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| Processor | |
| Graphics processor | Tesla M4 |
| CUDA | ![]() |
| CUDA cores | 1024 |
| Graphics processor family | NVIDIA |
| Peak floating point performance (single precision) | 2200 Gflops |
| Memory | |
| Graphics card memory type | GDDR5 |
| Memory bus | 128 bit |
| Memory bandwidth (max) | 88 GB/s |
| Discrete graphics card memory | 4 GB |
| Ports & interfaces | |
| Interface type | PCI Express x16 |
| Weight & dimensions | |
| Weight | 234.9 g |
| Height | 68.6 mm |
| Depth | 167.6 mm |
| Energy management | |
| Minimum system power supply | 50 W |
| Design | |
| Form factor | Full-Height/Full-Length (FH/FL) |
| Cooling type | Passive |
| Performance | |
| TV tuner integrated | ![]() |
| EAN | 3536403348878 |
| Warranty | 2 years |
| Source: Icecat.biz | |
The world’s first accelerator for the hyperscale data center.
The Tesla M4 GPU brings the power of the Tesla Accelerated Computing Platform to the
hyperscale data center. This is a low-power, small form factor GPU accelerator optimized
for video transcoding, image processing, and machine learning inference that efficiently
offloads demanding applications and boosts data center throughput.
Exploding volumes of user-generated data are redefining what’s required for hyperscale data centers. Today’s cloud applications harness valuable data to deliver smarter, real-time expe- riences using modern video and image processing and deep learning techniques. These appli- cations can benefit greatly from GPU acceleration in the data center.
The NVIDIA Tesla M4 is the world’s first accelerator designed for hyperscale servers, ena- bling customers to keep up with ever-growing amount of data. It’s engineered to accelerate application throughput in a small, low-power design, slashing data center costs by half and deliver up to 7x more power-efficient processing than CPUs for deep learning at 20 images/sec/watt, inference, machine learning prediction, and video workloads.
The combination of the Tesla accelerated computing platform and NVIDIA hyperscale software suite provides an end-to-end solution to build and deploy modern hyperscale applications.
The Tesla M4 GPU brings the power of the Tesla Accelerated Computing Platform to the
hyperscale data center. This is a low-power, small form factor GPU accelerator optimized
for video transcoding, image processing, and machine learning inference that efficiently
offloads demanding applications and boosts data center throughput.
Exploding volumes of user-generated data are redefining what’s required for hyperscale data centers. Today’s cloud applications harness valuable data to deliver smarter, real-time expe- riences using modern video and image processing and deep learning techniques. These appli- cations can benefit greatly from GPU acceleration in the data center.
The NVIDIA Tesla M4 is the world’s first accelerator designed for hyperscale servers, ena- bling customers to keep up with ever-growing amount of data. It’s engineered to accelerate application throughput in a small, low-power design, slashing data center costs by half and deliver up to 7x more power-efficient processing than CPUs for deep learning at 20 images/sec/watt, inference, machine learning prediction, and video workloads.
The combination of the Tesla accelerated computing platform and NVIDIA hyperscale software suite provides an end-to-end solution to build and deploy modern hyperscale applications.
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The above technical details are for reference only and may change without notice. We reserve the right to correct printing errors and use illustrations for guidance. Some text may be auto-generated or machine-translated, which could lead to inaccuracies.


