Zeblok Joins Intel® Disruptor Initiative as a Gold Status Partner

Zeblok Computational makes critical partnerships as they accept an invitation to the

 and has been elevated to a Gold Intel Alliance Partner. The Intel® Disruptor Program helps companies push the limits of innovation through technical enablement and multi-channel go to market activities.

Zeblok joining this program as a Gold Intel Alliance Partner is a significant milestone. Intel supports its members by driving growth through technical enablement, allowing Disruptor Program innovators to accelerate their time-to-market with early access to hardware and software. In addition, Intel engineers work closely with the Zeblok team to ensure that future releases continue to deliver optimized performance. Zeblok Computational finds itself in good company, with other AI Disruptor Initiative companies, including C3.ai, Snowflake, Cloudera, and Aible.

Intel Partner Manager Eric James triumphs, "

We are incredibly excited to welcome Zeblok to the Intel Disruptor Program! Leveraging software optimizations within the Intel Distribution of OpenVINO™ and Intel oneAPI AI Analytics Toolkit (AI Kit), Zeblok's approach to AI orchestration within the enterprise and at the Edge drastically reduces the engineering and business effort required for AI projects

Zeblok Computational CEO Mouli Narayanan said, "

The Intel Disruptor program will enable Zeblok to strategically align its capabilities with Intel roadmap and channel partnerships, enhancing competitive differentiation to drive scale and generating value for our customers. The bi-directional roadmap acceleration will provide optimized pathways to improve our customers' TCO goals for delivering Ai applications, seamless user experience in adopting combined Zeblok and Intel software tools, and support for new Intel platforms. We are excited to participate in industry leading sales enablement and demand generation programs and add value in joint partner programs with Intel's SI, OEM/ODM, CSPs and 3-way joint marketing and sales programs.

By 2035, there will be one trillion Edge devices, requiring many millions of Multi-Access Edge Computing data centers (MECs), with most data created and acted upon at MECs. 

 solves the problem of scaling at the Edge, making it easy to deploy AI inferences to thousands of Edge locations, with end-to-end lifecycle management. Zeblok's Ai-MicroCloud™ turns each Edge server into a cloud data center at the Edge. Zeblok also addresses critical enterprise Ai gaps, including optimizing Ai/ML models for heterogeneous chipsets.

BlueStar and Zeblok Ai-MicroCloud® Pen Agreement For Business Development Relationship to Promote In-a-Box® Ai Solutions

STONY BROOK, NEW YORK, UNITED STATES, September 13, 2022 -- BlueStar, a leading global distributor of Mobility, IoT and AI-based solutions, has signed a business development agreement with Zeblok Computational Inc. to promote the Zeblok Ai-MicroCloud® to the BlueStar global network of Value Added Resellers (VARS). The Ai-MicroCloud® is a turnkey, cloud native AI Platform-as-a-Service (PaaS) that simplifies and streamlines the development, deployment and optimization of artificial intelligence applications to the edge. BlueStar VARS can share information with their customers on ready to deploy, “In-a-Box® AI Solutions” with any mix of ISVs and servers for demanding AI workloads challenging their customers.

Developers using AI algorithms such as computer vision, time-series, Natural Language Processing (NLP), Vehicle-to-Everything (V2X), need AI inferencing at the edge to process large amounts of data closer to where data is used for better application performance and lower latency. Businesses benefitting from Zeblok integrated solutions include Cloud Service Providers (CSP), Communication Services Providers (CoSP), Managed Service Providers (MSP), edge data center operators, OEMs, and ISVs serving clients in industries such as telecommunications, retail, manufacturing, city construction, connected vehicles, gaming, and more.

Traditional deployment of edge solutions is manual and slow, resulting in rising costs and resource utilization (eg., cloud compute, GPU cycles), without comparable benefit. The Ai-MicroCloud® is a single, integrated environment for edge deployments that can shave days, if not weeks, off application development (AppDev), freeing up resources for ML Ops fine-tuning, model optimization or incremental training for new vocabularies. Edge users can deploy on any topology from Cloud to Edge, including public cloud, hybrid cloud, bare metal servers, and scale to thousands of edge hubs and satellite devices.

BlueStar Value Added Resellers can accelerate customer time to value with commercially ready-to-deploy In-a-Box® AI solutions for common use-cases in Retail, Industry 4.0, and Smart Cities. The Ai-MicroCloud® In-a-Box® AI solutions are certified on Advantech and Supermicro servers, many popular AI tools and ISVs, with more certifications coming soon.

Each In-a-Box® AI solution includes an Ai-AppStore, where customers can curate any ML Ops AI tool and ISV application with included automation tools and simplified workflows. An Ai-AppStore allows on-demand access to multi-class AI assets as microservices and industry standard APIs. These features future-proof investments because customers can mix and match any ISV application with any hardware, CPU and GPU to optimize their models and deploy Ai inference engines to any edge environment.

