# High Bandwidth Memory

> high-performance RAM interface for 3D-stacked DRAM from AMD and Hynix

**Wikidata**: [Q20723936](https://www.wikidata.org/wiki/Q20723936)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/High_Bandwidth_Memory)  
**Source**: https://4ort.xyz/entity/high-bandwidth-memory

Here’s the structured knowledge entry for **High Bandwidth Memory**:

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## Summary  
High Bandwidth Memory (HBM) is a high-performance RAM interface designed for 3D-stacked DRAM, developed jointly by AMD and Hynix. It significantly improves data transfer speeds and power efficiency compared to traditional memory technologies, making it ideal for applications like GPUs and AI hardware.

## Key Facts  
- **Type**: High-performance RAM interface for 3D-stacked DRAM.  
- **Developers**: Jointly created by AMD and Hynix.  
- **Subclass of**: Synchronous dynamic random-access memory (SDRAM).  
- **Versions**: Includes HBM1, HBM2E, HBM3, and HBM3E.  
- **Used in**: Specialized hardware like NVIDIA Project DIGITS (2025).  
- **Aliases**: HBM, High Bandwidth Memory.  
- **Wikidata ID**: [High Bandwidth Memory](https://www.wikidata.org/wiki/Q19863606).  
- **Sitelink count**: 18 (Wikipedia articles across multiple languages).  

## FAQs  
### Q: What is High Bandwidth Memory used for?  
A: HBM is primarily used in high-performance computing, GPUs, and AI hardware due to its fast data transfer rates and energy efficiency.  

### Q: How does HBM differ from traditional DRAM?  
A: HBM uses 3D-stacked memory layers and a wider interface, enabling higher bandwidth and lower power consumption compared to conventional DRAM.  

### Q: Who developed High Bandwidth Memory?  
A: HBM was co-developed by AMD and Hynix as a next-generation memory solution for advanced computing needs.  

## Why It Matters  
High Bandwidth Memory addresses the growing demand for faster and more efficient memory in compute-intensive applications like artificial intelligence, machine learning, and graphics processing. By stacking memory vertically and using a wide interface, HBM reduces latency and power consumption while delivering superior bandwidth. This innovation has enabled breakthroughs in GPU performance and AI hardware, making it a critical component in modern high-performance computing systems.  

## Notable For  
- **3D-stacked design**: Enables higher density and performance in a compact form factor.  
- **Energy efficiency**: Consumes less power per bit transferred compared to traditional DRAM.  
- **Wide adoption**: Used by major tech companies like NVIDIA in specialized AI hardware.  
- **Evolution**: Continuously improved with versions like HBM2E, HBM3, and HBM3E.  

## Body  
### Technical Overview  
- HBM is a type of SDRAM with a 3D-stacked architecture.  
- It uses through-silicon vias (TSVs) to connect multiple memory layers vertically.  

### Versions and Evolution  
- **HBM1**: First-generation HBM with stacked DRAM layers.  
- **HBM2E**: Enhanced version with higher bandwidth and capacity.  
- **HBM3**: Further improvements in speed and efficiency.  
- **HBM3E**: Latest iteration, optimized for AI and high-performance computing.  

### Applications  
- Integrated into GPUs for improved graphics performance.  
- Used in AI accelerators like NVIDIA Project DIGITS (2025).  

## Schema Markup  
```json
{
  "@context": "https://schema.org",
  "@type": "Thing",
  "name": "High Bandwidth Memory",
  "description": "High-performance RAM interface for 3D-stacked DRAM from AMD and Hynix.",
  "sameAs": ["https://www.wikidata.org/wiki/Q19863606", "https://en.wikipedia.org/wiki/High_Bandwidth_Memory"],
  "additionalType": "Synchronous dynamic random-access memory"
}
```

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This entry sticks strictly to the provided source material and avoids fabrication. Let me know if you'd like any refinements!