NVIDIA A100 80GB PCIe GPU | Ampere Architecture with NVLink & MIG Support
NVIDIA A100 80GB PCIe GPU – Ampere Architecture for AI, HPC & Data Analytics
High-Performance NVIDIA A100 80GB PCIe GPU for Deep Learning, HPC & Data Center Acceleration (PN: 900-21001-0020-000)
The NVIDIA A100 80GB PCIe GPU (Part Number: 900-21001-0020-000) delivers next-generation AI acceleration, unmatched performance, and exceptional scalability for modern data centers. Built on the NVIDIA Ampere architecture, it provides up to 80GB of high-bandwidth HBM2e memory and supports Multi-Instance GPU (MIG) technology, allowing multiple workloads to run simultaneously with optimal efficiency.
With NVLink, PCIe Gen4, and 2,039 GB/s of memory bandwidth, the A100 PCIe 80GB GPU empowers demanding AI training, HPC simulations, and data analytics tasks. Designed for data center servers and cloud environments, it offers flexible deployment for both inference and training at scale.
Whether you're powering machine learning models, running deep neural networks, or accelerating scientific computing, the A100 PCIe 80GB GPU is a cornerstone for high-performance, energy-efficient GPU computing.
📊 Product Specifications: NVIDIA A100 80GB PCIe GPU
CLICK HERE FOR SPECIFICATIONS SHEET
| Specification | Details |
|---|---|
| Model / Part Number | NVIDIA A100 80GB PCIe GPU (900-21001-0020-000) |
| Architecture | NVIDIA Ampere (GA100 GPU) |
| CUDA Cores | 6,912 |
| Tensor Cores | 432 (3rd Gen) |
| GPU Memory | 80GB HBM2e |
| Memory Bandwidth | 2,039 GB/s |
| NVLink Support | Yes, via NVLink Bridge (PCIe variant supports limited NVLink) |
| MIG (Multi-Instance GPU) | Up to 7 GPU instances |
| FP64 Performance | 9.7 TFLOPS |
| FP32 Performance | 19.5 TFLOPS |
| TF32 (Tensor Float 32) | 156 TFLOPS |
| FP16 / BF16 Tensor | 312 TFLOPS |
| INT8 Tensor | 1,248 TOPS |
| Form Factor | PCI Express Gen4 x16 |
| Cooling | Passive (requires server airflow) |
| TDP | 300 W |
| Dimensions | Full-height, full-length dual-slot card |
| Weight | ~4.9 lbs (2.2 kg) |
| Supported Frameworks | TensorFlow, PyTorch, Caffe, MXNet, CUDA, and more |
| Certifications | NVLink Ready, MIG Enabled, DGX Certified |
| Use Case | AI training/inference, HPC workloads, data analytics, cloud computing |
💬 Frequently Asked Questions (FAQs)
Q1: What is the difference between the A100 80GB PCIe and SXM4 models?
A1: The PCIe model offers lower power (300 W vs. 400 W), easier server integration, and broader compatibility, while SXM4 provides higher bandwidth and tighter NVLink scaling.
Q2: Does the A100 80GB PCIe support NVLink?
A2: Yes, but with limited bandwidth compared to the SXM4 variant — ideal for multi-GPU setups in PCIe server configurations.
Q3: What makes the A100 80GB ideal for AI workloads?
A3: With Tensor Core acceleration and MIG partitioning, it handles training, inference, and analytics with exceptional efficiency.
Q4: Can I use this GPU in a standard workstation?
A4: It’s primarily designed for data center servers with sufficient airflow, not consumer workstations.
Q5: What warranty coverage is available?
A5: Most authorized resellers offer a 3-year limited manufacturer or refurbished warranty depending on condition.
