NVIDIA Tesla
GPU computing processor | 2 GPUs | Tesla K80 | 24 GB GDDR5 | PCIe 3.0 x16 | fanless | for ProLiant XL250a Gen9 Accelerator Tray
Main Specification
| Product Description | NVIDIA Tesla - GPU computing processor - 2 GPUs - Tesla K80 - 24 GB |
|---|---|
| Device Type | GPU computing processor |
| Bus Type | PCI Express 3.0 x16 |
| Graphics Engine | 2 GPUs - NVIDIA Tesla K80 |
| Memory | 24 GB GDDR5 |
| CUDA Cores | 4992 |
| API Supported | OpenCL, DirectCompute |
| Fanless | Yes |
| Dimensions (WxDxH) | 3.8 cm x 26.7 cm x 11.2 cm |
| Designed For | ProLiant XL250a Gen9 Accelerator Tray |
General
| Device Type | GPU computing processor - fanless |
|---|---|
| Bus Type | PCI Express 3.0 x16 |
| Graphics Engine | 2 GPUs - NVIDIA Tesla K80 |
| CUDA Cores | 4992 |
| API Supported | OpenCL, DirectCompute |
| Features | Nvidia CUDA technology, Error Correcting Codes (ECC) Memory, NVIDIA Parallel DataCache, Kepler GPU Architecture, Dynamic Parallelism, Hyper-Q, Nvidia SMX Engine |
Memory
| Size | 24 GB |
|---|---|
| Technology | GDDR5 SDRAM |
| Bandwidth | 480 GBps |
System Requirements
| OS Required | SuSE Linux Enterprise Server 11, Red Hat Enterprise Linux 5, Red Hat Enterprise Linux 6, Microsoft Windows Server 2012 R2 |
|---|
Miscellaneous
| Power Consumption Operational | 300 watt |
|---|---|
| Compliant Standards | WEEE |
| Width | 3.8 cm |
| Depth | 26.7 cm |
| Height | 11.2 cm |
| Weight | 1 kg |
Compatibility Information
| Designed For | HPE ProLiant XL250a Gen9 Accelerator Tray |
|---|
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: J0G95A
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04/06/2026 03:32:44