With out of the box support for Intel® OpenVINO™ Toolkit for model optimization, and Intel® oneAPI Deep Neural Network Library (oneDNN), developers optimize workloads faster, and at much lower total cost. For example, after a computer vision application is deployed, developers go to the Ai-AppStore to access time-series or NLP algorithms, then easily develop, optimize and deploy new applications using the same end-to-end lifecycle management on the same infrastructure.


“We are excited to kick off a business development relationship with Zeblok. It’s the start of a unique AI offering available to BlueStar customers.,” said Dean Reverman, Vice President of Marketing at BlueStar, “Zeblok’s Ai-MicroCloud® with the Ai-AppStore will enable BlueStar VARs to differentiate their business offerings by addressing deployment problems in a cost-effective and simplified manner. Bundled with world class BlueStar OEM server, storage, and networking products, the Zeblok solution can be a game changer for our VARs.”

“Our channel partners are asking for solutions that enabling new business opportunities, so they can call on new parts of their customer’s organization,” said Mike Buyington, Vice President of Sales at BlueStar. “The Zeblok Ai-MicroCloud® is the door opener to new business opportunities that can lead to higher value added sales opportunities. BlueStar VARS can present a fully managed, easy to deliver solution, and that will grow their business”.

“We are excited to develop business with BlueStar because of their reputation for offering world class products and solutions through their large network Value Added Resellers,” said Mouli Narayanan, founder and CEO of Zeblok Computational. “Edge-Ai is an ecosystem play, and BlueStar’s diverse offerings of hardware and software, means the VAR channel can deliver innovative solutions that meet the needs of businesses across industries and use cases. We look forward to helping BlueStar VARS reach new markets and achieve greater business success!”

Zeblok Computational will attend #Vartech2022 in Booth 522A to showcase Zeblok's Ai-MicroCloud® to the BlueStar VAR network.


About BlueStar

BlueStar is the leading global distributor of solutions-based Digital Identification, Mobility, Point-of-Sale, RFID, IoT, AI. AR, M2M, Digital Signage, Networking, Blockchain, and Security technology solutions. BlueStar works exclusively with Value-Added Resellers (VARs) to provide complete solutions, custom configuration offerings, business development, and marketing support. The company brings unequaled expertise to the market, offers award-winning technical support, and is an authorized service center for a growing number of manufacturers. BlueStar is the exclusive distributor for the In-a-Box™ Solutions Series, delivering hardware, software, and critical accessories all in one bundle with technology solutions across all verticals, as well as BlueStar’s HybridSaaS finance program to provide OPEX/subscription services for hardware, software, and service bundles. In-a-Box® is a registered trademark of BlueStar.

For more information
Contact Phone: 1-800-354-9776
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About Zeblok Computational Inc.

Zeblok Computational provides a digital foundation for enterprises to execute their AI strategies from Cloud-to-Edge. Zeblok’s Ai-MicroCloud® is a comprehensive, portable, cloud native, turnkey AI PaaS environment, enabling companies to easily create their own AI ecosystem, to mix and match AI ISVs and hardware manufacturers. ML Ops workflows enable simplified curation of Ai assets and delivery of end-to-end Ai solutions anywhere. The Ai-MicroCloud® includes a full Ai/ML DevOps capability, plus integrated tools to optimize completed Ai/ML models for heterogeneous architectures and an Ai-API engine, which automates multi-cloud deployment of Ai inference engines to thousands of Edge locations. Ai-MicroCloud® is a registered trademark of Zeblok Computational, Inc.

DataQube Launches First of its Kind Edge-AI Pre-Production Lab Featuring the Zeblok Computational Ai-MicroCloud®

Cambridge UK and Stony Brook, NY 8 September 2022. DataQube (Global) Ltd, a technology infrastructure company changing the face of data centres, has partnered with Zeblok Computational Inc., developers of the Ai-MicroCloud® a turnkey, cloud native AI Platform-as-a-Service, to rapidly develop, deploy, and optimise AI workloads at the edge.

As demand for localised AI inferencing at the edge accelerates, the Ai-MicroCloud® dramatically simplifies the challenge of scaling AI rollouts at the edge, by providing a single, integrated environment for easy, automated deployment of any AI application to thousands of edge locations.

The collaboration involves building a first of its kind Edge Pre-Production Lab facility at the Cambridge IT Innovation Park, situated just north of the city. Built on powerful server infrastructure from Supermicro servers using 3rd Generation Intel Xeon Scalable processors, the R&D facility will enable ecosystem participants to develop vertical-focused AI solutions for implementation at the edge and allow end-user customers to bring in their AI workloads to test and optimise before production deployment, thus mitigating risk, lowering Total Cost of Ownership, and achieving faster Return on Investment.

