Introduction
The idea of choosing the right IT solution to put artificial intelligence into practice may seem daunting. The good news is that Dell EMC has done homework, testing, validation and optimization in creating Ready Solutions for AI. First, there are four factors to consider: speed, accuracy, capacity, and cost.
Speed
From the variety of technological innovations that made artificial intelligence possible, GPUs may have had the greatest impact. GPUs, or graphics processing units, offer significant advantages through application acceleration. In short, the analytics and process management you're trying to do can be done much faster using GPUs, from workstations to supercomputers.
Accuracy and Capacity
Performance is the speed at which data can be processed. It is an important consideration because it determines performance, which connects capability and accuracy. NVIDIA® NVLink ™ is a high-bandwidth, energy-efficient interconnect that supports ultra-fast communication between CPU and GPU and between GPUs. Next-generation NVIDIA NVLIA high-speed interconnect technology delivers 2 times more performance than the previous generation. A single NVIDIA Tesla® V100 GPU supports up to six NVLink connections and a total bandwidth of 300 GB / sec.
Cost
There are many costs that must be considered for artificial intelligence solutions, both in terms of hardware and investment in training and support, as new technologies are introduced into existing processes. Expert advice is always recommended and Dell EMC is available with service, support, and financing around the world.
Dell EMC Ready Solutions for AI
Dell-ready EMC solutions for AI can provide the power required for the large number of calculations that must be performed very quickly, for example for facial recognition. With the speed of automatic image and pattern detection, these solutions can help provide a better understanding of the data. And with historical data sets, you can get more detailed information about, for example, media buying behaviour. Dell's EMC Ready Solutions enable you to identify standards, analyze large amounts of data, and automate tasks for better information faster.
Dell's EM-ready EMC solutions are scalable and include servers, storage, networking, and software optimized for IA workloads. Current projects include Machine Learning with Hadoop and Deep Learning with NVIDIA.
Dell EMC automatic learning with Hadoop
Dell EMC machine learning with Hadoop is based on the power of Dell EMC ready and tested solutions for Hadoop, created in partnership with Cloudera®. The design includes an optimized stack along with data science and frame optimization so you can get up and running quickly.
If you're running Apache® Spark®, you can take advantage of the distributed deep-learning library from BigDL to Apache Spark for a faster way to turn on machine learning and make deep learning more accessible to users and scientists of the big date. non-specialized data. BigDL integrates with Apache Hadoop® frameworks and tools, allowing deep learning in the same Hadoop / Spark cluster where data is stored.
Dell Advanced Learning with NVIDIA
Dell's deep learning with NVIDIA delivers an optimized GPU stack that can save valuable time from deep learning projects. Dell EMC engineers can help you set up, test, and fine-tune GPU-enabled hardware and software with included services to help data scientists load and discover data information faster.
Dell's deep learning with NVIDIA is based on NVIDIA Tesla® V100 GPUs. With 640 tensor cores, this powerful accelerator was the first to break the 100 teraFLOPS barrier for deep learning performance. NVIDIA NVLink ™ connects multiple V100 GPUs up to 300 GB / s to deliver 30-fold higher inference performance than CPU-based servers. This level of performance and efficiency makes machine extension and deep learning services much more feasible.
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