AI is on its way to becoming the centerpiece of many companies’ data infrastructure. These GPUs are used in many AI applications, and their demand is anticipated to grow as the number of complex AI models grows. Supermicro manufactures high-performance workstation motherboard, storage, and server solutions. See how the Deep Learning Gpus from Supermicro helps you get the most out of your data center.
Table of Contents
1. So, What is Deep Learning Gpus?
Deep learning GPUs provide computing power for neural networks and are intended to accelerate the training of deep learning models for machine learning applications. Deep Learning GPUs usually incorporate many parallel threads on a single chip, which performs parallel computations in a massively multithreaded way. The number of analyses performed by the GPU hardware can be adjusted or tuned based on the specific requirements provided by an application or customer.
2. Supermicros Success in Deep Learning Solutions
Supermicro manufactures high-performance workstation motherboard, storage, and server solutions. It provides entry-to-mid-level and higher-level products based on industry-leading technology across various markets including servers, storage, supercomputing, data center, and cloud computing applications. We have implemented neural network acceleration on our MI-508 packages.
⦁ Flexibility
As technology advances and the performance of GPU deep learning solutions improve, more options are available to developers. Supermicro’s Deep Learning GPUs allow them to use the latest processors and form factors, such as NVIDIA V100, P100, and P40.
⦁ Data Center Scalability
Supermicro’s Deep Learning GPUs provide scalability with system capacity growth while reducing operating costs and power consumption. Supermicro provides several deep-learning GPU solutions, including standalone systems for individual developers, turnkey server systems for many customers, and multi-node servers for large-scale data center deployment.
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Supermicro’s Deep Learning GPU Solutions can be used as a standalone system or integrated into Supermicros’ broad portfolio of ICF systems. This can accelerate training neural networks and models to help with applications such as advanced analytics, risk management, fraud detection, search engines, and medical imaging and diagnosis.
3. Supermicro Deep Learning Solutions
Supermicro has developed a new range of AI-optimized workstation platforms to provide the computing power needed for deep learning applications, including facial recognition, object detection, image recognition, and video processing. Supermicros’ deep learning solutions provide computing power for neural networks and are intended to accelerate the training of deep learning models for machine learning applications.
⦁ Facial Recognition
Deep learning algorithms have proven useful in various applications, including facial recognition. Supermicro features an intelligent and powerful PCIe-based GPU accelerator that supports machine learning on the entire range of facial recognition datasets. This includes common benchmarks like the CMU FERET VOC, MS COCO, EFR-10K+, and SV2M.
⦁ Object Detection
Detecting, recognizing, and tracking objects quickly is an important requirement for many modern applications. Supermicro’s deep learning solutionsare designed for object detection applications in various applications, from automotive to autonomous mobile robots to drones. The learning GPU solution provides the performance and bandwidth to accelerate object detection algorithms.
⦁ Image and Video processing
Video analytics is quickly becoming a core part of modern business. Supermicro’s Deep Learning GPUs deliver more performance, lower power consumption, and higher speed across various applications, including video analytics, image, and video processing. The Supermicro deep learning GPU features an intelligent and powerful PCIe-based architecture to help you take your applications to the next level.
4. Goals and Future
In 2017, IDC predicted that AI spending would increase at a compound annual growth rate of 63 percent, with hardware alone accounting for $13 billion in spending by 2020. The use of GPUs to accelerate AI is transforming the way businesses operate. Supermicro’s Deep Learning GPUs provide computing power for neural networks and are intended to accelerate the training of deep learning models for machine learning applications.
Supermicro manufactures high-performance workstation motherboard, storage, and server solutions. It provides entry-to-mid-level and higher-level products based on industry-leading technology across various markets, including servers, storage, supercomputing, data center, and cloud computing applications. Supermicro GPUs have proven helpful to the computer vision fields by helping them develop vision systems like autonomous vehicles, drones, robots, and face recognition.
