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Cisco UCSX-GPU-T4MEZZ-D | NVIDIA T4 Graphics Card, 16GB GDDR6, 75W, Mezzanine

SKU:UCSX-GPU-T4MEZZ-D

Stock Status: Enquire

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Description

The Cisco UCSX-GPU-T4MEZZ-D features an NVIDIA T4 Tensor Core GPU in a compact mezzanine form factor for Cisco UCS X-Series servers. With 16GB GDDR6 memory, 2560 CUDA cores, and 320 Tensor Cores, it accelerates AI inference, machine learning, virtual desktop infrastructure, and data analytics workloads. The passive cooling design and 75W TDP enable high-density GPU deployments in space-constrained data center environments.

Features

NVIDIA Turing architecture with 2560 CUDA cores and 320 Tensor Cores for multi-precision AI acceleration
- 16GB GDDR6 memory with 300 GB/s bandwidth and ECC support for reliable compute operations
- Multi-precision compute: 8.1 TFLOPS FP32, 65 TFLOPS FP16/FP32 mixed, 130 TOPS INT8, 260 TOPS INT4
- 40 RT Cores for real-time ray tracing acceleration
- vGPU virtualization support with flexible 1GB to 16GB profiles for VDI and cloud workloads
- Energy-efficient 75W TDP design enables high-density GPU deployments
- Passive cooling solution optimized for blade server environments
- PCIe Gen3 x16 interface with 32 GB/s bidirectional bandwidth
- Mezzanine form factor preserves PCIe slots for additional expansion cards
- Supports CUDA, NVIDIA TensorRT, ONNX, and OpenCL APIs
- Optimized for AI inference, video transcoding, virtual workstations, and HPC workloads
- Direct integration with Cisco UCS X210c M6/M7 Compute Nodes
- Supports up to two GPUs per compute node for increased performance density

Warranty

All products sold by XS Network Tech include a 12-month warranty on both new and used items. Our in-house technical team thoroughly tests used hardware prior to sale to ensure enterprise-grade reliability.

All technical data should be verified on the manufacturer data sheets.

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Technical Specifications

FAQs

Technical Specifications

GPU: NVIDIA Tesla T4 with Turing architecture
- CUDA Cores: 2560
- Tensor Cores: 320 Turing Tensor Cores
- RT Cores: 40
- GPU Memory: 16GB GDDR6
- Memory Bandwidth: 300 GB/s (up to 320 GB/s)
- Memory Interface: 256-bit
- Power Consumption: 75W TDP
- System Interface: PCIe Gen3 x16
- Interconnect Bandwidth: 32 GB/s
- Form Factor: Mezzanine (MEZZ)
- Cooling: Passive
- ECC Memory: Yes
- Compute Performance: 8.1 TFLOPS (FP32), 65 TFLOPS (FP16/FP32 mixed), 130 TOPS (INT8), 260 TOPS (INT4)
- vGPU Support: vGPU profiles 1GB, 2GB, 4GB, 8GB, 16GB
- Compatible with: Cisco UCS X210c M6/M7 Compute Nodes, UCS X-Series modular systems

FAQs

Q: What Cisco UCS servers is the UCSX-GPU-T4MEZZ-D compatible with?
A: This mezzanine GPU is designed for Cisco UCS X-Series modular systems, specifically the X210c M6 and X210c M7 Compute Nodes. Up to two T4 mezzanine GPUs can be installed per compute node, providing flexible GPU acceleration in a compact footprint.

Q: What workloads is the NVIDIA T4 GPU optimized for?
A: The T4 GPU excels at AI inference, deep learning inference, machine learning, virtual desktop infrastructure (VDI), video transcoding, data analytics, and real-time rendering. Its multi-precision Tensor Cores support FP32, FP16, INT8, and INT4 operations, making it versatile for diverse enterprise AI and compute workloads.

Q: Does the UCSX-GPU-T4MEZZ-D support NVIDIA vGPU virtualization?
A: Yes, the NVIDIA T4 is fully vGPU-ready and supports multiple vGPU profiles ranging from 1GB to 16GB. This enables GPU resource sharing across multiple virtual machines for VDI deployments, virtual workstations, and cloud graphics applications using NVIDIA GRID or vComputeServer software.

Q: What is the advantage of the mezzanine form factor?
A: The mezzanine form factor integrates directly into the UCS X210c Compute Node without consuming a PCIe slot, maximizing available expansion slots for other accelerators or network adapters. The compact design and passive cooling enable high-density GPU deployments while maintaining efficient airflow in blade server chassis.

Q: Can I mix different GPU models in the same UCS X-Series server?
A: No, GPU models cannot be mixed on a single Cisco UCS X-Series server. All GPUs installed in a compute node or connected PCIe nodes must be the same model to ensure proper resource allocation and driver compatibility.

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