The Internet of Things (IoT) typically relies on the cloud to support its data-gathering and storage functions. However, edge computing is a powerful alternative. It brings processing closer to home, delivering many benefits. Learn the top edge computing solutions for IoT devices to enhance individual and corporate setups.
What Is Edge Computing for the IoT?
Most of an IoT device’s assets reside on external servers. Those connected to the cloud may transmit to networks, hardware and infrastructure in data centers thousands of miles beyond the equipment owner’s control.
Edge computing brings the technologies that empower the IoT closer to the source. Centralized cloud servers provide convenience, but localized resources may be better because of their additional benefits. Edge devices can also be an intermediary between the IoT and the cloud by handling processing, analytics and other tasks before transmission.
Enabling computing near IoT devices can create greater consistency. Sending, receiving and storing information happens faster because of proximity, and disruptions are less frequent because of greater control over the entire system.
The value of edge solutions for the IoT is entirely company-dependent. Buyers must discover the most secure, dependable, innovative companies to enhance their sensor-based machinery.
Also read: IoT Data Security and Monetization: Exploring Ethereum’s Potential
The 5 Top Edge Computing Solutions for IoT Devices
The industry’s best options include various products and services to make every IoT ecosystem more scalable and efficient with edge-based innovations.
1. Synaptics
The experts at Synaptics optimize the bridge between the IoT and edge computing, offering clients convenient and high-performance solutions. Consumers benefit from the company’s inventive systems. Its team embraces faster Wi-Fi, next-generation artificial intelligence (AI) and sturdy hardware to make every process fast and consumer-focused. With 2,617 patents, it is an industry force trusted by big names like LG and QSI.
Some of its solutions include its SL Series microcontrollers and SR Series microprocessors. These devices use AI to enhance graphics and media, make environments more fluid and dynamic, and achieve higher processing.
Its most unique offering is the Astra Machina Foundation Series. It is a development kit that showcases Synaptics’ best work. It features open-source edge AI, Wi-Fi 6 and 6E solutions, the SL-Series cores, and the company’s efficient multimodal media processing platform. It delivers on-device AI in minutes, enabling ultra-flexible connectivity in the IoT and edge ecosystem.
2. Digi International
Digi International was founded in 1985. It serves over 35,000 customers and 200 global distribution partners. It has a massive range of products, serving industries from health care to smart cities.
Its products and devices include system-on-modules, single-board computers and user-friendly, remote IoT monitoring from buildings of any size. Some of its best edge-compatible products are the Digi ConnectCore SOM and the Digi IX40 edge-optimized router. The corporation focuses on adding value to each of its offerings. For example, the IX40 also contains WAN Bonding and license-free security software. All solutions come with extensive warranties and dedicated customer support.
Digi International specializes in enterprise and industrial edge computing options. The technologies it provides for industrial IoT are made to withstand rugged environments and intense facility conditions. If organizations seek solutions beyond edge computing and the IoT, Digi International also has a large suite of additional services and products.
3. Cisco Systems
Cisco is one of the more expensive options with a vast networking and security services portfolio. Its goal is to provide an inclusive future for everyone, and this driving purpose influences the quality and range of its edge computing and IoT solutions.
Its equipment runs on application-centric infrastructure to help organizations optimize and simplify complex networks, even in data centers. Cisco Systems’ Application Centric Infrastructure automates numerous workload processes to make edge computing more trustworthy and intelligent.
There are many resources on its website for learning about the intricacies of edge computing and how it influences the IoT, especially when leveraging AI. For example, customers can learn how to verify a device’s security and integrity before purchasing. They can also view breakdowns of different routers and protocols, comparing them based on their features.
4. Amazon Web Services (AWS)
AWS’ IoT Greengrass suite is another open-source option. It prioritizes remote operations for all device fleets, making scaling accessible. Its ecosystem does not require firmware updates to manage edge devices and the IoT. AWS also has experience in various industries, including agriculture and factories that manufacture autonomous devices.
Its transparent pricing is one of its best features. There is an easy-to-use tool where buyers only need to input their location to determine monthly pricing per device. The structure also includes examples, so there is no confusion for even the most complex organizations and device stacks.
The company’s modular mechanical components offer buyers prebuilt or customized tech. It gives companies the flexibility to remove, add and repair devices, lowering carbon footprints and costs.
Also read: Top 20 Popular AWS Services
5. NVIDIA
NVIDIA is prepared to help the planet deal with billions of IoT devices. It has its edge solutions in warehouses, retail and countless other industries. Its edge infrastructure uses AI and robotics to ensure faster speeds than conventional cloud or data center transmissions.
Its best products include the NVIDIA EGX, IGX Orin and Jetson platform. These represent the computational, AI and robotic machinery behind the company’s high-performance solutions. NVIDIA’s products have a life and support cycle of over 10 years, giving companies plenty of time to experiment and expand their networks and infrastructure. The company also has many software and hardware variants, so buyers can pick what suits their needs.
Curious minds can explore the company’s website to see the many case studies that exemplify the success of NVIDIA technologies in practice. Read experiences from smart stores using AI to optimize last-mile delivery or Australian initiatives integrating edge-based IoT to build smarter roadways.
How Does Edge Computing Complement the IoT?
The benefit of conventional IoT setups is the minimalist equipment stack. Data and other functions are delegated to the cloud or external devices. Edge computing enhances the IoT because it shortens the distance between essential functions.
Analysis and processing are faster because of reduced latency. It lowers delays between networks, optimizing every device’s resources for better real-time performance. Users have more immediate access to insights. This gives teams a faster reaction time when discovering inefficiencies and obstacles, stepping in more swiftly to implement productive changes.
Using dedicated edge equipment to sort and transfer information also improves the compatibility and coherence of the data before it gets to a cloud server.
Additionally, the IoT and the cloud are facing greater cybersecurity threats. Segmenting operations into more spaces may increase the number of attack vectors, but perimeter attacks are less likely to occur than outright breaches to IoT devices or cloud infrastructure. Information and device integrity can remain intact and well-defended, improving uptime and equipment longevity.
The Features of a Quality Edge Computing-IoT Company
Each business embraces these competitive traits of data-driven, secure edge computing operations.
Rapid processing and analytical power
- Lowers latency
- Streamlines decision-making
- Provides instant insights
Sustainable scalability
- Lowers data transmission expenses
- Supports compatibility with tech and app stacks
- Enables IoT growth and future deployments
Compliant and robust security
- Adheres to regulatory best practices for IoT- and edge-specific guidelines
- Employs defensive solutions curated for these technologies in response to trending attack types
- Prioritizes privacy and anonymization to protect data
Long-term support and service
- Continues supporting devices and opposes planned obsolescence
- Services equipment from a device, infrastructure and software level
- Offers ongoing updates and solutions for aging devices
Multisector accessibility
- Demonstrates expertise in implementing tech across varied industries
- Solves pain points specific to each sector
Making the IoT Smarter
The top edge computing solutions for IoT devices exhibit the qualities of the future. They are well-protected against digital threats, process information quickly and save companies time. Information will only enter digital spaces rapidly as society becomes more data-driven. Individuals and organizations must consider contacting these companies to level up their IoT infrastructure with edge solutions.