Unlike conventional edge installations, DataQube units can be fully operational within a six-month timeframe, for 50% less Capex and with a PUE (Power Usage Effectiveness) of 1.05 emi, the lowest in the industry. In line with their commitment to Green Computing, DataQube provides one of the most power efficient, resource saving architectures in the industry.

As businesses leverage new technologies, such as IoT and automation, localised processing (closer to where the data is used) of large amounts of data is needed for better application performance and lower latency. Cloud service providers (CSP), communications service providers (CoSP), managed service providers (MSP), edge data centre operations, OEMs, and ISVs will all benefit as they work with clients in telecommunications, retail, smart cities, and gaming companies who need to scale at the edge to deliver better performance and higher end user satisfaction.

Zeblok Ai-MicroCloud®, following Well Architected Framework (WAF) design principles, is perfectly aligned with the podular nature of DataQube data centre products, and provides the glue to build an open cloud-to-edge AI ecosystem. Customers can effortlessly and efficiently deploy multiclass AI applications, such as computer vision, natural language processing (NLP), self-driving vehicles, autonomous systems, and more.

The Ai-MicroCloud® installs securely on bare metal servers within the enterprise IT perimeter to fit any topology (public cloud, hybrid cloud, Edge hub and Edge satellite), providing a comprehensive, turnkey, cloud-native AI environment, acting as end-to-end AI middleware that unifies the development, training, testing, optimization, and deployment of AI/ML solutions from cloud to Edge. Zeblok’s standard certification methodology for both edge servers and AI applications permits users to mix and match hardware, supporting multiple chipsets, and ISV AI applications.

In addition, the Ai-MicroCloud® is cloud native, able to run containerized applications that can scale to thousands of devices in a multi-cluster environment. The platform seamlessly manages the entire AI application lifecycle and enables curation of ISV algorithms to form a custom Ai-AppStore™, with simple workflows that bring in AI assets as microservices and industry standard APIs for rapid consumption.

The Ai-MicroCloud® is purpose built and ready to deploy commercial workflows for diverse use cases such as Retail-Ai-in-a-Box, Industry 4.0-Ai-in-a-Box, And Smart City-Ai-in-a-Box. Built-in automation tools and workflows help to scale installation to infrastructure at thousands of edge locations and its Ai-API Engine enables deployment of Ai-APIs in production anywhere.

The DataQube Edge-AI Lab is on track to open by the end of Q3.

“By 2035, there will be one trillion Edge devices, requiring many millions of Multi-Access Edge Computing data centres (MECs), with most data created and acted upon at MECs,” says Steve Pass, COO at DataQube Global, “Zeblok is an ideal partner complementing DataQube’s flexible and adaptable deployment approach, with simple, yet powerful software that brings together all the components of any enterprise end-to-end AI solution.”

“DataQube’s unique edge data centre technology enables rapid extension of enterprise infrastructure to the edge,” said Zeblok Computational CEO Mouli Narayanan. “DataQube systems, running on Supermicro and Intel, with Zeblok’s Ai-MicroCloud® is a perfect canvas to demonstrate the simplicity, efficiency, and automation of the Ai-MicroCloud® to deploy AI inferences to thousands of Edge locations, with end-to-end lifecycle management. Customers bringing their own workloads to the Edge Lab to try-to-buy will be amazed at what they can get done in a short time.”

Advantech and Zeblok Partner to Enable Seamless Cloud-to-Edge AI Services

Advantech and Zeblok Partner to Enable Seamless Cloud-to-Edge AI Services

Zeblok Ai-MicroCloud® Platform-as-a-Service certified on Advantech SKY-8000 Edge Servers helps operators, service providers and ISVs scale AI at the edge and shorten time to market for new end-to-end AI solutions


Taipei, Taiwan, July 19, 2022 – Advantech and Zeblok Computational today announced their collaboration on a new end-to-end solution based on Zeblok’s Ai-MicroCloud® AI platform-as-a-service and Advantech SKY-8000 Edge Servers. The solution streamlines deployment of new edge AI services for operators, service providers and software developers, creating a seamless platform that enables cloud to edge AI with shorten time to market. In addition, the solution has been validated to be deployed on SmartPoint.IO smart kiosk.

Advantech and Zeblok’s partnership addresses edge AI scalability and ecosystem challenges by building a consistent infrastructure that extends cloud environments to the edge over high performance and high reliability server platforms that support even the most demanding edge AI use cases. The solution enables an AI-API economy by providing an Ai-AppStore for AI applications, functionality to optimize completed AI/ML models for heterogeneous architectures, using Intel’s OpenVINO™ toolkit, and a mechanism to both produce AI inferences as secure Ai-APIs and distribute it to end points rapidly and cost-effectively. It is essentially AI middleware that brings the edge AI ecosystem together to streamline development, testing, training, optimization, and deployment of end-to-end AI solutions.

