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IOT

Best GPU for Deep Learning Tasks in 2021

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As technology advances and more organizations are implementing machine learning operations (MLOps), people are looking for ways to speed up processes. MobiDev’s AI team decided to look into the benefits and drawbacks of on-premises vs cloud graphical processing units (GPU).

On-Premises GPU Options for Deep Learning

When using GPUs for on-premises implementations you have multiple vendor options. Two popular choices are NVIDIA and AMD.

NVIDIA is a popular option at least in part because of the libraries it provides, known as the CUDA toolkit. These libraries enable the easy establishment of deep learning processes and form the base of a strong machine learning community with NVIDIA products. This can be seen in the widespread support that many DL libraries and frameworks provide for NVIDIA hardware. The downside of NVIDIA is that it has recently placed restrictions on when CUDA can be used. These restrictions require that the libraries only be used with Tesla GPUs and cannot be used with the less expensive RTX or GTX hardware.

AMD provides libraries, known as ROCm. These libraries are supported by TensorFlow and PyTorch as well as all major network architectures. However, support for the development of new networks is limited as is community support.

Cloud Computing with GPUs

Cloud resources can provide pay-for-use access to GPUs in combination with optimized machine learning services. All three major providers offer GPU resources along with a host of configuration options – Microsoft Azure, AWS (Amazon Web Services), Google Cloud.  

Microsoft Azure grants a variety of instance options for GPU access. These instances have been optimized for high computation tasks, including visualization, simulations, and deep learning.

In AWS you can choose from four different options, each with a variety of instance sizes. Options include EC2 P3, P2, G4, and G3 instances. These options enable you to choose between NVIDIA Tesla V100, K80, T4 Tensor, or M60 GPUs. You can scale up to 16 GPUs depending on the instance.

Rather than dedicated GPU instances, Google Cloud enables you to attach GPUs to your existing instances. Evgeniy Krasnokutsky, AI/ML Solution Architect at MobiDev explains: “For example, if you are using Google Kubernetes engine you can create node pools with access to a range of GPUs. These include NVIDIA Tesla K80, P100, P4, V100, and T4 GPUs.

What is the Best GPU for Deep Learning Tasks in 2021?

When the time comes to choose your infrastructure you need to decide between an on-premises and a cloud approach. Cloud resources can significantly lower the financial barrier to building a DL infrastructure.

In contrast, on-premises infrastructures are more expensive upfront but provide you with greater flexibility. You can use your hardware for as many experiments as you want over as long a period as you want with stable costs. You also retain full control over your 

However, if you do not have the necessary skills to operate on-premise resources, you should consider cloud offerings, which can be easier to scale and often come with managed options.

More detailed information about the benefits and drawbacks of on-premises vs cloud GPU in 2021 can be found at: https://mobidev.biz/blog/gpu-deep-learning-on-premises-vs-cloud

MobiDev is a US-based software engineering company focused on helping visionaries create their products with ease and joy. The company invests into technology research and has years of experience building AI-powered solutions, implementing machine learning, augmented reality and IoT.

PlatoAi. Web3 Reimagined. Data Intelligence Amplified.
Click here to access.

Source: https://www.iotforall.com/press-releases/best-gpu-for-deep-learning-tasks-in-2021

IOT

The Benefits of Using IoT SIM Card Technology

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Freeeway is a leading IoT connectivity service provider based in Vienna, Austria that currently provides M2M connectivity to over 180 Industrial IoT customers across the globe. But first let us understand the purposes of using IoT SIM cards.

Introduction

Evolution in business where communication, sharing of data and disbursement of information are the primary requirements for achieving optimized productivity, requires connectivity. Productivity in business can be optimized by facilitation of efficient connectivity and task completion. Premium efficiency in these critical aspects of business can only be achieved by automating the factors.

Machine-to-Machine (M2M) and Internet of Things (IoT) are revolutionary concepts employed by business institutions to facilitate the automation of business processes. These concepts guarantee accuracy and eliminate human errors as well. The quality of connectivity to be implemented as well as that of the process’ automation relies on the IoT SIM card service provider. This is to say that adopting a good IoT SIM card service provider has a direct impact on the productivity level of a business.

What exactly are IoT SIM cards?

IoT SIM cards (sometimes referred to as M2M SIMs) are used to provide the IoT connectivity required for the automation of these processes. To Establish a connection between two devices for communication purposes compulsorily requires access to data connection. Often, it is regarded as an unwise decision to utilize a standard cellular mobile SIM card as the form of connection provided by these SIM cards lacks the essential functionalities provided by IoT SIM cards.

