, and Cinemachine cameras for FPS and open-world games.
• Make your game look great (12 resources) — URP, Shader Graph, VFX Graph, real-time lighting, and post-processing.
• Ship your first mobile game (8 resources) — build setup, URP mobile optimization, Addressables, and Unity Gaming Services for iOS and Android.
• Build with Unity AI (10 resources) — the Unity AI Assistant, AI Gateway, and MCP Server inside the Unity 6 Editor, for writing scripts and debugging errors.

Pick one and finish it. Switching between the 2D and 3D tracks mid-way means re-learning a different physics and rendering setup for no benefit.

Pathways vs. Collections vs. courses

Unity Learn uses three formats, and they serve different purposes:

• Quick Guides — single-skill, 10–30 minute tutorials (Hub, Editor setup, publishing, Editor tips and tricks). Use these to unblock a specific tool.
• Collections — resources curated around a single goal, like getting your first game running. Use these when you know what you want to build.
• Pathways — longer guided learning experiences aimed at breaking into the gaming and real-time 3D industries, described as suitable regardless of prior experience. Use these if your goal is employment rather than a single finished project.
• Courses — in-depth topic coverage combining step-by-step tutorials and projects, and many include submissions where you apply what you learned.

Common places beginners get stuck

Starting with a course instead of the Editor setup. Courses assume a configured project. Do the 15-minute setup first.

Treating tutorials as videos to watch. Unity Learn tutorials are step-by-step and expect you to perform each action in the Editor. Reading without doing produces no working scene.

Jumping to "Make your game look great" too early. URP, Shader Graph, and VFX Graph are visual polish. They won't help if your game logic doesn't run yet.

Not finishing a Collection. The value of "Get your first game running" is that it connects editor, scripting, physics, and design into one artifact. Stopping at resource 4 leaves you with disconnected fragments.

What to do after your first complete game

Move to a project-based course in the track you chose, and use the submission feature where available — many courses include submissions so you apply the material rather than just follow it. If your goal is a job in games or real-time 3D, a Pathway is the better next step than another standalone tutorial.

Cascadeur is a 3D animation software built specifically for character animation, combining traditional keyframe work with AI-assisted tools for posing, inbetweening, and motion generation. It fits workflows where you need to block out or refine character motion — game combat animations, previz, mocap cleanup — rather than general-purpose 3D modeling or rendering. You can evaluate it through a free trial before committing.

What Cascadeur Is Designed For

The software targets a specific slice of the animation pipeline: the motion of humanoid and quadruped characters. Its stated use cases are:

• Mocap cleanup — fixing and editing motion capture data, including preventing foot sliding, knee pops, and geometry penetration.
• Previz — rapid blocking of animation for planning.
• Animation editing — making changes through Animation Layers.
• Game prototyping — producing combat, locomotion, and idle animations for games.

One documented production example: Nekki created the combat animations for Shadow Fight 4: Arena in Cascadeur. The game has surpassed 50 million downloads and 1.8 million reviews on Google Play alone.

The Core AI-Assisted Tools

Cascadeur's distinguishing feature is that its AI tools are meant to be editable rather than one-click black boxes. The CTO, Alexander Grishanin, has argued that editable AI matters more than one-click generation — worth keeping in mind if you need to iterate on results rather than accept them.

Inbetweening

AI interpolation that generates motion between your keyframes. You set the key poses; the system fills the gaps, which you can then adjust.

AutoPosing

An AI system that produces natural poses when you move fewer control points. Instead of rotating every joint, you move a few and the system infers a plausible full-body pose.

Ragdoll

A procedural tool that makes characters react to impacts, simulate falls, and handle collisions.

AutoPhysics

Displays a physically accurate result for the character, letting you quickly adjust secondary motion, inertia, and similar properties.

AI Motion Generation

Generates animation types including running, jumping, combat, acrobatics, and idles. This is generation as a starting point, not a final output — the editable framing matters here.

Rigging and Retargeting

• Rigging: drag-and-drop the joints of your character to generate a rig automatically, for both humanoids and quadrupeds (cats, dogs, horses, etc.).
• Retargeting: copy and paste animation between different characters regardless of skeletal structure or proportions. Quadrupeds get one-click retargeting.

How It Fits Into an Existing Pipeline

Cascadeur works with common interchange formats, which determines whether it can slot into your current toolchain:

For Unreal Engine users, UE Live Link streams animation directly into the engine, with changes updating in real time. That's the most direct integration path if your target is a UE project.

When Cascadeur Is a Good Fit — and When It Isn't

Choose it if:

• Your work is character motion: combat, locomotion, acrobatics, idles.
• You need to clean up mocap data and fix common artifacts like foot sliding.
• You want AI assistance that stays editable rather than generating a final clip you can't adjust.
• You're targeting Unreal Engine and want live streaming of animation changes.

Look elsewhere if:

• You need general 3D modeling, texturing, or rendering — Cascadeur is animation-focused.
• Your work is 2D animation or sprite-based.
• You need a fully automated one-click motion pipeline with no keyframe editing.

How to Evaluate It

1. Go to the plans page and start the free trial.
2. Import a character in a supported format (.FBX, .DAE, .GLB/.GLTF, or .USD).
3. Use drag-and-drop rigging to generate a rig, then test AutoPosing by moving a few control points and checking whether the inferred poses are usable.
4. Set two keyframes and run Inbetweening to see whether the generated motion matches your intent.
5. If you use Unreal Engine, connect UE Live Link and confirm that edits update in the engine in real time.

The trial is the practical test: the value of an AI-assisted keyframe tool depends on whether its generated poses and inbetweens are close enough to your target that editing them is faster than animating from scratch.

A graphics card is the component that renders images and video for your display and also handles massively parallel computation. It matters most when you play games, create visual content, or run AI workloads, because those tasks depend on thousands of small calculations happening at once rather than a few complex ones in sequence. When choosing one, match the card to your resolution, software, and power budget rather than chasing the highest number on the box.

What a Graphics Card Actually Does

A graphics card centers on a GPU (graphics processing unit). The GPU differs from a CPU in design intent: a CPU has a small number of powerful cores optimized for sequential logic, while a GPU has thousands of simpler cores optimized for doing the same operation across huge datasets.

That design is why the same hardware serves two very different jobs:

• Rendering — turning 3D scene data into the pixels on your screen, frame after frame.
• Parallel compute — running the matrix math behind AI models, video encoding, and simulation.

NVIDIA states that it invented the GPU and that its hardware drives advances in AI, high-performance computing, gaming, creative design, autonomous vehicles, and robotics. That list is a useful map of what a graphics card can be asked to do beyond gaming.

Core Specs and What They Change

A key trap: core counts and clock speeds are not comparable across generations or brands. A newer architecture with fewer cores can outperform an older one with more. Compare within a generation first.

Matching the Card to the Job

Different workloads stress different parts of the card, so the "best" card depends on what you run.

Gaming

VRAM and bandwidth matter most at higher resolutions. For 1080p, mid-range cards are usually sufficient; for 1440p and 4K, prioritize memory capacity and bandwidth. Also check that your monitor's resolution and refresh rate are actually reachable — a fast card paired with a 60 Hz panel wastes its headroom.

Content Creation

Video editing, 3D rendering, and streaming benefit from hardware encoders and driver stability as much as raw speed. NVIDIA's Studio line is described as high-performance GeForce RTX PCs purpose-built for creators, and NVIDIA App and Studio Drivers are positioned to optimize gaming, streaming, and AI-powered creativity. If you split time between gaming and editing, a single RTX-class card with Studio Drivers can cover both.

AI and High-Performance Computing

Here VRAM capacity often decides what you can run at all, not just how fast. Model weights and activations must fit in memory. NVIDIA's data center and DGX platforms target enterprise-scale model development and deployment, while RTX AI PCs are positioned for local AI work — a useful split when deciding whether a desktop card is enough or you need server-class hardware.

Power, Cooling, and Physical Fit

Before buying, verify three things:

1. Power supply capacity and connectors — high-end cards need dedicated PCIe power cables and a PSU with enough headroom.
2. Case clearance — card length and slot thickness vary widely; measure before ordering.
3. Airflow — sustained performance depends on keeping the card cool; a cramped case throttles a good GPU.

A Simple Selection Checklist

• Decide your target resolution and refresh rate.
• List the software you actually run (games, editors, AI frameworks).
• Check VRAM requirements for that software, especially for AI models.
• Confirm PSU wattage, connectors, and case space.
• Compare cards within the same architecture generation.
• Balance the GPU against your CPU so neither bottlenecks the other.

Where to Go Next

NVIDIA's site organizes products by use case — Gaming (graphics cards and desktops, laptops), Creating (Studio, RTX AI PCs), and Data Center (DGX, Grace CPU) — and notes that regional sites carry local content, pricing, and where-to-buy partners. If you are outside the United States, use your regional NVIDIA page to find purchase options rather than assuming US listings apply.