“The combination of 5G, AI and edge computing is driving the next digital transformation, unlocking limitless business opportunities for operators, service provides and enterprises”, said Brian Wilson, Associate Vice President of Sales, Advantech. “We are thrilled to partner with Zeblok to enable a solid foundation where the edge AI ecosystem can innovate faster helping customers thrive in this new AIoT era.”

“With 70% of the world’s data soon to be created and acted upon outside of traditional data centers, this is a fundamental paradigm shift,” said Mouli Narayanan, founder and CEO, Zeblok. “Through our partnership with Advantech we accelerate this transformation with efficient software distribution on reliable hardware platforms at autonomously operated edge data centers to streamline the rollout of next generation low latency and high availability edge AI services.”

The end-to-end AI solution leverages Zeblok’s Ai-MicroCloud® turnkey AI Platform-as-a-Service. It creates an open cloud-to-edge ecosystem, allowing enterprises to create their own AI Assets, and deploy them as secure Ai-APIs, for distribution from core to edge, including deploying multiple inferencing engines to each edge server, lowering the "cost per insight." By employing a standard certification methodology, the solution seamlessly scales to thousands of edge endpoints.

Zeblok’s Ai-MicroCloud® has been certified to be deployed on Advantech SKY-8000 Series Servers. These optimized compute and networking nodes scale from pole-mount, extended operating temperature range configurations all the way up to high-performance platforms that can be deployed as micro data centers at the edge. They balance leading Intel® Xeon® Scalable processor performance with high density PCI Express card payload to integrate the required high-speed networking, time synchronization, and AI acceleration technologies. Its carrier-grade design and advanced platform management provide superior reliability to high availability 5G and Edge AI applications, while streamlining operations. The solution has also been validated to run in SmartPoint.IO kiosks delivering edge computing capabilities to AI inferences for smart cities.

“Beyond corporations, edge AI is transforming cities that now have the opportunity to build more efficient and attractive, greener and safer spaces for residents, tourists and businesses”, said Eric Hornsby, CEO, SmartPoint.IO. “The combination of Zeblok’s Ai-MicroCloud®, Advantech SKY-8000 Servers and SmartPoint.IO kiosks integrates all software and hardware components to help cities build a curbside data center that unlocks new edge AI opportunities, while fitting into urban residents’ lifestyles.”

The solution is immediately available for customer evaluation. For more information or to request a demo, please contact 

.

Intel, the Intel logo, and other Intel marks are trademarks of Intel Corporation or its subsidiaries.
Ai-MicroCloud®, Ai-Optimization-as-a-Service™ and Ai-Rover® are trademarks of Zeblok Computational Inc.

Additional Resources

Solution Brief: 

https://networkbuilders.intel.com/solutionslibrary/zeblok-computational-advantech-and-smartpoint-io-unlock-edge-ai-s-potential



Media Contacts

Charo Sanchez, Global Alliances Manager, Advantech Cloud-IoT Group
E-mail: 



Rajeev Laghate, Chief Commercial Operations Officer
E-mail: 



About Advantech

Advantech has the corporate vision to "Enable an Intelligent Planet." The company is a global leader in the fields of IoT intelligent systems and embedded platforms. To embrace the trends of IoT, big data, and artificial intelligence, Advantech promotes IoT hardware and software solutions with the industrial IoT platform – WISE-PaaS core to assist business partners and clients in connecting their industrial chains. Advantech is also working with business partners to co-create business ecosystems that accelerate the goal of industrial intelligence. 



About Zeblok Computational

Zeblok Computational provides a digital foundation for enterprises to execute and scale their Ai strategies from cloud-to-Edge and reduce cost per insight. Zeblok’s Ai-MicroCloud® is a comprehensive, portable, cloud native, turnkey Ai SaaS environment, which enables companies to easily create their own Ai ecosystem, to mix and match Ai ISVs and hardware manufacturers and deploy AI inferences as APIs at scale. ML Ops workflows enable simplified curation of Ai assets and delivery of end-to-end Ai solutions anywhere. The Ai-MicroCloud® includes a full Ai/ML DevOps capability, plus integrated tools to optimize completed Ai/ML models for heterogenous architectures and an Ai-API engine, which automates multi-cloud deployment of Ai inference engines to production and automates deployment to thousands of edge locations. Zeblok’s Ai-MicroCloud® accommodates multiple technologies from disparate vendors, saving 6-8 months of engineering effort, and installs securely to existing enterprise IT infrastructure to fit any topology, obviating the need to invest in equipment or structural changes, and bringing compute closer to data. computational.zeblok.com

