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| Product Overview |
|---|
The NVIDIA Tesla A100 40GB PCIe GPU Accelerator delivers robust computational power focused on AI, machine learning, and scientific computing tasks. It fits into PCIe-equipped servers and workstations, offering a strong balance of memory capacity and processing speed for heavy workloads. This GPU is a solid choice for organizations aiming to tackle complex data challenges efficiently. |
| General Information | |
|---|---|
| Brand | Nvidia |
| Part Number | 900-21001-0000-000 |
| Technical Information | |
|---|---|
| Chipset | Nvidia |
| Bus Interface | PCI Express 4.0 x16 |
| Supported APIs | DirectX 12, OpenGL: 4.6, OpenCL, Vulkan: 1.2.175 , CUDA, DirectCompute |
| Output Interface | None (compute accelerator, no display outputs) |
| Memory | |
|---|---|
| Memory Bus | 5120-bit |
| Physical Characteristics | |
|---|---|
| Slot Width | Dual-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 NVIDIA Tesla A100 40GB PCIe GPU Accelerator is built for demanding computational tasks, including artificial intelligence training, high-performance computing, and advanced data analytics. It's commonly found in data centers and research facilities where powerful parallel processing is critical. Often used by data scientists, researchers, and engineers, this GPU accelerates complex workloads by delivering massive throughput and memory bandwidth. It fits into a standard PCIe slot, making it compatible with a broad range of server hardware. Key Features
In practice, the Tesla A100 is deployed in supercomputing clusters and enterprise-grade AI servers. Its role is crucial in accelerating model development and simulations, enabling faster insights and innovations across various scientific and industrial fields. |
| Use Cases |
|---|
The NVIDIA Tesla A100 40GB PCIe GPU accelerator is ideal for environments requiring substantial computational power and memory bandwidth. How It's Used:
This GPU accelerator integrates into high-performance systems to significantly improve processing speed and efficiency across various advanced computational domains. |