Micron Technology, Inc. MT4JTF12864AZ-1G4D1 1GB DDR3 1333 Desktop RAM
- 1GB
- DDR3 1333 (PC3 1060…
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HPE
NVIDIA T4 GPU accelerator with 16 GB memory for deep learning and HPC workloads
The HP T4Number graphics card delivers 16 GB of memory for compute workloads. It uses the NVIDIA T4 chipset with CUDA cores to accelerate deep learning and high-performance computing tasks. The single-slot form factor fits compatible HPE ProLiant servers. It targets IT teams that need efficient inference and training performance.
This card serves data-centre workloads such as AI inference, virtual desktop infrastructure, and scientific simulation. It lacks video ports, so it cannot drive monitors directly. Buyers who need a GPU for rendering, gaming, or multi-monitor setups should look at a different product class.
The 16 GB frame buffer determines the maximum model size and batch count that fit on the device. Workloads requiring larger datasets need a card with more memory. Verify that your server platform supports the card's physical dimensions and power envelope before purchase.
| Brand | HPE |
|---|---|
| Chipset Manufacturer | NVIDIA |
| GPU | T4 |
| Memory Size | 16GB |
The card is designed for select HPE ProLiant server families; check the server quick-specs for the exact supported models and any required riser or power cable.
Yes, it installs in a standard PCIe 3.0 x16 slot and operates at PCIe 3.0 speeds; the 16 GB memory and CUDA cores remain fully functional.
Run nvidia-smi or the HPE iLO GPU health view; both should show the T4 with 16 GB memory, driver version, temperature and utilisation metrics.
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