Product Model: Nvidia A100-80G
Retail Price: US$25,739.00
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NVIDIA A100-80G, a top-tier GPU, excels in AI, data analytics, and scientific computing. It empowers data centers with robust performance. Ideal for engineers and researchers, this GPU significantly enhances processing power and efficiency in various computational tasks.
Nvidia A100-80G Product Overview
- High AI performance
- Advanced data analytics
- Compatibility with modern data centers
- Enhanced scientific computing
- Efficient power utilization
Product Comparison
| Feature | Nvidia A100-80G | Nvidia V100 | AMD Instinct MI100 | Tesla T4 | Nvidia A40 | Google TPUs | Nvidia RTX 8000 |
|---|---|---|---|---|---|---|---|
| Memory Capacity | 80GB HBM2e | 32GB HBM2 | 32GB HBM2 | 16GB GDDR6 | 48GB GDDR6 | N/A | 48GB GDDR6 |
| Tensor Cores | 640 | 640 | 768 | 320 | 336 | 128 | 4608 CUDA |
| FP64 Performance | 9.7 TFLOPS | 7.8 TFLOPS | 11.5 TFLOPS | 0.13 TFLOPS | 3.8 TFLOPS | N/A | 0.6 TFLOPS |
| Peak Performance | 312 TFLOPS | 125 TFLOPS | 184.6 TFLOPS | 8.1 TFLOPS | 40 TFLOPS | 100+ PFLOPS | 16.3 TFLOPS |
| Target Use | AI, Analytics | Deep Learning | AI, HPC | Inference | Rendering | AI, ML | Graphics |
Nvidia A100-80G Product Application Scenarios
- Advanced machine learning models
- Complex scientific simulations
- Real-time big data processing
Optional Add-ons
| Model | Description |
|---|---|
| ConnectX-6 VPI | Advanced network adapter for increased connectivity |
| NVSwitch | Network switch for multi-GPU scalability |
| NVIDIA NGC | Comprehensive GPU cloud software suite |
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Nvidia A100-80G Datasheet
Nvidia A100-80G Manual | |
| CUDA Cores | 6912 |
| Memory Size | 80 GB |
| Memory Type | HBM2e |
| Memory Bandwidth | 2039 GB/s |
| TFLOPS (FP32) | 19.5 |
| TFLOPS (FP64) | 9.7 |
| Datatype Support | FP32, FP64, INT8, INT4, INT1 |
| NVLink Bandwidth | 600 GB/s |
| Form Factor | FHFL (Full-height, full-length) |
| Interface | PCIe 4.0 x16 |
| Power Consumption | 400W |
| Manufacturing Process | 7nm |
| Power Connectors | 8-pin |
| Max GPU Temperature | 85°C |
| Cooling Solution | Passive |
| Slot Width | Double Slot |
| Tensor Cores | 432 |
| GPU Architecture | Ampere |
| Deep Learning Acceleration | Yes |
| Driver Support | Windows, Linux |