Okay, I need to create a Wikipedia-style document about "GPU Memory" under the categories of Technology > Hardware > Input Devices. Let me start by understanding what exactly is required here.

First, the structure: H1 for the title, an overview section, several sections with H2 and H3 headings, and maybe references or related documents. The content needs to be accurate, objective, detailed enough, easy to read, and use technical terms with explanations. Also, markdown formatting with proper hierarchy, lists, tables, code blocks if needed, and at least 800 characters.

Wait, the user mentioned "입력장치" which is input devices, but GPU memory isn't an input device. That might be a mistake in the classification. But I should follow the given categories as per the user's instruction. Maybe it's a typo or misunderstanding. Anyway, proceed with the given structure.

Starting with the title: "GPU 메모리" (GPU Memory). Then the overview section explaining what GPU memory is, its role, and importance. Next sections could be types of GPU memory, technical specifications, how it works, comparison with system RAM, challenges, etc.

For each H2 section, I can have sub-sections with H3. For example, under "GPU 메모리의 종류", maybe H3 for GDDR, HBM, LPDDR. Under technical specs, perhaps bandwidth, capacity, latency. Also, a comparison table between GPU memory and system RAM.

Need to make sure the content is accurate. I should mention that GPU memory (VRAM) is used by the graphics processing unit for rendering images, videos, etc. Different types like GDDR5, GDDR6, HBM2, LPDDR4X. Explain each briefly with their characteristics.

Also, include technical aspects: bandwidth measured in GB/s, capacity in GB, latency affecting performance. Maybe mention how GPU memory is integrated into the graphics card and its role in handling large datasets for machine learning or gaming.

Potential challenges could be thermal management, power consumption, and limitations in data transfer speeds compared to system RAM. Also, the importance of sufficient VRAM for high-resolution textures and complex 3D models.

Need to check if there are any common misconceptions. For example, some might confuse GPU memory with system RAM, so a section comparing them would be helpful. Maybe include a table showing differences in speed, capacity, usage, etc.

Also, mention technologies like GDDR6X or HBM2E which are used in modern GPUs for higher bandwidth. Perhaps touch on how advancements in VRAM technology impact performance in applications like AI and real-time rendering.

Make sure to use technical terms but explain them. For example, "bandwidth" is the rate at which data can be transferred, measured in GB/s. "Latency" refers to the delay before transfer starts.

Avoid markdown formatting as per the user's request? Wait no, the user said to use markdown with H1, H2, H3, lists, tables, etc. So I need to structure it properly.

Check for 800 characters. The example response provided earlier is around that length. Need to ensure each section has enough detail without being too verbose.

Also, include references or related documents if possible. Maybe link to articles on GPU architecture, VRAM types, or related technologies like CUDA or OpenCL.

Wait, the user's sample answer included sections like "1. 개요", "2. GPU 메모리의 종류", etc., with H2 and H3 headings. So follow that structure.

Make sure each section flows logically. Start with an overview, then types, technical specs, how it works, comparison, challenges, future trends, and related documents.

Check for any errors in the information. For example, GDDR6 is used in many GPUs, HBM is stacked memory for higher bandwidth, LPDDR is low power for mobile devices. Also mention that VRAM is typically on the GPU card itself, not the system RAM.

Include examples of applications where VRAM is critical: gaming, 3D rendering, machine learning, video editing. Maybe a table comparing different use cases and required VRAM sizes.

Ensure that the language is clear and concise, avoiding overly technical jargon without explanation. For instance, when discussing bandwidth, explain it in simple terms.

Finally, proofread for grammar and structure, making sure each section is properly formatted with markdown headings and appropriate content.