The NVIDIA A100 (Customized) is a high-performance data center GPU designed for AI, machine learning, deep learning, HPC (High-Performance Computing), and large-scale analytics. This customized version provides enhanced performance and memory configurations to meet specific enterprise and research requirements.
The A100 GPU delivers unmatched acceleration for compute-intensive workloads, enabling faster AI model training, high-throughput inference, and large-scale simulations. Its flexible architecture allows for multi-GPU scaling with NVLink, making it suitable for cloud, on-premises, and hybrid deployments.
| Specification | Detail | 
| GPU Architecture | NVIDIA Ampere | 
| CUDA Cores | 6,912–7,680 (depending on customized configuration) | 
| Tensor Cores | 432 (3rd generation) | 
| Memory | 40–80 GB HBM2 or customized options | 
| Memory Bandwidth | 1.6–2.0 TB/s depending on configuration | 
| NVLink Support | Yes, for multi-GPU scaling | 
| PCI Express | PCIe 4.0 x16 or customized interconnect | 
| Form Factor | Dual-slot, full-height, customized for server compatibility | 
| TDP (Thermal Design Power) | 250–400 W depending on configuration | 
| Cooling | Active cooling with server-optimized thermal design | 
| Operating Temperature | 0 °C to 50 °C | 
| Use Cases / Workload Fit | AI/ML training, HPC simulations, deep learning inference, data analytics, multi-GPU clusters | 
| Certifications | CE, FCC, RoHS | 
| Warranty / Support Options | Standard NVIDIA warranty; optional enterprise support and service contracts available |