Why IoT SIM cards are said to be better than normal cellular SIM cards in Business applications

One major intrinsic functionality peculiarly attributed to IoT SIM card connectivity is aggregated data packages. A lot of businesses are striving to implement automated processes, this will require using multiple IoT SIM cards at a time. By sharing data across a SIM estate or network, the risk of incurring charges for over usage can be seamlessly avoided. Furthermore, if one of the connected devices is overusing data and another device is under-using the data, both gain access to data from the same pot.

Another important reason to use IoT SIM cards for connectivity is the ease at which faults are identified. We already know that using IoT automates processes using machines which guarantee accuracy, but in rare cases when machines may develop little faults and malfunction; it is a lot easier for engineers to trace down the hitch and rectify quickly to avoid a slack in productivity. In addition to that, automated processes require less time to process and deliver even more accurate results than working with human resources.

More importantly, IoT SIM cards are vital for business organizations that have remote workers and branches as multi-network IoT SIM cards can also maximize uptime in remote locations. This can be done by roaming the networks on a steered or non-steered basis, with this, IoT and M2M devices or machines can minimize the chance of losing signal.

Steered roaming capabilities enable multi-network connectivity providing the primary network isn’t reachable. If the primary network can’t be reached the device will default to the strongest network available. While, non-steered roaming SIMs don’t have a primary network at all, this means that the device is always connected to the strongest available network. There are a lot more reasons to use IoT SIM cards that can be explored using SIM cards from Freeeway.

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IOT

Rapid Internet of Things Device Development With LwM2M in STMicroelectronics Ecosystem

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Device management is an important issue that any IoT solution provider needs to address. The engineers have to make the right decisions when designing, implementing, and testing the device. The most important, perhaps, is whether to use tested and approved existing solutions or to do things by themselves from scratch. There are many approved, mature solutions that can make the device design process efficient, and the Lightweight M2M (LwM2M) protocol is one of those. With ready-to-use components provided by the LwM2M protocol, device designers can quickly switch their focus to creating functionalities that give material business value to their customers without having to spend time on building device management functionalities themselves.

Engineers can be quite skeptical of ready-to-use solutions, and they are often not their first choice. To challenge that mindset and convince them of the usability of the LwM2M protocol, we demonstrate the deep integration of Anjay LwM2M SDK and Coiote IoT Device Management platform, the two leading LwM2M device management solutions, with the ST development environment.

Watch this webinar to learn more about what we provide:

  • Integration of Anjay LwM2M SDK with CubeMX to quickly get the skeleton of an IoT application inside the ST development environment;
  • Ready-made open-source sample applications of Anjay LwM2M SDK on popular ST discovery boards;
  • Seamless integration for device-to-cloud communication with IoT services from AWS and Microsoft Azure.
  • Integration of Anjay LwM2M SDK with security components provided by ST in order to meet high security standards;
  • Access to the Coiote IoT Device Management testing platform in which you can perform rapid integration testing to see how your IoT application works with our cloud infrastructure;

PlatoAi. Web3 Reimagined. Data Intelligence Amplified.
Click here to access.

Source: https://www.iotforall.com/webinar/rapid-internet-of-things-device-development-with-lwm2m-in-stmicroelectronics-ecosystem

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IOT

The PSTN Switch off Is Happening in 2025: Are You Preparing for This Change?

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analog phone end
Illustration: © IoT For All

Technological advances have had a dramatic impact on the way the world operates. All those miles of copper cables and telephone wires have given us the ability to chat to each other over landlines for generations, but not for much longer. Still, one of the biggest shake-ups on the horizon is the total switch-off of the traditional public switched telephone network (PSTN) in 2025.

Farewell to Analog Technology

Analog network technology is too expensive and difficult to maintain, and beyond that, it’s simply incompatible with the varied demands of modern communications. The future is in digital communication, with calls using VoIP (Voice over Internet Protocol) being routed over fiber-optic lines, cellular connectivity such as 4G, or even increasingly using low power wide area networks (LPWAN).

The problem, however, is that this change doesn’t just impact traditional landlines making voice calls. Many non-voice services currently use the PSTN network, such as faxes, alarms, door entry, and elevators. A new, secure, reliable, and easily installed solution is needed for all of these adjacent technologies. With the switch-off date, looming companies need to take action now. What some might see as a logistical headache is an opportunity for companies to move from the currently fundamental technology to a far more efficient and reliable solution with enhanced performance.

Which Sectors are Going to be Most Affected by the PSTN Switch Off?

PSTN plays a crucial role in the utility sector and particularly the water industry by connecting remote outstations, communicating telemetry data, and providing monitoring systems. Water companies are now identifying which solution providers can deliver the best value and innovative solutions for their future site communication needs. Switching away from PSTN requires a significant capital investment. They understandably want to maximize their return by gaining new capabilities such as detailed analytics through cloud applications while meeting their future regulatory objectives.

