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Cisco UCSC-GPU-M60 | Tesla M60 Graphics Card, Dual GPU, 16GB GDDR5, PCIe 3.0

SKU:UCSC-GPU-M60

Stock Status: Enquire

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Description

The Cisco UCSC-GPU-M60 is an NVIDIA Tesla M60 GPU accelerator designed for high-performance virtual desktop infrastructure (VDI), virtualized workstations, and graphics-intensive applications. Featuring dual Maxwell GPUs with 4096 CUDA cores and 16GB GDDR5 memory, this passive-cooled PCIe 3.0 card delivers professional-grade graphics virtualization for up to 32 concurrent users. Compatible with Cisco UCS C-Series rack servers, it enables enterprises to virtualize demanding professional graphics applications and deliver them to any device, anywhere.

Features

Dual NVIDIA Maxwell GM204 GPUs with 4096 total CUDA cores for parallel processing
- 16GB GDDR5 graphics memory enables handling of large datasets and complex visualizations
- NVIDIA GRID vGPU technology for graphics virtualization and multi-user support
- Hardware-accelerated H.264 and H.265 video encoding for up to 36 simultaneous streams
- PCIe 3.0 x16 interface for high-bandwidth connectivity to host server
- Passive thermal solution optimized for data center rack-mount servers
- Supports up to 32 concurrent users (16 per GPU) with NVIDIA GRID software
- ECC memory support for enhanced data integrity in enterprise environments
- Single-precision floating-point performance of approximately 4.8 TFLOPS
- Full-height, full-length dual-slot form factor compatible with standard PCIe slots
- Professional-grade graphics capabilities for CAD, 3D rendering, and visualization
- Remote desktop protocol optimization for low-latency virtual workstation access

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 Architecture: NVIDIA Maxwell (dual GM204 GPUs)
- CUDA Cores: 4096 total (2048 per GPU)
- Memory: 16GB GDDR5 total (8GB per GPU)
- Memory Bandwidth: 160.4 GB/s
- Base Clock: 557 MHz
- Boost Clock: 1178 MHz
- Form Factor: PCIe 3.0 x16, dual-slot, full-height, full-length
- Power Consumption: 300W TDP (passive cooling)
- Power Connector: 8-pin PCIe
- Board Length: 10.5 inches (267mm)
- Max Users per Board: 32 (16 per GPU)
- H.264 Encoding: 36x 1080p30 streams
- Compatible with: Cisco UCS C240 M4 rack servers
- NVIDIA GRID vGPU support for graphics virtualization

FAQs

Q: What is the primary use case for the UCSC-GPU-M60?
A: The UCSC-GPU-M60 is designed for VDI (virtual desktop infrastructure) deployments, virtualized workstations, and graphics virtualization. It works with NVIDIA GRID software to deliver professional graphics applications to remote users, supporting up to 32 concurrent virtual desktop sessions per card.

Q: Which Cisco UCS servers are compatible with this GPU?
A: The UCSC-GPU-M60 is compatible with Cisco UCS C240 M4 rack servers in both large form factor and small form factor disk drive configurations. The server must provide adequate airflow as this is a passive-cooled card requiring proper system cooling.

Q: Does this GPU require active cooling or special airflow?
A: The UCSC-GPU-M60 uses passive cooling and requires adequate system airflow to operate within thermal limits. It must be installed in servers with proper front-to-rear or rear-to-front airflow design and sufficient chassis cooling capacity for a 300W TDP component.

Q: What type of workloads is the Tesla M60 optimized for?
A: The Tesla M60 is optimized for graphics virtualization, VDI workloads, professional visualization applications, CAD/CAM, 3D modeling, video encoding, and GPU-accelerated compute tasks. It excels in multi-user virtual desktop environments where graphics performance is critical.

Q: What is NVIDIA GRID and how does it work with this GPU?
A: NVIDIA GRID is virtualization software that allows the Tesla M60 to be shared among multiple virtual machines, with each VM receiving dedicated GPU resources. This enables enterprises to deliver GPU-accelerated graphics to virtual desktops and applications, allowing users to run professional graphics software remotely.

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