Artificial Intelligence (AI) Computing
The world is adapting to solve more complex problems. Society generates 2.5 exabytes of data per day. Yet, companies have struggled to make sense of the large-scale data collected. That’s where Computacenter comes in. We identify infrastructure deficiencies and business problems that we can help alleviate.
The Computacenter Difference
Using our proprietary methodology, we work with your business units, data scientists, and IT teams to solve large scale, complex problems through artificial intelligence. Computacenter accelerates actionable insights through our network of partners and customized solutions. Whether you need DGX-1’s or customized solutions, we can accelerate this through optimal builds, creating them in our state-of-the-art integration center, and installing the infrastructure anywhere in the world.
How We Can Help
Computacenter’s customers choose us to help solve the following common business challenges:
- Data ingestion
- Data cleanliness
- Performance issues when model building
- Productionizing ecosystems
- Restriction of working with small datasets
- Performance issues at scale
- Staffing talent with expertise in building deep learning models
AIRI: State of the Art Deep Learning Supercomputer
Computacenter has the ultimate integrated AI-ready infrastructure for deploying deep learning at scale. Together with our partners, Pure Storage and NVIDIA, we’re providing a fully integrated software and hardware solution called AIRI. AIRI AI system sitting in Computacenter’s Integration Center is state-of-the-art and helps organizations jumpstart their AI initiatives in hours, not weeks or months.
AIRI is powered by Pure Storage FlashBlade™, the industry’s first storage platform architected for modern analytics and AI, and four NVIDIA DGX-1 supercomputers, delivering four petaFLOPS of performance with NVIDIA ® Tesla ® V100 GPUs. With the power of AIRI, customers can shatter infrastructure complexities that hold organizations back from deploying AI-at-scale and play and build deep learning algorithms.
Deep learning uses artificial neural networks (like a human brain) to automatically identify representations from data such as images, video, and audio, without any hand-coded rules. This field excels at accurately solving tasks such as object detection, speech recognition, language translation, and self-driving cars.
NVIDIA’s GPU-accelerated deep learning frameworks rapidly expedite acceleration of deep learning training. The DGX Workstation, DGX-1, and DGX-2 are not only adept at training deep learning models, but allow for rapid deployment using GPU-accelerated inference platforms for the cloud and embedded devices to deliver high-performance, low-latency inference for the most computationally complex neural networks.
With every AI framework preconfigured on NVIDIA supercomputers, training and validating deep neural networks is as simple as choosing a framework and instructing it to use GPUs for training. Let FusionStorm take you to the next level through our NVIDIA partnership and expertise in deep learning and GPU acceleration.
DGX Deep Learning WorkstationBuild neural networks with an efficient system that lets you continuously iterate before building production models at scale.
DGX-1The DGX-1 is a state-of-the-art supercomputer transforming your ecosystem to drive rapid deployment and high-performance neural networks.
DGX-2The DGX-2 is the most powerful NVIDIA box in the world designed for those looking to solve the most difficult artificial intelligence problems.
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