The NVIDIA Tesla P100 16GB PCIe GPU (900-2H400-6200-030) delivers exceptional performance for data science, AI training, and HPC workloads. Built on the Pascal architecture, the P100 is engineered with 16GB of high-bandwidth HBM2 memory and supports 732 GB/s memory bandwidth. With 3584 CUDA cores and PCIe Gen 3.0 x16 support, it accelerates complex computational workloads across data centers, workstations, and AI servers.
Designed for power-efficient performance, the P100 enables faster model training, simulation, and data analytics, making it ideal for academic, enterprise, and research applications.
| Category |
Details |
| Part Number |
900-2H400-6200-030 |
| GPU Architecture |
Pascal |
| CUDA Cores |
3584 |
| Memory |
16 GB HBM2 |
| Memory Bandwidth |
732 GB/s |
| Interface |
PCI Express 3.0 x16 |
| Form Factor |
Dual-slot, full-height |
| Max Power Consumption |
250W |
| Compute Performance |
Up to 10.6 TFLOPS (single-precision) |
| ECC Support |
Yes |
| Cooling |
Passive (requires system airflow) |
| Target Applications |
AI/ML, HPC, Data Analytics, Simulation |
| Supported Platforms |
Linux, Windows, CUDA 8.0+ |
| Dimensions |
10.5" x 4.4" (267mm x 112mm) |
| Weight |
~1.76 lbs (0.8 kg) |
❓ Frequently Asked Questions (FAQs)
1. Is the Tesla P100 suitable for gaming?
No, the Tesla P100 is built for professional compute workloads such as AI, deep learning, and simulation, not gaming or consumer graphics.
2. Does it require additional cooling?
Yes. The P100 uses a passive heatsink design and requires adequate system airflow for cooling.
3. Can it be used in workstations?
Yes, as long as your workstation supports PCIe 3.0 x16 and has adequate power and airflow.
4. Does this card support ECC memory?
Yes, ECC (Error-Correcting Code) is supported for high data integrity in compute environments.
5. What's the difference between SXM and PCIe versions?
The PCIe version (this model) offers broader system compatibility, while the SXM2 form factor offers higher interconnect bandwidth in specialized systems.
