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| Product Overview |
|---|
The Cisco NVIDIA Tesla A40 48GB Deep Learning GPU graphics card is designed to deliver substantial computational power for AI and deep learning applications. It fits well into data center environments and enterprise servers where heavy processing and large memory capacity are essential for efficient workloads. |
| General Information | |
|---|---|
| Brand | Cisco |
| Part Number | 699-2G133-0200-C00 |
| Technical Information | |
|---|---|
| Chipset | Nvidia |
| Bus Interface | PCIe 4.0 x16 |
| Supported APIs | DirectX 12, OpenGL: 4.6, OpenCL, OpenCL: 3.0, Vulkan: 1.3, CUDA, Shader Model: 6.7, DirectCompute |
| Memory | |
|---|---|
| Memory Size | 48GB |
| Interface | GDDR6 |
| Memory Bus | 384-bit |
| Physical Characteristics | |
|---|---|
| Slot Width | 2-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 Cisco NVIDIA Tesla A40 is built to accelerate deep learning, AI, and high-performance computing tasks. It is commonly used in data centers and research environments where intensive computational power is required. Often found in machine learning model training and scientific simulations, the Tesla A40 offers a solid balance of memory capacity and processing speed. Professionals involved in AI development, data science, and complex simulations benefit from its capabilities. Key Features
This GPU is typically deployed in enterprise servers and high-end workstations where large-scale AI training or rendering tasks are performed. Its large memory buffer and computing power allow smoother workflows for data-heavy applications. In practical use, it helps reduce training times and improve the accuracy of AI models, making it a key component in AI research and development setups. |