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| Product Overview |
|---|
The JWV46 Dell NVIDIA A2 Tensor Core video graphics card offers dedicated AI acceleration through its Tensor Cores and ample 16GB GDDR6 memory, making it suitable for professional environments focused on machine learning and data analysis. It fits into Dell systems designed to handle demanding AI workloads and enhances computational efficiency in these settings. |
| General Information | |
|---|---|
| Brand | Dell |
| Part Number | JWV46 |
| Technical Information | |
|---|---|
| Chipset | Nvidia |
| Supported APIs | DirectX 12, OpenGL: 4.6, OpenCL, Vulkan: 1.2.175 , CUDA, Shader Model: 6.7, DirectCompute |
| Output Interface | None |
| Power Connectors | None |
| Memory | |
|---|---|
| Memory Size | 16GB |
| Interface | GDDR6 |
| Memory Bus | 128-bit |
| Physical Characteristics | |
|---|---|
| Slot Width | Single Slot |
| 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 JWV46 Dell NVIDIA A2 Tensor Core video graphics card is designed to handle intensive AI and machine learning tasks with its dedicated Tensor Cores and ample video memory. This card is often found in workstations and servers where AI inference and data analytics are critical. Built for professionals who require efficient AI acceleration, the graphics card supports complex computations and helps speed up workflows in environments such as research labs, data centers, and enterprise setups. Key Features
This graphics card is typically deployed in AI-focused workstations and servers where processing speed and accuracy are paramount. Its role is to offload AI inference tasks from the CPU, streamlining complex computations without compromising system stability. |