CUDA
CUDA is the parallel computing platform and programming model developed by NVIDIA with the purpose of harnessing their GPUs for the acceleration of general computing, machine learning, and neural networks. GPUs have thousands of cores which, naturally, make them better at parallel processing than a regular CPU.
Because of the widespread use of NVIDIA GPUs, the CUDA platform is the most widely supported platform by machine learning libraries and common frameworks such as:
- PyTorch
- TensorFlow
- Keras
- MXNet
- Caffe2
- and many more...
Complete Solution
- Fully Integrated
- Onboard GPU, CPU, RAM & eMMC
- No expansion required for AI Functionality
Industrial
- Rugged Design to resist shock and vibration
- Rich in Industrial I/O such as COM, DIO, CAN and more
- Waterproof & Dustproof Options
- Wide input voltage range options
- Wide Temperature Operation
Compact
- The specialized embedded Jetson GPU allows for a compact design
- Jetson units generate significantly less heat than General Purpose GPUs
- Mount options including in-vehicle or in-cabinet
Connectivity
- Wi-Fi connectivity
- 10Gb Ethernet options
- PoE options
- 4G, LTE and 5G enabled
NO MOVING PARTS
Fanless Options
Removing the fan eliminates the highest-risk mechanical component in an industrial deployment — and shrinks the enclosure at the same time.
See All NVIDIA Jetson Computers →Reduce Dust
Reduce unwanted dust inside the unit.
Reliability
Fan failure can damage all other components due to overheating.
No Moving Parts
Moving parts are sensitive to shock and vibration and are a high-risk point of failure.
Form Factor Flexibility
The removal of the fan allows for a smaller footprint device.
