Nvidia A100-40G GPU
Арт. 50947
1 098 626 ₽
Характеристики
Модель
:
Nvidia A100-40G
Детали
:
NVIDIA A100-40G delivers efficient performance for AI inference and training, optimized for data centers with mid-range computational needs.
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Обзор
Nvidia A100-40G Обзор
The NVIDIA A100-40G, a data center-grade AI inference and training GPU, offers optimized performance for mid-range computational needs. This powerful processor ensures efficient performance, making it ideal for engineers and data scientists tackling complex machine learning tasks and other demanding workflows.
Nvidia A100-40G Product Highlights
- Efficient AI Inference
- Strong Training Capability
- Data Center Optimization
- Mid-range Computational Power
- High Performance GPU
Product Features Comparison
| Features | Nvidia A100-40G | Nvidia A100-80G | Nvidia V100 | AMD Instinct MI100 | Google TPU v4 | Intel Habana Gaudi | Nvidia T4 |
|---|---|---|---|---|---|---|---|
| Memory Size | 40 GB | 80 GB | 32 GB | 32 GB | 16 GB | 32 GB | 16 GB |
| Memory Bandwidth | 1,555 GB/s | 2,039 GB/s | 900 GB/s | 1,232 GB/s | 700 GB/s | 1,023 GB/s | 300 GB/s |
| Processing Power | 19.5 TFLOPS | 15.7 TFLOPS | 14 TFLOPS | 11.5 TFLOPS | N/A | N/A | 8.1 TFLOPS |
| Inference Efficiency | High | High | Medium | Low | Medium | Medium | Medium |
| Training Performance | Optimal | Optimal | Strong | Mid-tier | High | High | Low |
| Use Case | Data Centers | Heavy Workloads | Research | Enterprise | Cloud Services | AI Development | Small Data Centers |
Nvidia A100-40G Product Application Scenarios
- AI Model Training
- Data Analytics
- Scientific Computing
Optional Add-ons
| Accessory Model | Description |
|---|---|
| HGX A100 4-GPU Baseboard | Multi-GPU expansion for larger workloads |
| Mellanox ConnectX-6 VPI | High-speed networking adapter |
| NVIDIA NVSwitch | Interconnect for seamless multi-GPU communication |
Get More Information
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Модель
Nvidia A100-40G
Детали
NVIDIA A100-40G delivers efficient performance for AI inference and training, optimized for data centers with mid-range computational needs.
