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- In Stock: 86
- Manufacturer: NVIDIA
- Model or Part: 756822-001
- Condition: Refurbished
- Weight: 3.00lb
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Item Condition
New - Sealed or Open Box ConditionExcellent - Almost-New, Missing Original Packaging
Refurbished - Seller Refurbished, Good Condition, Previously Used Item
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Overview
The NVIDIA PCI-E Grid K2 Dual GPU (rev. Air Flow) is a high-performance accelerator designed for enterprise virtual desktop infrastructure and compute intensive workloads. Featuring two Kepler based GPUs on a single board, this card delivers massive parallel processing power while maintaining efficient thermal management through its dedicated air flow design.
Key Features
- Dual GPU architecture with 3840 CUDA cores for unparalleled parallelism
- 8 GB GDDR5 memory (4 GB per GPU) to handle large data sets and high-resolution graphics
- Optimized air flow cooling system for sustained performance under heavy load
- PCI-E Gen3 x16 interface ensures maximum bandwidth between the host and the accelerator
- Supports NVIDIA GRID vGPU technology for secure multi-user virtualization
- Full compatibility with DirectX 12, OpenGL 4.5 and CUDA 7.0+
Technical Specifications
- Model / Part Number: 756822-001
- GPU Architecture: Kepler (GK104)
- Total CUDA Cores: 3840
- Memory Capacity: 8 GB GDDR5 (dual channel, 4 GB per GPU)
- Memory Bandwidth: 106.7 GB/s per GPU
- Core Clock Speed: up to 950 MHz boost
- PCI Express: Gen3 x16
- Power Consumption: typical 250 W
- Operating Temperature Range: 0 to 85 degrees C
- Form Factor: Full height, double slot
Typical Applications
- Virtual desktop infrastructure (VDI) delivering rich 3D graphics to multiple users
- High-performance computing (HPC) tasks such as scientific simulations and data analytics
- Professional rendering workloads for CAD, BIM and media production
- Machine learning inference and training in enterprise environments
- Remote gaming and cloud based streaming services requiring low latency graphics
This NVIDIA Grid K2 Dual GPU card provides the scalability, reliability and performance needed to power modern virtualized workspaces and compute clusters while keeping thermal footprints under control.