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| Product Overview |
|---|
The NVIDIA Tesla M40 is a high-capacity GPU designed mainly for intensive computational tasks like deep learning and scientific simulations. It fits into systems needing reliable, large-memory GPUs with strong parallel processing capabilities, commonly deployed in data centers or research environments focused on AI development and high-performance computing. |
| General Information | |
|---|---|
| Brand | Nvidia |
| Part Number | NVIDIA Tesla M40 |
| Technical Information | |
|---|---|
| Chipset | Nvidia |
| GPU Clock | 948 MHz |
| Bus Interface | PCI Express 3.0 x16 |
| Supported APIs | OpenCL, CUDA |
| Output Interface | No display outputs (compute accelerator) |
| Suggested PSU | 600W |
| Power Connectors | 1 x 6-pin PCIe |
| Memory | |
|---|---|
| Memory Size | 24GB |
| Interface | GDDR5 |
| Memory Bus | 384-bit |
| Physical Characteristics | |
|---|---|
| Slot Width | Dual-slot |
| Weight | 3.00 |
| Condition | Refurbished |
| Miscellaneous | |
|---|---|
| Assembly Required | Yes |
| Eco Friendly | Yes |
| Compliance Standards | WEEE, RoHS, CE, FCC, UL, TUV |
| Product Description |
|---|
The NVIDIA Tesla M40 is designed to accelerate complex computations and large-scale data processing. It's commonly used in deep learning model training, scientific simulations, and other GPU-intensive applications. Researchers, data scientists, and engineers often rely on this GPU to handle demanding workloads with efficiency. Key Features
The Tesla M40 typically appears in data centers and research labs where heavy computation is routine. It helps speed up tasks that would otherwise take significantly longer on traditional CPUs, enabling faster insights and development cycles. |