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Edge Computing & IoT

Explore our library of resources on Edge Computing & IoT.

The State of Edge Computing Today

Computing Models
All major cloud service providers are emerging as the leaders in the edge computing space with offerings such as AWS Greengrass (Amazon), Azure IoT (Microsoft), and Cloud IoT Edge (Google). In the edge hardware space, the biggest launches include HPE’s edge computing device Edgeline Converged Edge Systems, NVIDIA’s computing platform Jetson TX2, and Dell’s Edge Gateways.
Networking & Connectivity
The combination of edge computing with 5G technology gives rise to opportunities that can significantly augment digital experiences, boost performance, and support data security. Enterprises around the world are investing in 5G technology to leverage newer kinds of networking capabilities for advanced enterprise assets at reduced dependencies.
Data Processing Architectures
Innovation in AI/ML space and related applications has surged with the rise in edge computing adoption. By bringing the processing units closer to the data source, edge computing architectures are enabling enterprises to leverage real-time data processing to get faster access to meaningful insights; while also ensuring reduced backhaul costs, improved automation efficiency, and optimal equipment utilization.
Solution Development Models
All of these new systems and architectures need a supporting ecosystem of services, products and solutions too. This has opened up a need for newer solution development models for software, hardware, and connectivity infrastructures.

With the emergence of 5G, service providers and enterprises are preparing for a new generation of dynamic, customized, and profitable business services.

These elements have given rise to distinct architectures depending upon the nature of the industry and use case.

Adopting Edge/IoT Computing Service for Your Enterprise

Edge computing has the power to generate significant competitive advantages for its early adopters across industries. That said, there are several factors to be considered before stepping into the game. The following decision matrix lays out the factors you should assess and analyze to determine the kind of edge architecture and adoption approach that would work best for the unique needs of your business:

Latency

Location

Analysis

Dashboard

Device Monitoring

Deployment

Security

Compliance

On/Offline Support

Data Management

Remote Management

ACS Solutions can work with you to determine the suitable architecture for your enterprise based on these parameters and incubate the same within our Edge Center.

ACS Edge/IoT Lab Offerings

ACS Edge Lab

ACS Solutions has established an Edge Lab in Atlanta GA, where we have developed an ecosystem of technology assets and talent in the field of Edge Computing. The goal is to work with customers and accelerate their adoption of edge computing services tailored to specific use cases across industries.

Areas our Edge lab is focused on at present are:

Multi-platform environment, leveraging partnerships with AWS, Azure and GCP, combined with device offerings from NVIDIA, Intel, and others.

Pre-built components and quickstarts that can rapidly enable integration of IoT products and solutions with 5G/Edge services.

Emulations for different Edge computing architectures and patterns – onsite, local, private networks, carrier-driven – within ACS Edge Sandbox environment.

Areas our Edge lab is focused on at present are:

Multi-platform environment, leveraging partnerships with AWS, Azure and GCP, combined with device offerings from NVIDIA, Intel, and others.

Pre-built components and quickstarts that can rapidly enable integration of IoT products and solutions with 5G/Edge services.

Emulations for different Edge computing architectures and patterns – onsite, local, private networks, carrier-driven – within ACS Edge Sandbox environment.

Get in touch with us for feasibility studies, joint workshops, pilots and ideation sessions.













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