The Nvidia Tesla P100 PCIe 16GB HBM2 refurbished unit, identified by model code 9002H4030000000, brings Pascal architecture performance to data center and simulation workloads at a lower entry point. This card leverages high bandwidth memory and optimized FP16/FP32 throughput to accelerate demanding tensor and matrix operations.
Refurbished variants are inspected, tested, and validated to meet original specifications, making them suitable for professional rendering, compute nodes, and development platforms where cost efficiency is essential.
| Model Identifier | Architecture | Memory Type | Memory Capacity | Typical Use Cases |
|---|---|---|---|---|
| 9002H4030000000 Tesla P100 | Pascal | HBM2 | 16 GB | Deep learning training, HPC, 3D rendering |
| Form Factor | PCIe 3.0 x16 | Bus Width | 4096-bit | Workstation and blade servers |
| Refurbished Status | Factory Recertified | Cooling Solution | Active Heat Sink | Eligible for enterprise warranty |
| FP32 Performance | ~10.6 TFLOPS | FP16 Performance | ~20.2 TFLOPS | Mixed precision workflows |
Specifications And Feature Set Of The Tesla P100 16GB
Compute Capability And Precision Modes
The Tesla P100 incorporates Pascal architecture with specialized execution units for both dense and sparse operations. It supports FP64, FP32, TF32 (where available), FP16, and Int8/Int4 quantization depending on framework integration. These modes allow tuning between accuracy and throughput for inference or simulation tasks.
Memory Subsystem And Bandwidth Optimization
16 GB of HBM2 stacked memory delivers high bandwidth at lower power compared to traditional GDDR5 configurations. The 4096-bit interface combined with efficient memory compression reduces data movement bottlenecks in large matrix workloads. This configuration suits models that require substantial parameter storage without excessive latency.
Performance In Real World Workloads
Deep Learning Training And Inference
In training scenarios, the P100 provides reliable throughput for moderate batch sizes and medium scale models, particularly when mixed precision is enabled. For inference, low latency and high concurrency make it a candidate for edge compute nodes or embedded AI appliances.
High Performance Computing And Simulation
Workloads involving fluid dynamics, finite element analysis, and molecular modeling benefit from the double precision performance and large memory footprint. Refurbished units enable research teams to access Pascal performance at reduced cost while maintaining deterministic compute behavior.
Refurbishment Process And Quality Assurance
Testing, Grading, And Compliance
Manufacturers and authorized refurbishers typically perform burn-in tests, memory scrubbing, and thermal validation. Units are graded against original equipment manufacturer standards and may include updated firmware to ensure compatibility with current drivers and operating systems.
Deployment Considerations And Integration
Power, Cooling, And System Compatibility
Power requirements must be planned around the typical thermal design power of the P100, ensuring adequate headroom in chassis power supplies. Cooling solutions should maintain acceptable junction temperatures during sustained loads to preserve performance and longevity in dense configurations.
Key Takeaways For Adopting The Tesla P100 16GB Refurbished
- Verify PCIe generation and system compatibility to maximize bandwidth and reduce bottlenecks.
- Check thermal design power and airflow to maintain stable performance during prolonged compute sessions.
- Review grading and testing documentation to confirm memory integrity and compute unit health.
- Confirm driver and software stack support for your specific frameworks and operating environment.
- Factor in warranty and support options to mitigate risk in production or research deployments.
FAQ
Reader questions
What is the difference between a new and a refurbished Tesla P100 16GB?
A refurbished Tesla P100 16GB undergoes testing, cleaning, and often component replacement to meet original specifications, while a new unit is unused and directly from the manufacturer with full packaging and latest logistics updates.
Is the 9002H4030000000 Tesla P100 suitable for deep learning training?
Yes, this card supports mixed precision training and large matrix operations common in deep learning, making it suitable for many models when memory and batch size are appropriately managed.
Can this refurbished card be used in a multi-GPU workstation?
It can be used in multi-GPU workstations provided the system has sufficient PCIe lanes, power delivery, and cooling; driver and firmware compatibility should be verified with the workstation vendor.
What warranty options are available for a refurbished Tesla P100?
Warranty terms vary by seller, but many refurbishers offer a 90-day to 1-year parts and labor warranty, with options to extend service through third-party or manufacturer coverage plans.