CoreStack Announces Strategic Edge Computing Partnership with Zeblok

CoreStack Announces Strategic Edge Computing Partnership with Zeblok

Partnership to Drive Expansion of CoreStack’s Offering to Include Edge Resources and Zeblok’s Extension into Security Posture for Edge Servers

BELLEVUE, WA— April 21, 2022 — CoreStack, a global cloud governance provider that empowers enterprises to unleash the power of the cloud by enabling continuous and autonomous cloud governance at scale, today announced a strategic partnership to unleash the power of Edge computing with Zeblok Computational, a leader in providing comprehensive, portable, cloud-native AI environments from cloud to Edge, enabling automated scaling of AI inferences anywhere. The partnership combines CoreStack’s NextGen security governance with Zeblok’s expertise in Edge, to deliver a powerful joint solution -- Edge Security Posture Management (ESPM) -- empowering enterprises to successfully implement their Edge.

The CoreStack platform empowers customers to achieve security and compliance, enhance cloud operational efficiencies as well as optimize costs. It applies a unique Cloud-as-Code approach that leverages deep AI/ML, declarative definitions, and a patented cloud service-chaining technology. Customers can leverage CoreStack’s powerful cloud governance offerings — FinOps, SecOps and CloudOps — to govern operations, security, cost, access, and resources across multiple cloud accounts.

“As hyperscale cloud providers develop solutions to distribute their cloud capabilities closer to the Edge, it’s natural for us to extend our progressive cloud governance solutions to the Edge,” said Parul Chheda, Vice President of Strategic Alliances at CoreStack. “As we do that, we are augmenting our solutions for deployment in hybrid environments. While cloud, edge and hybrid are evolving, enterprises need governance, configuration management and orchestration systems to manage and move across tiers autonomously and continually. Having governed over $1 billion in cloud consumption annually, we are excited to broaden our solutions in the edge and hybrid space in partnership with Zeblok to address and mitigate security risks that are imminent across the architectural tiers, and extending beyond regular applications to AI applications.”

“By 2025 75% of all data will be created outside of traditional data centers – a paradigm shift toward compute everywhere. By 2035 one trillion edge devices will be operational, requiring millions of Multi-Access Edge Computing data centers (MECs). To process data in real-time, compute capability must be closer to the data. Business leaders responsible for value creation by leveraging Edge computing must understand the ecosystem complexity. To deliver an intelligent infrastructure platform, solution providers must address the continuum of learning, inferencing, and relearning. Edge infrastructure must co-exist with public clouds and on-premises deployments. This is why we built our AI-MicroCloud®,” said Mouli Narayanan, Founder & CEO of Zeblok Computational. “Our partnership with CoreStack allows us to serve the evolving digital-first approach adopted by enterprises that involves a future-ready digital transformation strategy, including delivery of AI workloads all the way to the Edge. Working in concert with CoreStack, enables secure deployment of AI, with full governance and compliance capabilities for multiple industries, anywhere.”

SmartPoint.IO announces a formal partnership with Zeblok Computational.

SmartPoint.IO, the Alpharetta, GA-based mobile Edge-Computing and Internet of Thing (IoT) kiosk hub innovator, announces a formal partnership with Zeblok Computational, a leader in AI middleware, whose Ai-MicroCloud™ curates and delivers Artificial Intelligence and Machine Learning based digital assets into an App Store for public and private venues nationwide, enabling large scale automated deployment of Edge inferences anywhere.


Why We Need Edge Computing
“The Internet of Things presents tremendous opportunities for public and private venues to realize efficiencies and enhancements across their existing and future service offerings. However, for citizens, visitors, employees, and commercial tenants to fully realize these outcomes, foundationally new infrastructure is needed at the edge of the network. Mobile Edge Computing, enabled by Multi-Access Edge Computing infrastructure (MECs), is a critical layer of the digital infrastructure that will carry our cities and communities into the future,” says Eric Hornsby, CEO at SmartPoint.IO. “We’re closer than we’ve ever been to a state where Edge Artificial Intelligence (AI) applications and Machine Learning (ML) afford real-time pragmatic Sensor Fusion based decision making to take place at scale in the physical world. Vast improvements in venue safety, traffic congestion, and economic development planning are realized when the growing thousands of IoT based sensors can share data values in real-time, without typical limitations in latency and data transport.” While these technologies are approaching market-readiness, our public environments are seeking solutions to address the capacity requirements to support latency intolerant and data intensive applications while also maintaining an aesthetic and economic balance. Edge compute infrastructure creates a digital foundation where these latency intolerant applications can function with the responsiveness they require.

