GPU Memory Bandwidth Statistics
Interactive analysis of memory bandwidth evolution and technology progression (2007-2025)
Comprehensive memory bandwidth data for 1727 graphics cards from NVIDIA, AMD, and Intel. Explore memory technology evolution from DDR to HBM3 with interactive visualizations.
Memory Bandwidth Evolution Timeline
Top Memory Bandwidth Champions by Year
Memory Technology Distribution
Memory Bandwidth Efficiency by TDP
Efficiency analysis showing GB/s per watt across manufacturers and memory types
Memory Bandwidth Performance Leaders
Champions by Year (2020-2025)
| Year | Champion GPU | Manufacturer | Memory Bandwidth | Memory Type |
|---|
Efficiency Leaders (GB/s per Watt) (2020-2025)
| Rank | GPU | Manufacturer | Efficiency | Bandwidth | TDP | Memory Type | Year |
|---|
Performance Extremes (2020-2025)
| Category | GPU | Manufacturer | Value | Bandwidth | TDP | Memory Type | Year |
|---|
What is Memory Bandwidth?
Memory Bandwidth measures how much data can be transferred between the GPU and its video memory per second, expressed in GB/s (Gigabytes per second). It's calculated as: Memory Frequency × Bus Width × 2 ÷ 8.
Critical For:
- High-resolution gaming (4K, 8K)
- Ray tracing and complex shaders
- AI/ML model training
- Professional rendering
- Video editing and encoding
Technology Evolution:
- 32-512 GB/s: Legacy Era (2007-2015)
- 107.1-819 GB/s: Modern Era (2016-2019)
- 68.3-10,300 GB/s: Recent Era (2020-2025)
Current Champion
Memory Technology Guide
Gaming & Consumer
1000+ GB/s, future high-end gaming
Up to 900+ GB/s, excellent for 4K gaming and ray tracing
400-700 GB/s, mainstream gaming standard
200-450 GB/s, older generation cards
Professional & Datacenter
1000+ GB/s, AI/ML and datacenter workloads
600-1000 GB/s, high-performance computing
400-900 GB/s, first-gen high bandwidth memory
Methodology & Chart Interpretation
Data Sources & Calculations
- Primary Source: TechPowerUp GPU Database - comprehensive GPU specifications
- Data Library: dbgpu by painebenjamin - Python library for GPU data access
- Formula: Bandwidth = Memory Frequency × Bus Width × 2 ÷ 8
- Units: All values displayed in GB/s (Gigabytes per second)
- Coverage: 1727 GPUs with complete memory specifications
Understanding the Charts
- Timeline Chart: Shows memory bandwidth progression over 18+ years
- Linear vs Log Scale: Log scale better shows early GPU evolution
- Top Performers: Highest bandwidth GPUs across all categories by year
- Memory Types: Distribution of GDDR, HBM, and other technologies
- Efficiency Chart: Shows bandwidth per watt across TDP ranges
Power Efficiency: Performance Per Watt Matters
Operational Cost Impact
Power efficiency directly translates to real-world cost savings, especially in enterprise and data center environments:
- Electricity Bills: A 10% efficiency improvement can save thousands annually per server
- Cooling Costs: Lower power consumption reduces HVAC requirements by 30-50%
- Infrastructure Scaling: Higher efficiency allows more GPUs per power circuit
- Total Cost of Ownership: Efficiency improvements compound over 3-5 year lifecycles
Technical and Environmental Benefits
Beyond cost savings, power efficiency enables better system design and sustainability:
- Thermal Management: Efficient GPUs generate less heat, improving stability and longevity
- Battery Life: Critical for mobile workstations and edge computing applications
- Density Improvements: Pack more computing power in the same rack space
- Carbon Footprint: Lower power usage reduces environmental impact
- Performance Headroom: Efficient designs can boost higher within power limits
Efficiency Metrics in Our Analysis
Our efficiency tables show GB/s per Watt - how much memory bandwidth you get per watt of power consumed. This metric helps identify: