HMCG94AEBRA102N: Technical Guide to SK Hynix 8GB HBM2E Memory Stack

Introduction

The HMCG94AEBRA102N is an 8GB High Bandwidth Memory 2E (HBM2E) stack manufactured by SK Hynix, featuring vertically-stacked DRAM dies with 1024-bit interface delivering 460 GB/s bandwidth per stack for AI accelerators, GPUs, and HPC systems requiring extreme memory performance with proven 8-high die stacking technology.

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Technical Overview

Core Specifications

Parameter	Specification
Capacity	8GB per stack
Stack Height	8-High (8H)
Interface Width	1024-bit
Data Rate	3.6 Gbps per pin
Bandwidth	460 GB/s per stack
Voltage	1.2V
Power	12-15W per stack

Key Features

Proven 8GB Capacity:

• Industry-standard 8-high stacking
• Mature, high-yield manufacturing
• Optimal thermal characteristics
• Cost-effective vs 16GB variants

Extreme Bandwidth:

• 460 GB/s per stack
• 1024-bit parallel interface
• Aggregate: 1.84-3.68 TB/s (4-8 stacks)

Advanced Technology:

• TSV (Through-Silicon Via) 3D stacking
• Integrated ECC support
• Low power consumption (~31 GB/s/W)
• JEDEC HBM2E compliant

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Key Specifications

Memory Organization

Parameter	Value
Capacity per Stack	8GB (64 Gb)
Stack Configuration	8-High (8H)
Capacity per Die	1GB (8 Gb)
Channels	8 independent
Interface Width	1024-bit (128-bit × 8)

Performance

Parameter	Typical
Bandwidth	460 GB/s
Data Rate	3.6 Gbps
Access Latency	100-120 ns
Power Efficiency	~31 GB/s/W

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Applications

AI Training & Inference

Deep Learning:

• BERT, GPT-2/3 training (smaller models)
• Computer vision (ResNet, YOLOv8)
• Recommendation systems
• Real-time inference serving

Multi-Stack Configurations:

• 4× stacks = 32GB (standard AI GPU)
• 5× stacks = 40GB (NVIDIA A100 40GB)
• 8× stacks = 64GB (high-end configurations)

High-Performance Computing

Scientific Applications:

• Molecular dynamics simulations
• Computational Fluid Dynamics (CFD)
• Weather modeling
• Quantum chemistry calculations

Advantages:

• 460 GB/s sustains computation
• 8GB per stack sufficient for HPC datasets
• Lower cost than 16GB variants

Graphics & Visualization

Professional GPUs:

• 4K/8K video editing
• Real-time ray tracing
• CAD/CAM workstations
• Scientific visualization

Typical Configuration:

• 4× HMCG94AEBRA102N = 32GB total
• Adequate for professional graphics workloads

Data Center Accelerators

Cloud Computing:

• Virtualized GPU instances
• Multi-tenant AI inference
• Database acceleration
• In-memory analytics

Conclusion

The HMCG94AEBRA102N delivers proven 8GB HBM2E performance with 460 GB/s bandwidth in mature 8-high stacking technology, providing optimal balance of capacity, cost, and reliability for mainstream AI accelerators, HPC systems, and professional GPUs. As the industry-standard HBM2E configuration, it enables high-performance computing at scale.

Key Advantages:

✅ 8GB Proven Capacity: Industry-standard configuration
✅ 460 GB/s Bandwidth: Extreme memory throughput
✅ Mature Technology: High yield, proven reliability
✅ Cost-Effective: Lower cost than 16GB variants
✅ Wide Adoption: Standard in A100, MI100, professional GPUs
✅ SK Hynix Quality: Leading HBM manufacturer

Designing AI/HPC systems? Visit AiChipLink.com for memory architecture consultation.

 

 

 

 

 

Written by Jack Elliott from AIChipLink.

 

AIChipLink, one of the fastest-growing global independent electronic   components distributors in the world, offers millions of products from thousands of manufacturers, and many of our in-stock parts is available to ship same day.

 

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