How We Build Edge Networks
SmartPoint.IO deploys what look like giant smartphones on city sidewalks. With their bright displays, touchscreen interface, and location-based apps, they are intuitively welcoming for the public to use. Among the many functions of the SmartPoint.IO kiosk hubs, wayfinding, emergency alerts, community news and transit information are just a few features that add operational value to venues. These services are subsidized by brands that leverage a portion of the screen time for Out of Home advertising purposes, creating a commercial bridge for a vibrant revenue source to directly contribute to operational value within the installed environment.

But what lies behind the screen is the real magic of the SmarPoint.IO kiosk hub – each endpoint contains enterprise-grade edge compute servers with high-speed connectivity to enable software applications to run at the physical edge of the network. A multitude of patents make converging all this capability into a single point of presence possible, even as the kiosks are exposed to all the harshness of the city streets. Nearly limitless value is created when this edge infrastructure is easily accessible by the applications that require proximity. Zeblok helps make this happen.

Orchestrating Resources at the Edge
Delivering an AI solution from Core to Edge requires an ecosystem of multiple technologies and vendors. Zeblok’s Ai-MicroCloud™ is uniquely comprehensive cloud-native AI middleware for development, testing, training, optimization and deployment of an AI/ML model as Ai-API™ from Core to Edge. Zeblok’s Ai-MicroCloud™ is portable and can be securely deployed to on-premises data centers, public clouds, and MECs at the Edge.

“With 1 trillion Edge devices coming on by 2035 there is a need for orchestration of millions of heterogeneous MECs. Our vision of delivering AI/ML digital assets as AI-API uniquely organizes these assets into a digital AI-AppStore. We have been building AI App Stores with select hardware SKUs and AI algorithms by certifying them for technical and operational compatibility. The SmartPoint.IO kiosk hubs are an ideal means to take our combined solution to cities and venues in the coming months. The Ai-MicroCloud™ enables SmartPoint.IO kiosk hubs to become cloud data centers at the Edge, generating innovative new business models together we lead digital transformation 3.0,” shares Mouli Narayanan, CEO of Zeblok Computational.

Where We’re Headed
Independent research reports that the global edge computing industry is set to grow to more than $43 Billion over the next 5 years. “We’ve built a business that leverages existing revenue streams to support the development of next-generation edge-networks, which enable the future of edge applications and will become a significant growth driver toward the common objective of solving the digital divide,” explains Steve Hyser, President at SmartPoint.IO. “Collectively, we’ve only just scratched the surface of the technological advancements to come in edge computing, and with great partners like Zeblok, we’re deploying the foundational building blocks that make it all possible.”

Interested parties can inquire for more information by connecting with SmartPoint.IO or Zeblok on LinkedIn or by visiting 

Mouli Narayanan, Founder & CEO of Zeblok Computational Inc., among distinguished panelists at The CEWIT 2021 Conference, on November 3rd and 4th, 2021.

The CEWIT2021 Conference on emerging technologies for a smarter world is taking place on November 3rd and 4th, 2021. It will feature talks and panels on machine learning, artificial intelligence, blockchain, infrastructure and cyber security, and computerized medicine. This 17th international conference will showcase exhibitors and speakers worldwide and will include attendees from industry, academia, and government. To register, visit 

Zeblok Computational and UST Announce Partnership to Offer End-to-End AI solutions

SEATTLE, WA & STONY BROOK, NY September 8, 2021 – Zeblok Computational, whose Ai-MicroCloud™ provides portable, comprehensive, turnkey, cloud-native AI middleware that enables Ai-API™ economy, and UST, a leading digital transformation solutions company, today announced a partnership to enhance USTs cloud automation platform capabilities for AI. UST’s Ai-MicroCloud™ will provide a complete AI development, training, testing, optimization, and deployment in production as Ai-API™ from Core to Edge. UST will employ the Ai-MicroCloud™ for internal algorithm development and for the development of End-to-End AI solutions for their elite client base.

Zeblok Joins Intel® Partner Alliance

Zeblok is now an Intel® Partner Alliance member.

Zeblok Computational Enabling Athena Global Technologies to Provide AI Digital Transformation Solutions

Athena Global Technologies has selected Zeblok Computational’s AI Platform-as-a-Service to offer their clients AI-based digital transformation solutions to their Automotive, Healthcare, Banking & Finance, Education and Technology clients worldwide.

Athena is a global digital transformation solutions and services provider to enterprises. With in-house AI and cognitive machine learning expertise, Athena guides CXOs in understanding enterprise AI, crafting an early adoption strategy, accessing use cases and integrating practical AI applications with business processes in the fields of blockchain, IoT, RPA, etc.

Zeblok deploys a turnkey cloud native AI PaaS to enterprise data centers or their cloud(s), with high performance computing (HPC) orchestration and proven, curated AI algorithms. It simplifies enterprise integration of AI into mission-critical processes.

Through Zeblok’s Build Intelligence Services partnership program, Athena will provide their clients comprehensive AI-based solutions, from idea creation to implementation, including architecting solutions, project planning, building PoC and executing in their clients’ target markets globally, by using Zeblok’s turnkey AI PaaS.

