NVIDIA Ampere A100 PCIe 80GB Passive Cooling
The NVIDIA Ampere A100 PCIe GPU is engineered for enterprises and researchers demanding high-performance AI acceleration without active cooling complexity. With 80GB of unified memory and passive cooling design, this data center GPU delivers exceptional throughput for machine learning, deep learning, and scientific computing workloads. Ideal for organizations scaling AI infrastructure, the A100 PCIe variant offers seamless integration into existing server environments with reliable, maintenance-free operation.
Key Features
- 80GB unified memory for large-scale AI model training and inference
- Passive cooling design eliminates active fan maintenance and noise
- PCIe form factor for flexible deployment in standard server architectures
- 300W power efficiency optimized for data center environments
- Tensor cores accelerate matrix operations for machine learning frameworks
- Multi-instance GPU (MIG) technology for workload consolidation
- NVLink-ready architecture for multi-GPU scaling
- Enterprise-grade reliability for 24/7 production deployments
Technical Specifications
| Specification |
Details |
| Manufacturer |
STRATEGIC SOURCING |
| Part Number |
WGWR4 |
| GPU Architecture |
NVIDIA Ampere |
| Memory |
80GB HBM2e |
| Memory Bandwidth |
2.039 TB/s |
| Form Factor |
PCIe |
| Power Consumption |
300W |
| Cooling |
Passive |
| Tensor Performance |
312 TFLOPS (FP32) |
| Interface |
PCIe 4.0 |
Frequently Asked Questions
What is the NVIDIA A100 PCIe GPU best used for?
The NVIDIA Ampere A100 PCIe excels in AI training, inference acceleration, high-performance computing, and data analytics. Its 80GB memory capacity supports large language models, computer vision applications, and scientific simulations in enterprise data centers.
Why choose passive cooling for a data center GPU?
Passive cooling eliminates fan maintenance, reduces operational noise, and improves reliability in dense server environments. The A100's passive design maintains optimal thermal performance while reducing total cost of ownership for large-scale deployments.
How does the 80GB memory benefit machine learning workloads?
The 80GB unified memory enables training of larger models without data movement bottlenecks, reducing training time and improving GPU utilization. This capacity supports batch processing and complex model architectures essential for production AI systems.
Is the A100 PCIe compatible with existing server infrastructure?
Yes, the PCIe form factor integrates directly into standard server slots with PCIe 4.0 support, making deployment straightforward without specialized hardware modifications. The 300W power requirement fits standard data center power budgets.
