Solutions

Use In Industry

Massively parallel compute drives new efficiencies and innovation at the edge. It’s easier than ever to unleash the power of your data.

Smart Manufacturing

Industry 4.0 and the trend towards the industrial internet of things is placing new demands on enterprise compute infrastructure. DCP is perfect for these edge deployments that often involve huge data streams, proprietary algorithms, and latency considerations.

Data streams may be pre-processed at the manufacturing facility itself for security and low latency.

Improve lean manufacturing efforts by predicting part failure early on in the cycle.

Monitor manufacturing processes in real time and interact with their digital twins.

Implement cutting-edge AI/ML solutions without any code or data leaving the site.

Life Sciences & Healthcare

Global health R&D and patient care relies on increasingly compute-intensive algorithms. DCP supports creates unique edge networks for hospitals, labs, and other healthcare institutions that comply with regulations and data privacy standards.

Advanced predictive models for protecting public health and forecasting infectious disease.

Fast and cost-effective genome sequencing for personalized medicine.

Process huge datasets of medical images securely, cost-effectively, and on-premises.

High-throughput computing for massive simulations that aid drug discovery.

Geospatial Analysis

DCP is an ideal tool for data-intensive computing required by GIS systems. From pre-processing datasets in space itself to data science back on Earth, it provides computing resources in whatever configuration is needed at a fraction of the cost.

Perform feature extraction on millions of images.

User large satellite and other GIS datasets in AI/ML applications.

Build custom web portals for users who to perform analysis while supplying their own compute.

Link together different HPC systems for Earth Observation.

Smart Cities & IoT

With highly different endpoints, the IoT faces a severe integration challenge. DCP creates a unified development environment across all devices, so developers can forget about the base layer - the IoT just became the Internet of Compute.

Pre-processing may happen at the manufacturing facility, improving security & latency.

Create platoons of connected vehicles and other nodes to process heavy workloads.

Build federated machine learning models for predicting failures and more, without the cloud.

Add and remove devices from an edge network without complex firewall management.

Finance & Insurance

In addition to algorithmic trading, the financial services industry is increasingly making use of batch analyses and AI/ML. Applications that make use of massively parallel compute providers portfolio managers, FIs, insurance firms, and more with a tremendous competitive advantage.

Data mining on various financial datasets to inform the management of portfolios.

Test and deploy ML models for accurate, low cost actuarial functions.

Develop, test, and scale proprietary algorithms completely on-premise.

Create highly parameterized models to assess different market and non-market risks.

Advanced Research Computing

Today, large amounts of compute are critical for innovation in many fields. DCP lets researchers process massive amounts of data at an acceptable cost, and reduce the time it takes to do so by an order of magnitude.

Create a private cloud for internal R&D from unused capacity, upping your total utilization.

Build and iterate on convolutional neural networks, hyperparameter searches, and more.

Perform exhaustive Monte Carlo analysis, Physics simulations, and other computational models.

Optimize complex systems and explore huge problem spaces in less time.

Our strategic partners - Distributed Compute Labs - work with researchers and academic institutions to provide free computational resources. If you are interested in this for your research project or to bring an edge network to your campus, contact them today!

Apply For Free Compute -->

Smart Manufacturing

Industry 4.0 and the trend towards the industrial IOT is placing new demands on enterprise. With DCP, companies can unlock more insights from their data without sending it to the cloud.

Data streams may be processed at the facility itself for low-latency and security.

Predict part and machine failure early on with condition based monitoring.

Create digital twins and monitor processes in real-time.

Life Sciences & Healthcare

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Geospatial Analysis

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Smart Cities & IoT

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Finance & Insurance

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Advanced Research Computing

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Etiam malesuada lacus et elit ornare feugiat. Suspendisse mattis dignissim nibh at tempor.

In gravida tortor a nunc faucibus, nec tristique justo posuere. Phasellus sem risus, elementum dapibus dolor euismod, mattis tristique nulla.

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Don't see your industry?

If your industry or use case is not listed, don’t worry! Our team of experts is always ready to help you benefit from the most cutting edge parallel algorithms. Please get in touch with us below.

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