Nvidia Blog Post: Researchers Using Several Zeblok AI-WorkStations for HPC in COVID-19 Drug Discovery

NVIDIA Blog: October 30, 2020 by NICOLE CASTRO
Startup Helps Deepen Our Understanding of COVID-19 with NVIDIA RTX-Powered AI
Zeblok Computational brings together all the elements data scientists need to develop machine learning models and workflows.
In the race to understand COVID-19, researchers need incredible computing power and performance to run and speed up their work.

New York-based startup Zeblok Computational is helping organizations accelerate their research with a cloud-native, AI platform-as-a-service that includes AI algorithms and high performance computing. It brings together all the elements data scientists need to develop AI and machine learning models, and allows them to more easily integrate AI solutions into their processes.

Zeblok is a member of NVIDIA Inception, a program designed to accelerate AI and data science startups with go-to-market support, expertise and technology assistance.

The company’s platform runs on one of the fastest GPU clusters in academia — the Strategic Machine-Learning Acceleration and Ray Tracing (SMART) cluster of 180 NVIDIA RTX 6000 GPUs, which is located at Stony Brook University’s Center of Excellence for Wireless and Information Technology, or CEWIT.

Using the SMART cluster, which supports deep learning and visualization in various applications, Zeblok is working with The Laufer Center for Physical and Quantitative Biology at Stony Brook and Akai Kaeru, a Long Island-based AI startup, to accelerate their COVID research.

Laufer Center Accelerates Protein Simulations in Drug Discovery
The Laufer Center uses physics-based models to analyze the motions, forces and free energies within biological mechanisms. The center’s COVID-19 drug discovery research uses computationally intensive simulations that allow them to better understand how proteins fold and bind to other proteins.

With Zeblok’s platform, the researchers are running these simulations using 128 GPUs from the SMART cluster.

A single simulation that previously took up to 21 days to complete now does so in less than two days. In a limited benchmarking program, the Laufer Center experienced a 6x improvement in performance over another GPU-based system.

Zeblok and Akai Kaeru Deliver AI for COVID-19 Outbreak Predictions
In the midst of a pandemic, predicting where cases may spike next is key. Zeblok and Akai Kaeru, which creates AI-powered software for data scientists, have developed a machine learning tool that can help make these predictions and gauge which areas are most at risk.

The companies are customizing a COVID-19 Epidemiology Notebook that allows researchers to visualize the progression of the virus through populations and help them recommend actions that show the best promise for a local community.

The notebook leverages Akai Kaeru’s explainable AI algorithm and Zeblok’s platform to deliver a cloud-based AI workstation. The algorithm is developed to analyze a massive dataset from more than 3,000 U.S. counties, allowing researchers to derive subpopulations of data attributes and find patterns regarding where the virus is likely to spread.

With this AI tool, researchers use data engineering and a pattern mining engine that’s GPU accelerated. This allows them to rapidly analyze a dataset with a large number of indicators on demographics, economics, race and ethnicity.

New capabilities are under development that will recommend possible mitigation strategies for local community profiles.

“Zeblok’s platform is a one-stop solution. It serves the needs of developers and users. It’s easy to get started and it runs our software in the most efficient way,” said Klaus Muller, co-founder of Akai Kaeru.

Zeblok has licensed Akai Kaeru software to create AI-powered workstations for data scientists to visualize and comprehend data as a first step in any AI software development. Through Zeblok’s flexible deployment options, this technology can be delivered to enterprises on premises or in the AI Micro Cloud at CEWIT.

Zeblok Computational and Trilogy Networks are partnering for the Rural Cloud Initiative (RCI)

Zeblok Computational and Trilogy Networks are partnering for 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 oil & gas operations via Trilogy's Edge network. The RCI is currently 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.

Zeblok Computational Announces Partnership with Laufer Center – COVID-19 Drug Discovery

STONY BROOK, NY, JULY 20, 2020 – Zeblok Computational is contributing to the efforts of two groups of researchers at The Laufer Center for Physical and Quantitative Biology, for COVID-19 drug discovery by providing Zeblok’s secure, scalable Supercomputing-as-a-Service platform, employing 128 GPUs from the CEWIT SMART GPU Cluster.

The Laufer Center simulations focus on 3 key proteins of the SARS-CoV-2 virus to pinpoint more precisely which drug candidates have the best binding affinity to various protein targets:
1. The RNA-dependent RNA polymerase (which copies the virus inside the cell, thought to be the target
of Gilead's Remdesivir, now in clinical trials)
2. The Protease (which chops up the virus proteins into the right pieces)
3. The spike protein (which is how the virus unlocks the door to enter the cell).

