The Heart & Soul of Our AI Services



Z.ai is an enterprise-ready turnkey AI Platform-as-a-Service (PaaS) that helps you develop, customize and deploy AI projects quickly, generate new insights and enhance decision-making capabilities. Zeblok's platform assembles all of the elements a data scientist needs to be productive in AI in one secure, scalable location by leveraging open source frameworks and adding our proprietary multi-cloud multi-class orchestration software.

Turnkey Environment: Leverages familiar open source tools, frameworks and languages, such as Jupyter Notebook, Scikit, Framework, R, Python and Scala, without time wasted configuring environments

AI Algorithms: Proven original algorithms that are not just black boxes, sourced through our Ingenuity Partnerships Program, the Etsy of AI Algorithms


Robust Infrastructure: The optimal mix of computing power, scalable from one GPU to hundreds effortlessly, as well as low latency, secure connectivity, Edge connectivity, networking and storage appropriate to your workloads, sourced through our Frontier Partnerships Program, the Airbnb of AI infrastructure


AI Expertise: Offload tasks to Zeblok's data scientists as needed, get advice on modifying your algo or model or runtime application and on integrating AI into enterprise business processes


Community: Share insights with Zeblok's network of algorithm originators and other enterprise data scientists

Get everything you need, when you need it, with the flexibility you need to solve the most complex problems. And do it without blowing your budget.


Our unified platform consists of various compute infrastructure, tools, algorithms, APIs, and protocols that support the variety of AI solutions you build. You have the flexibility to choose the most optimal mix of compute, storage and connectivity infrastructure, set of curated AI algorithms, pre-configured notebooks to build your AI solution to achieve specific business goals appropriate to your industry vertical.

The three main components of our platform are as follows:

  • The Zeblok AI WorkStation is a one stop shop. Whether you are looking to start a multi-user data science project using various open-source AI frameworks, or you are looking for a high-performance computing (HPC) environment to distribute your jobs across a large cluster of computational power, we have you covered. 

    • Powerful Machine Learning / Artificial Intelligence notebook

    • Model Training, with ML/DL pipelines

    • Out-of-the-box CUDA optimization on GPU for AI- Frameworks

    • Supports popular data science language bindings such as R, Scala, Docker and Python

    • We embrace open-source frameworks and tools

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  • The Zeblok AI AlgoStore  when you ask your data scientists,they'll tell you they build open pre-trained models and derive inspiration from existing models. Bring your data scientists and AI-engineers onto our secure platform to launch your next model development in minutes. We've curated ground-breaking algorithms, some of which have patents pending, to enable your team to hit the ground running. Our ecosystem, comprising of university affiliations, start-up companies and top algorithm researchers, will inspire your team to build world-class AI applications.

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  • AI Supercomputing If you want the multi-cloud freedom for your hyper-converged infrastructure without any public-cloud lock-in, then look no further. Start in minutes through just a web browser, with self-registration. Immediately and securely access 24 tensor petaflops (a petaflop is the ability of a computer to do one quadrillion floating-point operations per second). Stay tuned; we are expanding to 200+ tensor PFLOPS later in 2020. Option to choose capacities at different data centers based on geographical, technical and compliance requirements. 

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Platform Features:

  • Multi-Cloud, Multi-Class Orchestration


  • Kubernetes-as-a-Service


  • Slurm-as-a-Service


  • Secure Multi-Cloud tunneling

  • Jupyter Notebook Virtualization


  • API enablement for AI models


  • Supports popular data science language bindings such as R, Scala, Docker and Python

  • Out-of-the-box CUDA optimization on GPU for AI Frameworks


  • Embraces open-source frameworks and tools