Image shown is a representation only.
| Manufacturer | NVIDIA Corporation |
|---|---|
| Manufacturer's Part Number | 900-2G600-0010-000 |
| Description | NVIDIA; Product Type: Graphic Card; API Supported: DirectX 12, OpenGL 4.5, OpenCL, DirectCompute 5.0; Card Height: Full-height; Platform Supported: PC, Linux; Host Interface: PCI Express 3.0 x16; |
| NAME | DESCRIPTION |
|---|---|
| Chipset Manufacturer: | NVIDIA |
| Standard Memory: | 24 GB |
| Cooler Type: | Passive Cooler |
| Chipset Series: | M |
| Product Name: | Tesla M40 Graphic Card |
| Chipset Model: | M40 |
| Platform Supported: | PC, Linux |
| Brand Name: | NVIDIA |
| Memory Technology: | GDDR5 |
| Form Factor: | Plug-in Card |
| Chipset Line: | Tesla |
| Marketing Information: |
Power your data center with the world’s fastest deep learning training accelerator. Deep learning is redefining what’s possible, from image recognition and natural language processing to neural machine translation and image classification. From early-stage startups to large web service providers, deep learning has become the fundamental building block in delivering amazing solutions for end users. Deep learning models typically take days to weeks to train, forcing scientists to make compromises between accuracy and time to deployment. The NVIDIA Tesla M40 GPU accelerator, based on the ultra-efficient NVIDIA Maxwell™ architecture, is designed to deliver the highest single precision performance. Together with its high memory density, this makes the Tesla M40 the world’s fastest accelerator for deep learning training. Running Caffe and Torch on the Tesla M40 delivers the same model within hours versus days on CPU-based compute systems |
| Length: | 10.5 " |
| Product Type: | Graphic Card |
| Host Interface: | PCI Express 3.0 x16 |
| Card Height: | Full-height |
| Energy Star: | Yes |
| Bus Width: | 384 bit |
| API Supported: | DirectX 12, OpenGL 4.5, OpenCL, DirectCompute 5.0 |
| Height: | 4.4 " |
| Slot Space Required: | Dual |
