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HP Nvidia Tesla M60 16GB Server GPU Accelerator Card PK3RJ - OEM
- Brand: HP
- Part Number: PK3RJ
- MPN: 0PK3RJ
- Model: Tesla M60
- Type: Server GPU Accelerator
- Compatible Brand: For HP
- Compatible Model: For HP ProLiant DL380 Gen9, Apollo 4200, Z840 Workstation, and other PCIe 3.0 x16-enabled HP servers/workstations
- GPU Architecture: NVIDIA Maxwell
- Memory: 16GB GDDR5 ECC
- Memory Bandwidth: 320 GB/s
- CUDA Cores: 2,048
- FP32 Performance: 5.7 TFLOPS
- Interface: PCI Express 3.0 x16
- Max Power Consumption: 300W
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Unlock enterprise-grade computational power with the HP NVIDIA Tesla M60 GPU Accelerator. Designed for data centers and high-performance workstations, this 16GB GDDR5 card leverages NVIDIA Maxwell architecture to accelerate AI, deep learning, scientific simulations, and virtualized workloads. Featuring ECC memory for error-free calculations and GRID vGPU support for up to 8 concurrent users, the M60 excels in shared environments like VDI and cloud rendering. Its passive cooling design integrates seamlessly into HP ProLiant and Apollo servers, delivering 5.7 TFLOPS of single-precision performance while optimizing rack space. Ideal for complex computations in finance, engineering, and machine learning.
Dual-GPU Design: One card houses two M60 GPUs (8GB per GPU via 16GB total) for parallel processing.
ECC Memory: Error-correcting code ensures data integrity in mission-critical applications.
NVIDIA GRID vGPU: Share GPU resources across multiple virtual machines (VMs) for efficient multi-user workflows.
Passive Cooling: Silent operation relies on server chassis airflow for thermal management.
Optimized for HP Ecosystems: Firmware and drivers tuned for HP ProLiant/Apollo systems.
High Compute Density: Ideal for GPU-accelerated workloads like TensorFlow, PyTorch, and MATLAB.
NVIDIA CUDA & DirectX Support: Accelerate scientific computing, ray tracing, and simulation software.
Dual-GPU Design: One card houses two M60 GPUs (8GB per GPU via 16GB total) for parallel processing.
ECC Memory: Error-correcting code ensures data integrity in mission-critical applications.
NVIDIA GRID vGPU: Share GPU resources across multiple virtual machines (VMs) for efficient multi-user workflows.
Passive Cooling: Silent operation relies on server chassis airflow for thermal management.
Optimized for HP Ecosystems: Firmware and drivers tuned for HP ProLiant/Apollo systems.
High Compute Density: Ideal for GPU-accelerated workloads like TensorFlow, PyTorch, and MATLAB.
NVIDIA CUDA & DirectX Support: Accelerate scientific computing, ray tracing, and simulation software.
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Warranty, Returns, And Additional Information
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- Return for refund within: 30 days
- Return for replacement within: 30 days
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