The legislation mandates that every lift in the U.K. and Europe has to have some form of emergency communications line in the elevator industry. Historically these S.O.S. voice calls were made via cables connected to the PSTN, but any lift systems still using this legacy technology must deploy an alternative communication method by 2025.

Cellular Connectivity is the Best Solution

Cellular connectivity is the simplest, easiest, and fastest solution to deploy to these elevators, offering reliable, always-on connectivity for emergency communication from the lifts 24/7 through roaming or dual SIM solutions.

Companies are also more commonly installing CCTV cameras in their lifts to monitor real-time events such as medical emergencies or assaults. Using a VPN (Virtual Private Network), companies can access two-way data transmissions directly through an encrypted 4G connection for secure remote monitoring, an added benefit of the change.

The infrastructure can also be monitored and maintained over the network even in remote locations, reducing the number of on-site lift maintenance checks and saving money on expensive engineers, equipment, and transport.

One Step Further with LTE-M Rollout

In the future, emerging cellular technologies like LTE-M (Long Term Evolution for Machines) have the potential to provide superior penetration into buildings, supporting low-data applications and optimizing deployment and ongoing costs.

Cellular connectivity certainly feels like a suitable replacement for PSTN connections, and this was the recommendation of the Lift and Escalator Industry Association in their press release from November 2019, which discussed the benefits of using GSM mobile networks.

Before proceeding with the switch over, solutions providers must make sure that they choose the best connectivity partner for the job. They need experts who can quickly and easily deploy this technology at scale. To manage thousands of lifts internationally, they must feel confident that their new solution will connect seamlessly to multiple mobile networks and that those connections will be secure, reliable, and easily managed through one integrated platform.

PlatoAi. Web3 Reimagined. Data Intelligence Amplified.
Click here to access.

Source: https://www.iotforall.com/the-pstn-switch-off-is-happening-in-2025-are-you-preparing-for-this-change

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IOT

Precision Agriculture Grows Up in US

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agriculture technology
Illustration: © IoT For All

Precision Agriculture is the leading-edge IoT application for farmers, and the most extensive farming areas in the U.S. are sprinting to the front of the pack. 

Precision agriculture is a farming management method used to describe farming that uses IoT technologies like satellite farming or site-specific crop management to observe, measure, and respond to changes in crop conditions in real-time. This presents apparent benefits to farmers because it can help them avoid the worst outcomes of overwatering, dry periods, and even pest infestations while preserving land viability and improving profits. In addition, these tools can allow farmers and ranchers to reduce environmental footprints, lower costs, and improve productivity. 

Several U.S. states with considerable investments in agriculture are setting out plans to encourage precision agriculture deployments. Let’s take a look at two in particular: North Dakota and Nebraska. 

South Dakota State University (SDSU) recently opened its Raven Precision Agriculture Center, with a grand opening ceremony for the 122,694-square-foot facility and a celebratory Precision Agriculture Bowl football game on September 11. 

In a statement to the Brookings Register, John Killefer, South Dakota Corn Endowed Dean of the College of Agriculture, Food and Environmental Sciences, said, “We appreciate the support of the many South Dakota stakeholders who helped to make this new hub of teaching, research, and outreach possible. The new Raven Precision Agriculture Center features spaces to house modern precision farm equipment, 15 teaching labs, 12 research labs, and 22 collaborative spaces. Scientists from various departments and agricultural industry partners can collaborate in research, education, and outreach activities.”

SDSU was the first land-grant university to offer both a bachelor’s degree and minor in precision agriculture, the minor in 2015 and the major began in 2016. Since then, the program has graduated 36 students with a degree in Precision Agriculture. There are 82 current students enrolled in the major, and 57 are pursuing the minor for the Fall 2021 semester.

The new learning center, which costs $46.1 million, is hosting about 500 students that are studying agricultural and biosystems engineering, agricultural systems technology, agronomy, and agricultural science.

Just to the south, neighboring state Nebraska is also making moves, but at the national level. Nebraska Republican Senator Deb Fischer recently introduced the Precision Agriculture Loan Act and Minnesota Democrat Amy Klobuchar. The bipartisan legislation is written to create a program within the U.S. Department of Agriculture that would provide loan financing to farmers and ranchers across the country that are looking to purchase precision agriculture equipment or solutions.

The proposed legislation was supported by the Association of Equipment Manufacturers (AEM) in a recent statement. Dennis Slater, AEM President, said in a statement that the bill “will give U.S. farmers a whole new set of tools to help achieve climate goals while continuing to feed and fuel the world.”

In all respects, the technological improvements to process and sustainability enabled through the implementation of Precision Agriculture mean good things for farmers, eaters, and society in general. 

PlatoAi. Web3 Reimagined. Data Intelligence Amplified.
Click here to access.

Source: https://www.iotforall.com/precision-agriculture-grows-up-in-us

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