Brand: PNY | Category: GPUs
SKU: TCSA10080GB-4X-LR | Part #: TCSA10080GB-4X-LR | MPN: TCSA10080GB-4X-LR
Contact for Pricing — Request a Quote
PNY NVIDIA A100 80GB PCIe 4.0 GPU Accelerator is the proven workhorse for enterprise HPC, AI training, and data analytics at scale. With widespread adoption across hyperscale infrastructure and established ecosystem support, the A100 continues to deliver exceptional performance-per-watt for production AI workloads while maintaining backward compatibility with existing systems.
Key Features:
Perfect for:
| Brand | PNY |
| Category | GPUs |
| SKU | TCSA10080GB-4X-LR |
| Part Number | TCSA10080GB-4X-LR |
| Condition | New |
| Form Factor | PCIe 4.0 x16 Card |
| GPU Memory | 80GB HBM2e |
| Memory Interface | HBM2e |
| Peak FP32 Performance | 1248 TFLOPS |
| Peak TF32 Performance | 1248 TFLOPS |
| Peak FP64 Performance | 624 TFLOPS |
| Memory Bandwidth | 2.039 TB/s |
| L2 Cache | 40 MB |
| Host Interface | PCIe 4.0 x16 |
| PCIe Bandwidth | 64 GB/s |
| Max Power Consumption | 250W |
| GPU Architecture | NVIDIA Ampere |
The PNY NVIDIA A100 80GB PCIe 4.0 GPU Accelerator accelerates AI/ML training and inference, scientific HPC and virtualised GPU workloads in data-centre servers. Typical deployments include model training clusters, inference serving, computer-vision pipelines and rendering farms.
Key specifications for the PNY NVIDIA A100 80GB PCIe 4.0 GPU Accelerator: new condition; form factor PCIe 4.0 x16 Card; gpu memory 80GB HBM2e; memory interface HBM2e; peak fp32 performance 1248 TFLOPS; peak tf32 performance 1248 TFLOPS; peak fp64 performance 624 TFLOPS. Manufacturer part number TCSA10080GB-4X-LR. For the full datasheet with electrical, environmental, and compliance details, contact our pre-sales engineering team.
The PNY NVIDIA A100 80GB PCIe 4.0 GPU Accelerator needs a GPU-qualified server with adequate power and cooling for its TDP, plus NVIDIA CUDA driver support in your hypervisor or bare-metal OS. Our team confirms chassis qualification, slot or baseboard type and PSU headroom before quoting.