Harness the Computing Power You Need to Fuel AI and Machine Learning.

Insights and innovation are only possible with robust AI infrastructure

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AI and Machine Learning Hardware & Deployment Challenges

Machine learning requires that devices be able to adapt and learn through experience. This ability serves as the foundation for building AI-powered software. Artificial intelligence takes this further by intelligently executing tasks and solving real-world problems with algorithms built on machine learning, deep learning, and other techniques.

The computing power required to fuel AI and machine learning algorithms is a major hurdle for any organization. To solve this challenge, they must find the correct balance of core processing power, high-density storage, and GPUs while keeping solutions cost-effective.

Our Place in AI And ML

Machine learning leverages neural networks that extensively examine and connect data to extract insights. Deep learning takes this further by eliminating the need for structured data. We provide the robust compute and storage capabilities you need to power these advanced technologies.

Place In Edge

AI & ML Infrastructure Solutions

Getting your AI infrastructure designed, developed, and executed is the first step to using your data to its full potential. By shortening your time to extract data insights, AI infrastructure improves decision-making, facilitates automation, and transforms the customer experience. We’ve developed a whole line of comprehensive solutions for your use case.

We can help you make data your greatest asset. Leverage the power of artificial intelligence to drive innovation and combat disruption. Our end-to-end AI services give you fast and powerful systems built from the ground up to optimize large AI datasets. Additionally, our consultants are equipped to help with AI experience, data expertise, and deep industry knowledge.

How does Equus compare with our competitors in AI/ML infrastructure solutions? Our product and service approach tells the story:

    Artificial Intelligence


    We identify and assess the customer’s pain points to understand their unique challenges and how they relate to AI/ML computing.

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    Product Design

    We present AI/ML design options prioritizing flexibility, performance, and functionality.

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    We stay up to date on global certifications, logistics, and deployment strategies to integrate your AI/ML technology quickly and efficiently.

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    Our team is an extension of your own. We’re continuously monitoring your AI/ML infrastructure and managing vendor relationships to guarantee network reliability.

    AI and ML

    Use Cases

    Scientific Research

    Speed up the pace of research. Researchers use AI and ML for everything from understanding the earth’s climate to testing millions of potential drug combinations.

    Scientific Research

    Healthcare Diagnostics

    Improve patient care and reduce costs. AI analyzes enormous amounts of medical data to identify patterns that are unfeasible or impossible for humans to parse.

    Healthcare Diagnostics


    Discover and block more threats. AI and machine learning can swiftly analyze millions of data sets to protect organizations from a wide variety of cyber threats.



    Reduce errors and improve safety. Manufacturing robots powered by AI can learn manufacturing skills like design, part manufacturing, and assembly.


    Language Modeling

    Improve speech recognition capabilities with enhancements like better recognition for non-English speakers, personalized gaming, and identifying the discriminatory language in documents.

    Language Modeling

    Financial Sector

    Improve underwriting and reduce risk. By leveraging AI tools, corporations can predict and assess loan risk and improve underwriting processes.


    Image and Speech Recognition

    Use image and speech recognition in new ways. These technologies already impact our daily lives as we use different apps and features that leverage tools like facial recognition, dictation, and virtual assistants.

    Speech Recognition


    Infrastructure Technical Requirements

    Designing scalable, plug-and-play infrastructure is critical if you want to employ AI and ML capabilities as they emerge. The infrastructure we deliver unlocks the technical power required for advanced capabilities like quantum computing and natural language processing while maintaining the flexibility to support ever-changing computing needs.

    Whatever your technical requirements, Equus has the knowledge, capabilities, and flexibility to optimize your AI/ML infrastructure — including needs at the regional, national, or global level.


    Boosted processing

    Price performance

    Wide range of

    Quick and efficient
    data handling

    Built and optimized


    Technology Partners


    Supermicr Asus Intel nVIDIA AMD


    Microsoft CanonicalKubernetes


    Juniper Juniper Juniper



    Services We Provide

    From cloud complexity to efficient straight-forward infrastructure solutions
    Server and Storage Design

    Server/Storage & Network Design

    Workstation Design

    Workstation Design

    GPU Optimization

    GPU Optimized Solutions

    Rack Integration

    Rack Integration


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