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TM
Ai-MicroCloud
Ai Platform-as-a-Service
Powering Business Innovation
Overview
Zeblok's enterprise-ready turnkey Ai Platform-as-a-Service (Ai PaaS or Ai-MicroCloud™) helps you develop, customize and deploy Ai quickly, generate new insights and enhance decision-making capabilities. The Ai-MicroCloud™ has been built from the ground up for collaboration from composable foundational components, which make it easy to deploy and satisfy a multitude of challenges that enterprises, data center operators and Edge operators face.
Zeblok Computational offers enterprise clients a shared utility platform. CIOs, CTOs and Innovation Offices have the opportunity to combine and create a community comprised of data scientists, data engineers and Ai engineers, as well as various line of business analysts, to collaborate on Ai development in a single platform. Furthermore, Ai innovation labs outside of the enterprise, including student interns from strategic academic partnerships, can be brought onto the same platform.
Zeblok Computational deploys its Ai-MicroCloud™ to wherever the data resides – enterprise data centers, public clouds and Edge locations. Users determine the appropriate mix of Ai-MicroCloud™ composable foundational components, based on their needs and the specific line of business applications and AI/ML models they are developing.
Once implemented, enterprises' Ai capabilities are truly multi-cloud – Ai-MicroCloud™ deployment architecture flexibility enables execution on numerous enterprise infrastructure topologies.
For example, if an enterprise has a deep relationship with AWS and application teams require some data to be kept within the enterprise data centers, then some data can be moved into AWS. Then the development team can decide where to launch the foundational components. It can be launched within the enterprise data center or in AWS, with comprehensive audit trails supporting any regulatory requirements.
Architecture Diagram
Composable Foundational Components
SaaS Components
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Ai-WorkStation/Ai-HPC-WorkStation
A productive web-based developer environment for Ai model trainers with dynamically provisioned compute and storage resources. Launched within seconds, it is the best way to rapidly create end-to-end Ai pipelines on heterogeneous chip architectures in hybrid-cloud and multi-cloud deployments. Easy to build and easy to share.
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Ai-AppStore
A versatile web-based digital asset repository for ready-to-use Ai inference engines from various sources such as Ai-ISVs, independent Ai modelers, internal and external development teams. Ai teams, within seconds, can launch pre-existing Ai-model training environments and inference engines from various repositories such as GitHub and docker hub. Easy to curate and easy to share.
Ai-API Engine
A scalable web-based ML Ops environment for packaging and publishing Ai inference engines as a secure network asset from Cloud to Edge. Enabling deployment within minutes, the framework provides a consistent publishing mechanism for Ai/ML models built from any industry-standard Ai frameworks. Easy to deploy and easy to share
PaaS Components
Microservices
Manager
Microservices Manager efficiently delivers Ai applications seamlessly across hybrid-cloud, multi-cloud environments, and Edge data centers in compliance with customer policies
Ai-Workstation Manager
Ai-Workstation Manager enables zero learning curve, open-source Ai frameworks, curated Ai applications, other end-to-end Ai pipelines as virtualized notebooks while increasing shareability
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Ai-HPC
Manager
Ai-HPC Manager seamlessly scales to high-performance computing (HPC), crossing physical server boundaries for Ai model training and optimization, using familiar and consistent user experience
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Ai-Data Lake
Manager
Ai-Data Lake Manager improves productivity and data handling for model training and inference engine optimization, while accelerating data manipulation tasks when GPUs are available within the underlying Ai-MicroCloud™ environment
IaaS Components
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RBAC
Manager
Role-based access control (RBAC) restricts network access based on a person's role within an organization and/or Ai project team. It enables advanced access control for all SaaS and PaaS application components within the platform
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Security
Manager
A comprehensive security capability maps users seamlessly and securely between web-domain and meta-scheduled infrastructure across hybrid-cloud environments. Integration with enterprise LDAP and/or Active Directory makes it easy to bring consistent user and group policies, including single sign-on and multi-factor authentication.
Multi-Cloud Orchestration
