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Artificial Inteligence




Orchestration.      Marketplace.    Process.     Supercomputing Micro Cloud.


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Key Features

Accelerated AI-Pipelines

High performance Data Lake for handling large datasets – 10-15x query acceleration

Open Source Support

Supports all open source frameworks

Micro Cloud  GPU Supercomputing

Ready to use 20+ Tensor Petaflops in a GPU Micro Cloud

Multi-Cloud from Core to Edge

Runs anywhere: AWS, Azure, On-Premises or at the Edge


Container-based – runs and scales anywhere



Curated algorithms – closed loop validation – IP exclusives

Composable Foundational Components


* Coming soon

Our Solutions

  • Single AI PaaS across your enterprise 

  • Unify entire AI life-cycle 

  • Security & compliance of your own data center

  • Open source framework support

  • HPC infrastructure support in one click

  • Access to curated AI algorithms

Cloud Service Providers
  • Onsell AI-PaaS to

  • Compete with public clouds

  • Offer low latency AI solutions

  • Promote high margin services

  • Keep customers longer

  • API integration for metering & IaaS orchestration apps

Edge Operators
  • Make AI/ML PaaS part of the Edge-Telco-Cloud ecosystem

  • Reap benefits of 5G & low latency 

  • AI-Inference at the Edge for quick decisions

  • Deliver real-time, production ready AI/ML solutions 

Case Studies

  • Accelerate drug discovery for the SARS-CoV-2 virus, using Computational Physics (MELD) modeling. 

  • HPC notebook with MPI using – 128 NVIDIA RTX 6000 GPUs, 500 GB of Parallel File System

  • Multiple Containers to support multi-GPU, multi-CPU compute engines 

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  • In Silico drug discovery simulations, computer-aided drug design (CADD), molecular modeling and quantitative structure-activity relationship (QSAR) for pharmaceutical companies

  • HPC notebook usage – 8 NVIDIA RTX 6000 GPUs

  • Zeblok’s platform provides 6x improvement in performance compared to NSF’s Blue Waters Cray GPU-based system

  • Dance Classification

  • Image Classification by Computer vision using Convolution blocks and VGG family of convnets to identify dance genre

  • Open Source Jupyter Notebook

  • Multiple containers to support multi-CPU, multi-CPU compute engines using – 1 NVIDIA RTX 6000 GPU

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  • Covid-19 CT Scan Segmentation

  • Unlabeled largest data set of infected lung CT scans called MOSMEDDATA

  • 800 CT volumes of COVID infected patients which results in around 25k CT slices.

  • 2 RTX 6000 GPUs, 500 GB of Parallel File system

  • COVID-19 Epidemiology 

  • Assist health care administration, insurance, and government agencies in emergency preparedness.

  • Open source Kaggle repository dataset - UNCOVER COVID-19 Challenge provided by Roche Data Science Coalition 

  • Zeblok AI-Rover™ WorkStation, 1 RTX 6000 GPU, 50 GB of Block Storage, 100 GB Object Storage

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  • Predictive Analytics

  • TRMI data from Refinitiv, combined with pricing data in a unique project that aimed to understand the impact of market sentiment on returns.

  • Zeblok AI-Rover™ WorkStation, 7 vCPUs, 16GB RAM, 50 GB of Block Storage

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  • Rare Disease Study Design

  • C-Path institute dataset from Friedreich's Ataxia Clinical Outcome Measure Study (FA-COMS) natural history data to identify novel endpoints, biomarkers, and baseline characteristics that may optimize clinical study

  • Zeblok AI-Rover™ WorkStation, 1 RTX 6000 GPU, 50 GB of Block Storage

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  • Skin Cancer Classification

  • ISIC 2020 Challenge Dataset containing 33,126 dermoscopic training images of unique benign and malignant skin lesions from over 2000 patients. 

  • Zeblok AI-Rover™ WorkStation, 1 RTX 6000 GPU, 1 vCPU, 16GB RAM, 50 GB of Block Storage, 100GB Object Storage

Just 3 Steps 

Select a Notebook
Pick Infrastructure
Start modeling
  • Choice of Open Source framework Notebooks that are CUDA optimized

  • Choice of curated Algorithm Notebooks


Zeblok Micro Cloud 21-day trial

A complete user experience on the Zeblok Micro-Cloud for Data Engineers, Data Analysts and Data Scientists 

Step #1 
Select a Notebook

Choice of

  • CUDA optimized open source framework notebook


  • Notebook, with algorithm exclusively available on the Zeblok platform

Step #2
Select Infrastructure

Choice of

  • CPU environment on our Micro Cloud


  • Single or hundreds of GPUs in our Micro Cloud (up to 20+ petaFLOPS)

Step #3
Start Modeling
  • Ingest data into high performance Data Lake

  • Train models and integrate runtime AI solutions into your enterprise business processes from Core to Edge


Zeblok Ingenuity

Algorithms and Expertise

From Top Minds in AI

Benefit from government/academia/industry relationship program

Zeblok Frontier

Extend Your Infrastructure to AI

Zeblok Build Intelligence Services

Ideas to execution for pragmatic AI projects!!

Announcements and News

18th August 2020

Zeblok Computational and Trilogy Networks are partnering on the Rural Cloud Initiative (RCI) to accelerate the digital transformation of rural America by bringing the Zeblok AI Platform-as-a-Service to farms, manufacturers, and other companies via Trilogy's Edge network. The RCI is comprised of more than 45 network, Edge and other innovation partners, who are working together to deploy Edge solutions running on a unified, distributed cloud, covering an area of 1.5 million square miles throughout rural America, providing essential infrastructure for 5G, agriculture, and energy solutions. 


“Very simple to install my protein simulation software. Using only 1 GPU on Zeblok's platform, we saw a 6x improvement in performance compared to Blue Waters Cray GPU-based system.”

- Laufer Center   


Data Comprehension in Days

Full implementation of an explainable AI algorithm on a virtualized notebook, in concert with Zeblok's GPU-powered data lake.

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Tel: +1 (631) 223-8233

HQ Office:

1500 Stony Brook Road

Stony Brook, NY 11794


51 JFK Parkway

First Floor West

Short Hills, NJ 07078

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