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Trusted By
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 MicroCloud
Multicloud from Core to Edge
Runs anywhere: AWS, Azure, On-Premises or at the Edge
Cloud Native
Container-based – runs and scales anywhere
Curated
AI-Algorithms
Curated algorithms – closed loop validation – IP exclusives
Composable Foundational Components
AI-Runtime
* Coming soon
Our Solutions
Enterprises
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We deploy our AI PaaS to your data center or cloud
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Single enterprise-wide platform
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Unify entire AI life-cycle
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Conforms to your security & compliance parameters
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Open source framework support
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Scale up to HPC infrastructure in one click
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Access curated AI algorithms
Cloud Service Providers
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Onsell AI PaaS to
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Compete with public clouds
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Offer low latency AI solutions
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Promote higher margin services
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Increase customer retention
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API integration for metering & IaaS orchestration apps
Edge Operators
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Integrate AI/ML PaaS into the Edge-Telco-Cloud ecosystem
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Reap benefits of 5G & low latency
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AI Inferencing at the Edge for quick decisions
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Deliver real-time, production-ready AI/ML solutions
Case Studies
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Accelerate drug discovery for the SARS-CoV-2 virus, using Computational Physics (MELD) modeling.
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HPC notebook with MPI using – 128 NVIDIA RTX 6000 GPUs, 500 GB of Parallel File System
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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
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HPC notebook usage – 8 NVIDIA RTX 6000 GPUs
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Zeblok’s platform provides 6x improvement in performance compared to NSF’s Blue Waters Cray GPU-based system
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Dance Classification
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Image classification by computer vision using convolution blocks and VGG family of convnets to identify dance genre
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Open source Jupyter notebook
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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
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Unlabeled largest data set of infected lung CT scans called MOSMEDDATA
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800 CT volumes of COVID infected patients which results in around 25k CT slices.
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2 RTX 6000 GPUs, 500 GB of Parallel File system
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COVID-19 Epidemiology
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Assist health care administration, insurance, and government agencies in emergency preparedness.
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Open source Kaggle repository dataset - UNCOVER COVID-19 Challenge provided by Roche Data Science Coalition
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Zeblok AI-Rover™ WorkStation, 1 RTX 6000 GPU, 50 GB of Block Storage, 100 GB Object Storage
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Predictive Analytics
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TRMI data from Refinitiv, combined with pricing data in a unique project that aimed to understand the impact of market sentiment on returns.
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Zeblok AI-Rover™ WorkStation, 7 vCPUs, 16GB RAM, 50 GB of Block Storage
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Rare Disease Study Design
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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
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Zeblok AI-Rover™ WorkStation, 1 RTX 6000 GPU, 50 GB of Block Storage
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Skin Cancer Classification
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ISIC 2020 Challenge Dataset containing 33,126 dermoscopic training images of unique benign and malignant skin lesions from over 2000 patients.
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Zeblok AI-Rover™ WorkStation, 1 RTX 6000 GPU, 1 vCPU, 16GB RAM, 50 GB of Block Storage, 100GB Object Storage
Just 3 Steps
Step#1
Select a Notebook
Step#2
Pick Infrastructure
Step#3
Start modeling
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Choice of Open Source framework Notebooks that are CUDA optimized
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Choice of curated Algorithm Notebooks
AI Showroom
Zeblok MicroCloud 21-day trial
A complete user experience on the Zeblok MicroCloud for Data Engineers, Data Analysts and Data Scientists
Step #1
Select a Notebook
Choice of
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CUDA optimized open source framework notebook
OR
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Notebook, with algorithm exclusively available on the Zeblok platform
Step #2
Select Infrastructure
Choice of
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CPU environment on our Micro Cloud
OR
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Single or hundreds of GPUs in our MicroCloud (up to 20+ petaFLOPS)
Step #3
Start Modeling
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Ingest data into high performance Data Lake
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Train models and integrate runtime AI solutions into your enterprise business processes from Core to Edge
Partnerships
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.
