The paradigm of industrial computing has largely shifted from Cloud computing to Edge computing, but the rise of AI poses a new challenge. AI applications require powerful GPUs for their number crunching, while embedded PCs normally rely on integrated graphics alone to keep things efficient.

To meet this need, Cincoze has come out with two new series of GPU-embedded computers. Let’s take a look at what they bring to the table.

GP-3100 Series – Powerful and Expandable

Cincoze is known for its modular approach toward embedded computers, and these new products are no different. The GP-3100 series is the more “premium” product line, packing maximum computing power in a rugged package.

This includes the ability to be outfitted by two full-length GPUs (and the high-end desktop versions, not the low-power variants). These are Nvidia MXM cards, ideal for machine learning and AI algorithms.

In addition to the GPUs, the boards support all the other components you could require: high-speed NVMe SSDs, the latest 14th Gen Intel processors, and of course, any other I/O or storage modules based on your needs, thanks to Cincoze’s modular designs.

GM-1100 Series – Small and Efficient 

If the GP-3100 is a beast of a system intended for high-intensity applications, the GM-1100 is the staple workhorse that can slot into any industrial niche thanks to its small size and flexible connectivity options.

This is a GPU system as well, so it can run Nvidia MXM cards along with the latest 14th Gen Intel processors. For storage and extensibility, it sports M.2 slots, which can support both high-speed SSDs and better wireless modules.

To deal with the heating issues that can arise from the operation of a powerful GPU in such a small system, integrated cooling fans have also been added to the chassis. This along with its rugged industrial-grade build means that it can easily be deployed in a variety of environments. 

Are GPU Computers Even Needed? 

The new series of GPU PCs by Cincoze look good, but is there even a use case for them? After all, a GPU computer consumes far more energy than a normal embedded PC and is also more expensive.

AI itself is a big category, with many different applications that can take advantage of an MXM GPU to run powerful software. This includes things image recognition, data analysis, or even predicting impending faults of industrial machinery.

Even if you leave aside AI, GPUs are required in many other applications. Graphics-intensive tasks like medical imaging, for example, are sped up by a discrete GPU. Then there are parallel computing applications that need a GPU’s capabilities to perform smoothly.

And unlike most other expansion cards, a GPU cannot just be slotted into every motherboard or system. Not only does the chipset need to support the requisite PCI-E slot, but the chassis also needs better cooling and heatsink to deal with the higher heat produced by a GPU.

This means you need a GPU-embedded computer that is designed from the ground up to accommodate its increased needs, and the new Cincoze computers fit the bill. 

AI with Edge Computing: A Powerful Combination 

Edge computing is all about cutting down costs and improve performance (not to mention data security) by carrying out the computation tasks on-site instead of a remote data center. This becomes even more powerful when you throw AI into the mix.

A key application of Edge computing is to process the data where it is produced instead of transmitting it across the network – crucial when the volume of data is enormous and cloud computing isn’t feasible. AI excels at processing large data sets, primarily being a statistical algorithm, and as a result, is also best deployed at such an Edge computer.

Then there are the more time-sensitive AI applications like image recognition where you need the answer to be processed on the spot without wasting time on sending gigabytes of data and then waiting for the result. 

Do the Cincoze GPU Computers Match up to Expectations? 

Cincoze addresses a common failing of GPU computers – these systems can be too rigid in their builds, having highly specific set of capabilities that don’t fit the requirements of every application. By giving a powerful GPU core that can be outfitted with multiple different modules, Cincoze ensures that you can easily get a customized computer for your exact needs.

The two variants are well suited to covering both ends of the spectrum: the GP-3100 for high-end applications, the GM-1100 for the more regular use cases. Both run on 14th Gen processors for maximum computing speed.

And with Global American partnering with Cincoze, these modular systems are now easily available in the US, along with our experience and technical support. We also take care of going through your application’s needs to figure out the perfect system for you, along with a prototype to test things out.