AI & Deep Learning Solution

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Supermicro AI and
Deep Learning Solutions
AI & Deep Learning Solution
Supermicro Nvidia Server Simply

Supermicro SuperServers Delivering Industrial Performance

  • Parallel Computational Excellence Solutions can use up to 32 GPUs with 1TB of GPU memory enabling you to have the best parallel computing possible.
  • NVLink for Enhanced Bandwidth To enhance the processing potential of these solutions. NVLink provides the fastest GPU to GPU communication. NVLink is also a robust solution that can handle heavy load cycles experienced in deep learning activities.
  • Tensor Core Processing NVIDIA Tesla V100 GPUs use Tensor Core architecture that can deliver a massive 125 Tensor TFLOPS for deep learning – allowing you to calculate a solution fast!
  • Scalable and Modular Design All enterprises need to grow with success. Supermicro SuperServers scale with 100G IB EDR fabric reducing your future infrastructure costs.
  • Fast NVMe Storage Solutions Rapid Flash Xtreme (RFX) is the very best enterprise storage solution utilizing NVM protocol in a full NVMe configuration. Hardware can read and write at the same time across wide bandwidths and utilize multiple storage locations at once!
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Supermicro AI and
Deep Learning Solutions

Using Deep Learning to facilitate Artificial Intelligence (AI)

You use AI almost daily. From Google maps finding the best routes to supermarket food suggestions when shopping online. AI is everywhere due to its ability to conduct repetitive tasks much faster and more efficiently than humans. At the heart of AI technology is a weighted decision matrix that is optimized through an iterative learning process. Data that has already been classified is fed into the system during this process. As the system guesses the correct or incorrect response the weighting value changes at each node. The dataset is repeatedly added until the system is able to reduce error until it meets a predefined error tolerance. For instance, an AI-based driving solution may be based on a predefined mileage. This learning process is called 'deep learning' due to most AI matrices having multiple data filters allowing more refined data assessment. Each filter is called a layer and will have multiple nodes associated with the decision-making at that layer. This means the time needed to achieve the specified error tolerance significantly increases in an exponential manner.

The Deep Learning Process

To conduct deep learning you need powerful hardware such as performant servers or even supercomputers. This is the only way to get this learning process finished within a reasonable turnaround for software development. Once the solution is finished the AI can be added to many low-profile platforms such as mobile devices along with offline solutions. AI used in the car industry is designed to be capable to run offline as constant communication is not possible. A discrete decentralized AI solution must be utilized.

Supermicro SuperServers allow AI and deep learning clusters to be created easily in compact high density and modular designs. At their heart, Supermicro SuperServers utilize the latest NVIDIA Ampere A100 and Tesla V100 GPUs.

The Deep Learning Platform

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NGC-Ready
solutions

If you are interested in rolling out AI solutions then you need to check out Supermicro. They specialize in providing AI and deep learning platforms customized to your business needs. Supermicro offer NVIDIA NGC-Ready solutions and they're certified by NVIDIA to support NVIDIA NGC software running on NVIDIA Tesla and Ampere GPUs. This means that you can deploy end-to-end AI solutions with confidence.

All deep learning and AI development utilize AI frameworks such as TensorFlow, Caffe2, Chainer, Microsoft Cognitive Toolkit along with many others. Supported libraries used with some of these frameworks include cnDNN, cuBLAS and NCCL.

Operating systems that are supported include Ubuntu, NVIDIA Docker and Docker. If you use NVIDIA Docker or Docker the environments are stored with the solution and can be easily pushed to a device. This is achieved using a compatible SDK and firmware solution to run it. It means that you can effectively switch out AI solutions on the same hardware to meet the needs of the solution within minutes. This enables you to upcycle or reuse products such as edge devices!

Complete solution with Supermicro and Nvidia

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NGC-Ready
solutions

No matter what you are developing AI for you need 'heavy metal' to complete the deep learning stage of the process within an acceptable timeframe. Supermicro SuperServers are the very best way to get this done effectively as you can scale to your needs with NVIDIA certified hardware.

No need to worry about solution compatibilities over a range of possible industrial ecosystems. No need to wonder about potential hardware bottlenecks. Supermicro SuperServers provide the complete solution to your AI and deep learning needs!

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