New GPU for Tesla A100 80GB Tesla A100 40GB Tesla A100 PCle Graphic Card Deep Learning High-performance Computing GPU
Below is a comparison table for the Tesla A100 80GB, Tesla A100 40GB, and Tesla A100 PCIe graphics cards. These cards are designed for high-performance computing, AI, and machine learning workloads.
| Feature | Tesla A100 80GB | Tesla A100 40GB | Tesla A100 PCIe |
|---|---|---|---|
| GPU Architecture | Ampere | Ampere | Ampere |
| Form Factor | SXM4 | SXM4 | PCIe |
| Memory Size | 80 GB HBM2e | 40 GB HBM2 | 40 GB HBM2 |
| Memory Bandwidth | 2.0 TB/s | 1.6 TB/s | 1.6 TB/s |
| FP32 Performance | 19.5 TFLOPS | 19.5 TFLOPS | 19.5 TFLOPS |
| TF32 Performance | 156 TFLOPS | 156 TFLOPS | 156 TFLOPS |
| FP16 Performance | 312 TFLOPS | 312 TFLOPS | 312 TFLOPS |
| INT8 Performance | 624 TOPS | 624 TOPS | 624 TOPS |
| Tensor Cores | 3rd Gen Tensor Cores | 3rd Gen Tensor Cores | 3rd Gen Tensor Cores |
| NVLink Support | Yes (600 GB/s) | Yes (600 GB/s) | No |
| PCIe Interface | N/A | N/A | PCIe 4.0 x16 |
| Power Consumption | 400W | 400W | 250W |
| Cooling Solution | Passive (requires system cooling) | Passive (requires system cooling) | Active (fan-cooled) |
| Use Case | Data centers, AI, HPC | Data centers, AI, HPC | Workstations, AI, HPC |
| Multi-GPU Scaling | Excellent (via NVLink) | Excellent (via NVLink) | Limited (no NVLink support) |
| Release Date | November 2020 | May 2020 | June 2020 |
| Price (Approx.) | Higher (due to double memory) | High | Moderate |
Tesla A100 80GB: The Ultimate AI and HPC Accelerator
- Memory: Equipped with a massive 80GB of HBM2e memory, the Tesla A100 80GB delivers 2TB/s of memory bandwidth, making it ideal for handling the largest datasets and most complex AI models.
- Performance: With 312 TFLOPS of AI performance and 19.5 TFLOPS of FP64 performance, it accelerates AI training, inference, and scientific simulations.
- Use Cases: Perfect for large-scale AI research, deep learning, and HPC applications that require extreme memory capacity and bandwidth.
Tesla A100 40GB: High-Performance Computing Redefined
- Memory: Features 40GB of HBM2 memory with 1.6TB/s of memory bandwidth, providing exceptional performance for AI and HPC workloads.
- Performance: Delivers 312 TFLOPS of AI performance and 19.5 TFLOPS of FP64 performance, ensuring rapid processing for complex computations.
- Use Cases: Ideal for AI training, inference, and mid-to-large-scale HPC tasks in data centers and research labs.
Tesla A100 PCIe Graphic Card: Versatile and Scalable
- Form Factor: Designed in a PCIe form factor, the Tesla A100 PCIe is easy to integrate into existing servers and workstations, making it a flexible solution for data centers and enterprise environments.
- Cooling: Features a dual-slot, active cooling design for optimal thermal performance.
- Power Efficiency: With a maximum power consumption of 250W, it balances high performance with energy efficiency.
- Use Cases: Suitable for AI development, HPC, data analytics, and cloud computing.
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