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| Product Overview |
|---|
The NVIDIA A10 24GB GDDR6 PCI Express graphics card delivers strong performance for AI and data center applications, fitting into standard server configurations while providing ample memory and fast data transfer speeds. Its balance of compute and graphics capabilities makes it suitable for a variety of professional settings where heavy processing is needed. |
| General Information | |
|---|---|
| Brand | Nvidia |
| Part Number | 900-2G133-0020-100 |
| Technical Information | |
|---|---|
| Chipset | Nvidia |
| Bus Interface | PCI Express 4.0 x16 |
| Supported APIs | DirectX 12, OpenGL: 4.6, OpenCL, Vulkan: 1.2.175 , CUDA, Shader Model: 6.7, DirectCompute |
| Output Interface | None (data center card; no display outputs) |
| Memory | |
|---|---|
| Memory Size | 24GB |
| Interface | GDDR6 |
| Memory Bus | 192-bit |
| Physical Characteristics | |
|---|---|
| Slot Width | Dual Slot (full-height) |
| Weight | 3.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, cURus, CE, FCC, CCC, UL, TUV, cULus, CSA, cUL |
| Product Description |
|---|
The NVIDIA A10 24GB GDDR6 PCI Express video graphics card is built for intensive computational tasks, delivering powerful graphics and processing capabilities. It is commonly used in data centers and workstations that require accelerated AI, machine learning, and visualization performance. Professionals in fields like deep learning, scientific computing, and rendering gain significant benefits from its robust architecture. Key Features
This card is often found powering servers and workstations in data centers or enterprise environments where processing power and memory capacity are critical. It plays an important role in accelerating complex workloads and improving overall system throughput. |
| Use Cases |
|---|
The NVIDIA A10 24GB GDDR6 PCI Express graphics card is designed for integration into data center and enterprise server environments where AI inference, machine learning, and high-performance computing workloads demand robust GPU resources. Organizations running virtualization platforms or deploying GPU-accelerated applications in rack-mounted servers will benefit from its balanced compute and graphics capabilities. How It's Used:
This graphics card's combination of high memory capacity and PCIe connectivity helps maintain operational efficiency and scalability in demanding server environments. Its compatibility with standard full-height server slots ensures straightforward integration into existing IT infrastructure, supporting complex workloads without compromising performance. |