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Gehäuse Tiefe
Artificial Intelligence and Deep Learning
New techniques change everything, waiting is not an option, the train rolls...
Deep Learning is the fastest growing segment in machine learning/artificial intelligence. It enables the development of complex, multi-layer algorithms based on Deep Neural Networks (DNN). Deep Learning enabled the breakthrough in object, face, image/language recognition, machine translation, big data analysis and natural language processing. The transformative effect of Deep Learning influences many industries such as security, social media, retail, finance and industry 4.0/IoT (Internet of Things). This leads to a fundamentally new way of thinking about the data, technology, products and services offered.
Maximum performance - sysGen Server Solutions
NVlink High Speed Interconnect, maximum throughput for high application performance
NVIDIA® NVLink™ is a high-performance, energy-efficient connection that enables extremely fast communication between a CPU and multiple GPUs and between GPUs. The technology enables data exchange with 5 to 12 times higher data rates than conventional PCIe Gen3 connections. NVlink offers extreme application performance acceleration, creating a new class of high-density, flexible servers for accelerated computing.
Further information can be found here:
NVlink Description
GPU Direct, up to 10 GPUs under Single-Root Complex, GPU-Direct RDMA scaling
As shown in the following diagram, the single-root complex provides exceptional performance within the server and across a cluster of systems connected via InfiniBand. Using GPUDirect RDMA, each GPU in the cluster can directly access the data of another GPU (Remote Memory Access).
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- With GPU Direct
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- Without GPU Direct
Learned how to use - Embedded Solutions
NVIDIA Jetson™ TX2 and TX1 Modules
Get real-time Artificial Intelligence (AI) performance where you need it most with the high-performance, low-power NVIDIA Jetson TX2. Processing of complex data can now be done on-board edge devices. This means you can count on fast, accurate inference in everything from robots and drones to enterprise collaboration devices and intelligent cameras. Bringing AI to the edge unlocks huge potential for devices in network-constrained environments. The Jetson TX2 is an AI supercomputer on a module, powered by NVIDIA Pascal™ architecture. Best of all, it packs this performance into a small, power-efficient form factor that’s ideal for intelligent edge devices like robots, drones, smart cameras, and portable medical devices. It supports all the features of the Jetson TX1 module while enabling bigger, more complex deep neural networks.
NVIDIA Jetson TX1, the world's first module supercomputer, delivers maximum performance and performance efficiency for advanced visual computing applications. It is based on the innovative NVIDIA Maxwell™ architecture with 256 CUDA cores and a performance of more than 1 TFLOPs. With 64-bit CPUs, 4K video encoding and decoding and a 1400 MPix/s camera interface, this is the ideal solution for embedded systems for deep learning, computer vision, graphics and high-performance GPU computing.
It comes preflashed with a Linux environment, supports many popular APIs, and is supported by the complete NVIDIA developer tool suite. The card has many standard hardware interfaces and thus enables a highly flexible and highly expandable platform. It is ideal for all applications that require high computing power with low energy consumption.
Weitere Informationen
NVIDIA Jetson TX2 Developer Kit
The Jetson TX1 Development Kit highlights the hardware capabilities and interfaces of the Jetson TX2 board, comes with design guides and documentation, and is pre-flashed with a Linux development environment. It also supports the NVIDIA Jetpack SDK, which includes the BSP, libraries for deep learning, computer vision, GPU computing, multimedia processing, and more.
The Jetson TX1 Development Kit is a full-featured visual computing development platform that gets your system up and running quickly. It comes preflashed with a Linux environment, supports many popular APIs, and is supported by the complete NVIDIA developer tool suite. The card has many standard hardware interfaces and thus enables a highly flexible and highly expandable platform. It is ideal for all applications that require high computing power with low energy consumption.
It provides developers with all the tools they need to harness the power of the GPU for embedded systems and applications. It is based on the innovative NVIDIA Tegra® K1 SoC and uses the same high-performance NVIDIA Kepler™ cores as many supercomputers around the world. The result is a full-featured NVIDIA CUDA® platform for the rapid development and deployment of compute-intensive systems in areas such as computer vision, robotics, and medicine. Weitere Informationen
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