The Laufer Center is running their computationally-intense simulations to understand how proteins fold and how proteins bind to proteins – actions, mechanisms and binding affinities – to enable design of drugs for high-affinity binding to proteins. They apply state-of-the-art modeling, using physics-based methods to examine motions, forces and free energies within biological mechanisms. In a previous limited benchmarking program, the Laufer Center concluded that they achieved a 6x improvement in performance on Zeblok’s platform compared to NSF’s Blue Waters Cray GPU-based system. The structures of most COVID virus proteins are not yet known. Dr. Ken Dill’s group is computing many of their structures using MELD x MD, while Dr. Dima Kozakov’s group is computing structures of human-virus and virus-virus protein pairs.

“Companies offering in silico drug discovery services, such as computer-aided drug design (CADD), molecular modeling and quantitative structure-activity relationship (QSAR), have now become an important part of the pharmaceutical industry. Drug developers, especially those focused on the development of large molecules, are likely to continue relying on outsourcing for a significant part of their respective drug discovery and development operations. Zeblok Computational platform levels the playing field for researchers that need accelerated infrastructure for R&D. We uniquely combine computing platforms, orchestration, multi-cloud and in silico software developers to deliver quality services for companies engaged in drug discovery” said Zeblok Computational CEO Mouli Narayanan.

Zeblok Computational is incubated at and supported by CEWIT, using its SMART cluster of 180 NVIDIA RTX 6000 GPUs. “Our dual-use homogenous SMART Cluster is one of the fastest GPU clusters in academia and supports dual-use of both deep learning and visualization in a variety of applications” said Dr. Arie Kaufman, the Chief Scientist and the SMART Cluster Director. Mr. Narayanan further said “We want to help data center operators at the grass roots level to offer AI and AI-Hyperconvergence capabilities to their customers, enabling them to participate in the AI ecosystem. Companies are confronted with so much data that they increasingly need AI enabled smart processes. Implementation of 5G is further driving the low latency requirement for AI-Inferencing at Edge data centers. Zeblok’s orchestration engine seamlessly integrates multiple disparate resources into a complete AI model development environment all the way to the Edge, supported by its smart sourcing business model for surplus GPU capacity.”




Zeblok Computational Inc. is an Artificial Intelligence Platform-as-a-Service, providing a single unified pre-configured environment, with familiar frameworks and languages as well as a growing library of carefully selected proven original AI algorithms, enabling data scientists to begin developing AI models in minutes, to scale effortlessly for model training and to deploy in a runtime environment, with AI expertise and high touch assistance in integrating AI solutions into enterprise business processes. Zeblok’s container-based engineering platform leverages familiar open source software, adding a sophisticated proprietary multi-class, multi-cloud orchestration engine that combines heterogeneous environments through abstraction and virtualization and includes built-in resource management, multi-tier workload distribution, both front-end and back-end services and scale-out resource availability in minutes. Zeblok’s secure, smart sourced, Edge-connected accelerated infrastructure comprises a multi-cloud of over 7,000 GPUs, enabled by partnerships with the CEWIT and others. For more information: computational.zeblok.com

About The Laufer Center
The Louis and Beatrice Laufer Center, established in 2008 to advance biology and medicine through discoveries in physics, mathematics and computational science, is a hub for Physical and Quantitative Biology research at Stony Brook University. Laufer Center researchers come from several Stony Brook departments and Cold Spring Harbor Laboratory. For more information:
laufer-covid.org and laufercenter.stonybrook.edu




New York’s Center of Excellence in Wireless and Information Technology (CEWIT) at Stony Brook University is a next-generation research and educational facility with a mission to conduct interdisciplinary applied research in emerging and critical technologies, address the skilled technology worker shortage and to foster new enterprise development in wireless and IT communications, infrastructure, networking, and software. When CEWIT upgraded its accelerated infrastructure to a smart cluster of over 180 NVIDIA RTX 6000 GPUs in 2019, they realized they needed to orchestrate the various resources to achieve seamless distribution of compute power throughout the university, which led to its partnership with Zeblok. For more information: cewit.org

Zeblok Computational and QuNu Labs Inc. Partners for taking Quantum cryptography-based AI solutions to the US market.

Zeblok and QuNu Labs Inc. Partners for taking Quantum cryptography-based AI solutions to the US market. QNu Labs is a leader in quantum-safe cryptography products and solutions, offering unconditional and forward security of data on the internet and cloud. QNu Labs provides quantum random number generator, quantum key generation, quantum key distribution and management solutions across all industry verticals globally for which the highest level of data security is business critical.

Zeblok Computational is Selected Finalist - Edge Computing World's Startup of 2020

Zeblok Computational is Selected Finalist - Edge Computing World's Startup of 2020. The overall Winner will be announced at Edge Computing World, October 12th-13th.

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