Description
The World’s Fastest Deep Learning Training Accelerator for Today’s Neural Networks
The NVIDIA® Tesla® M40 is the world’s fastest deep learning training accelerator, purpose-built to train larger, more sophisticated neural networks within hours—versus days on CPU-only systems. It features an NVIDIA Maxwell GPU and 24 GB of large-capacity memory, letting users increase the detection and prediction accuracy of their deep learning models and accelerate time-to-deployment.
Deep learning is redefining what’s possible. From early-stage startups to large web service providers, deep learning has become the fundamental building block in delivering amazing solutions for end users. Today’s leading deep learning models typically take days to weeks to train, forcing data scientists to make compromises between accuracy and time to deployment. The NVIDIA Tesla M40 24GB GPU accelerator is the world’s fastest accelerator for deep learning training, purpose-built to dramatically reduce training time. Running Caffe and Torch on the Tesla M40 delivers the same model within days versus weeks on CPU based compute systems. Some of the world’s largest data centers take advantage of Tesla accelerators to deliver unprecedented system throughput. The Tesla Platform supports industry-standard applications and system management tools, making it easier than ever before for IT managers to maximize uptime and system performance. Deliver faster discoveries and scientific insights to your users by deploying GPU accelerators in your data center. With broad support for HPC developer tools like MPI, scientific libraries, and OpenACC, most applications offer performance boost with GPUs today.
| Feature |
Feature Value |
| Graphics processor family |
NVIDIA |
| Graphics processor |
Tesla M40 |
| CUDA |
Yes |
| CUDA cores |
3072 |
| Peak floating point performance (single precision) |
7000 Gflops |
| Discrete graphics card memory |
24 GB |
| Graphics card memory type |
GDDR5 |
| Memory bus |
384 bit |
| Memory bandwidth (max) |
288 GB/s |
| Interface type |
PCI Express x16 3.0 |
| Power consumption (typical) |
250 W |
| Supplementary power connectors |
1x 8-pin |
| Depth |
267.7 mm |
| Height |
111.2 mm |
