NVIDIA Tesla
GPU computing processor | Tesla P4 | 8 GB GDDR5 | PCIe 3.0 x16 low profile | fanless | for ProLiant DL380 Gen9
Main Specification
| Product Description | NVIDIA Tesla - GPU computing processor - Tesla P4 - 8 GB |
|---|---|
| Device Type | GPU computing processor - low profile |
| Bus Type | PCI Express 3.0 x16 |
| Graphics Engine | NVIDIA Tesla P4 |
| Memory | 8 GB GDDR5 |
| CUDA Cores | 2560 |
| Memory Interface | 256-bit |
| Fanless | Yes |
| Dimensions (WxDxH) | 16.7 cm x 5.3 cm |
| Designed For | ProLiant DL380 Gen9, DL380 Gen9 Base, DL380 Gen9 Entry, DL380 Gen9 High Performance, DL380 Gen9 Performance, DL380 Gen9 Scale-up SAP HANA Tailored Datacenter Integration Compute Block, DL380 Gen9 Special |
General
| Device Type | GPU computing processor - low profile - fanless |
|---|---|
| Bus Type | PCI Express 3.0 x16 |
| Graphics Engine | NVIDIA Tesla P4 |
| CUDA Cores | 2560 |
| Features | Fanless heatsink, Nvidia CUDA technology, NVIDIA Pascal GPU technology, 5.5 Tflops peak single-precision floating point performance |
Memory
| Size | 8 GB |
|---|---|
| Technology | GDDR5 SDRAM |
| Bus Width | 256-bit |
| Bandwidth | 192 GBps |
Miscellaneous
| Power Consumption Operational | 75 watt |
|---|---|
| Depth | 16.7 cm |
| Height | 5.3 cm |
| Weight | 240 g |
Compatibility Information
| Designed For | HPE ProLiant DL380 Gen9, DL380 Gen9 Base, DL380 Gen9 Entry, DL380 Gen9 High Performance, DL380 Gen9 Performance, DL380 Gen9 Scale-up SAP HANA Tailored Datacenter Integration Compute Block, DL380 Gen9 Special |
|---|
Product features
Develop and Deploy AI at Any Scale
Build new AI models with supervised or unsupervised training for generative AI, computer vision, large language models, scientific discovery, and financial market modeling with NVIDIA accelerators and HPE Cray systems. Get real-time inference for computer vision, natural language processing, fraud detection, predictive maintenance, and medical imaging with NVIDIA accelerators and HPE ProLiant Compute Servers. NVIDIA Accelerators for HPE improve computational performance, dramatically reducing the completion time for parallel tasks, offering quicker time to solutions.NVIDIA Qualified and NVIDIA Certified HPE Servers
NVIDIA Accelerators for HPE undergo thermal, mechanical, power, and signal integrity qualification to validate that the accelerator is fully functional in the server. NVIDIA Qualified configurations are supported for production use. NVIDIA Certified HPE servers are tested to validate both multi-GPU and multi-node performance for a diverse set of workloads to deliver excellent application performance, manageability, security, and scalability.HPE Integrated Lights-Out (iLO) Management
HPE iLO server management software enables you to securely configure, monitor, and update your NVIDIA Accelerators for HPE seamlessly, from anywhere in the world. Integrated Lights-Out (iLO) is an embedded technology that helps simplify server and accelerator set up, health monitoring, power, and thermal control, utilizing HPE's Silicon Root of Trust.Key selling points
- Build new AI models with supervised or unsupervised training for generative AI, computer vision, large language models, scientific discovery, and financial market modeling with NVIDIA accelerators and HPE Cray systems.
- NVIDIA Accelerators for HPE undergo thermal, mechanical, power, and signal integrity qualification to validate that the accelerator is fully functional in the server. NVIDIA Qualified configurations are supported for production use.
- HPE iLO server management software enables you to securely configure, monitor, and update your NVIDIA Accelerators for HPE seamlessly, from anywhere in the world.
References
MPN: Q0V79A
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04/06/2026 05:08:03