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Cisco UCSX-GPU-T4-MEZZ | UCS X-Series T4 GPU Module, 16GB GDDR6, 75W Mezzanine

SKU:UCSX-GPU-T4-MEZZ

Stock Status: Enquire

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Description

The Cisco UCSX-GPU-T4-MEZZ is a mezzanine GPU module designed for Cisco UCS X-Series compute nodes, featuring the NVIDIA Tesla T4 with 16GB GDDR6 memory and 2560 CUDA cores. Built on NVIDIA Turing architecture with 320 Tensor Cores, it delivers 8.1 TFLOPS FP32 and 130 TOPS INT8 performance for AI inference, machine learning, and video transcoding workloads. With 75W passive cooling and PCIe Gen3 x8 connectivity, it integrates directly into UCS X210c M6 servers for scalable GPU acceleration in enterprise data centers.

Features

NVIDIA Turing architecture with 2560 CUDA cores for versatile compute acceleration
- 320 Tensor Cores optimized for multi-precision AI inference (FP16, INT8, INT4)
- 40 RT Cores for real-time ray tracing workloads
- 16GB GDDR6 memory with 320 GB/s bandwidth for high-throughput data processing
- PCIe Gen3 x8 mezzanine interface for direct integration with UCS X210c M6 compute nodes
- 75W passive thermal design optimized for dense server deployments
- NVENC and NVDEC hardware engines for accelerated video encoding and decoding
- Supports up to 38 concurrent 1080p video streams for transcoding applications
- vGPU support for virtual desktop infrastructure and multi-tenant cloud workloads
- TensorRT acceleration for optimized neural network inference
- ECC memory support for data integrity in mission-critical applications
- Cisco Intersight cloud management for unified GPU lifecycle and monitoring
- Hot-swappable installation in UCS X-Series front mezzanine GPU cage (supports dual T4 configuration)

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 (Turing architecture)
- Memory: 16GB GDDR6
- Memory Bandwidth: 320 GB/s
- CUDA Cores: 2560
- Tensor Cores: 320
- RT Cores: 40
- FP32 Performance: 8.1 TFLOPS
- FP16 Mixed-Precision: 65 TFLOPS
- INT8 Performance: 130 TOPS
- INT4 Performance: 260 TOPS
- Interface: PCIe Gen3 x8 Mezzanine
- Power Consumption: 75W
- Cooling: Passive (server-integrated)
- Form Factor: Mezzanine module for Cisco UCS X-Series
- Compatibility: Cisco UCS X210c M6 compute nodes, UCSX-X10C-GPUFM front mezzanine GPU module (supports up to two T4 GPUs)
- Management: Cisco Intersight

FAQs

Q: Which Cisco UCS servers support the UCSX-GPU-T4-MEZZ?
A: This mezzanine GPU module is designed for Cisco UCS X-Series compute nodes, specifically the UCS X210c M6. The front mezzanine GPU cage (UCSX-X10C-GPUFM) can accommodate up to two T4 GPU modules, each connecting via PCIe Gen3 x8 interface.

Q: What workloads is the T4 GPU optimized for?
A: The NVIDIA T4 excels at AI inference, machine learning inference, video transcoding (up to 38 simultaneous 1080p streams), virtual desktop infrastructure (VDI), natural language processing, and recommendation systems. Its Tensor Cores accelerate mixed-precision FP16 and INT8 operations for efficient inference at scale.

Q: How is the UCSX-GPU-T4-MEZZ cooled?
A: This GPU module uses passive cooling, relying on the UCS X-Series server's integrated airflow and thermal management. The 75W TDP enables efficient operation without dedicated fans, reducing noise and power consumption in dense data center deployments.

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. If deploying multiple GPUs, all installed modules must be the same model (e.g., all T4 GPUs).

Q: What management tools are used with this GPU module?
A: The UCSX-GPU-T4-MEZZ is managed through the Cisco Intersight cloud-based management platform in Intersight Managed Mode (IMM), providing unified configuration, monitoring, and lifecycle management for GPU-accelerated UCS X-Series infrastructure.

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