When choosing an industrial PC, Mini PC or embedded computer, RAM is an important part of the system.
You may need to choose between 8GB, 16GB, 32GB, 64GB or more. But more RAM is not always better.
The right amount depends on what the computer needs to do. It also depends on the operating system, software and working conditions.
The right memory capacity helps industrial PCs run reliably in automation, machine vision, IoT gateway and edge computing applications.
Industrial computers come in a wide range of configurations. Some systems handle simple tasks. Others handle demanding applications such as AI, machine vision and data analysis.
Newer processors, such as Intel Core Ultra, can provide high performance for modern industrial applications. However, the processor is only one part of the system. RAM, storage, connections and cooling also matter.
What Is RAM?
RAM stands for random access memory. It is the short-term memory a computer uses while programs are running.
When you open a program, the computer uses RAM to store the data it needs. RAM gives the processor quick access to this information.
More RAM lets a computer run more programs at the same time. It can also help when the computer works with larger amounts of data.
For example, an industrial PC with 8GB RAM may be enough for a simple IoT gateway. A computer running an HMI, database and several other programs may need 16GB or 32GB.
However, more RAM does not always make a computer faster. If a program only uses 8GB, moving to 32GB will not automatically improve its speed.
The best choice is to match the RAM to the application.
What Is DDR4 RAM?
DDR4 RAM is a type of memory used in many industrial computers, Mini PCs and embedded systems.
Many industrial computers still use DDR4. It remains a good choice for many applications.
For example, the MiniDis FITLET3 is available with 4GB, 8GB or 16GB DDR4 RAM. The PBC-1000 also supports 8GB, 16GB and 32GB DDR4 RAM.
This wide range of options makes it easier to choose the right memory capacity for a specific application.
8GB RAM: For Simpler Applications
For an industrial Mini PC with one main job, 8GB RAM can be a good starting point.
An 8GB system can suit:
- IoT gateways
- Machine connectivity
- Remote monitoring
- Basic industrial automation
- Data collection
- Simple control applications
- Embedded Windows or Linux systems
An industrial PC does not always need as much RAM as a desktop computer.
For example, an IoT gateway may collect data from sensors and send it to another computer or cloud platform. If the computer does little processing locally, 8GB RAM may be enough.
The Stan Hollander ICT case study shows how a small industrial computer supports an automated production system. MiniDis supplied a Fitlet2 for an automated flower-packaging process. The computer works with sensors, printers, a central server and a robot arm.
Read the Stan Hollander ICT case study →
This example shows why you should choose RAM based on the application.
16GB RAM: A Flexible Choice
For many industrial and business applications, 16GB RAM is a good middle option.
It gives the computer more room to run several programs at the same time.
An industrial PC may need to handle data collection, PLC communication, an HMI, database software and remote management.
MiniDis offers several systems with 16GB configurations. The FITLET3 supports up to 16GB DDR4. The PBC-1000 is also available with 16GB DDR4.
For companies that expect their software needs to grow, 16GB can be a practical choice. It provides more memory capacity than 8GB without the cost of a 32GB or 64GB system.
32GB RAM: For More Demanding Applications
When an industrial PC needs to run more demanding software, 32GB RAM can be a better choice.
32GB can suit:
- Advanced industrial automation
- Edge computing
- Larger data-processing tasks
- Running virtual machines
- Running software containers
- Machine vision
- Industrial analytics
- Local databases
The PBC-1000, for example, supports up to 32GB DDR4 RAM.
The NISE 70 also supports up to 32GB DDR4 RAM. It suits IoT gateways, edge applications and compact automation systems.
The Vectioneer case study gives a good example of an industrial PC supporting an advanced automation application.
Vectioneer uses a compact FITLET2 as the computing platform for Motorcortex. The system supports real-time control, EtherCAT communication and browser-based engineering tools.
Read the Vectioneer Motorcortex automation case study →
The example also shows that RAM is only one part of the system. The processor, network connections, operating system, storage and cooling all matter.
64GB and More: For Heavy Applications
Machine vision, Edge AI and advanced analytics can require 64GB RAM or more.
For example, the NISE 3910E supports up to 64GB DDR5 RAM. It suits automation, machine vision, edge computing and industrial control.
For more demanding applications, the Airtop3 supports up to 128GB DDR4 SODIMM RAM.
A large memory capacity can help when a computer needs to work with large amounts of data. This can happen when several cameras produce image data at the same time.
AI software and data analysis can also need more memory.
However, RAM is not the only factor. Machine vision and Edge AI systems also depend on the processor, graphics or AI hardware, storage and data connections.
DDR4 RAM or DDR5 RAM?
When choosing between DDR4 RAM and DDR5 RAM, newer does not always mean better.
The motherboard and processor decide which RAM the computer can use.
Newer industrial PCs often use DDR5 RAM. DDR5 can provide better performance for newer and more demanding systems.
Newer platforms use processors such as Intel Core Ultra. These processors can support demanding edge and AI applications.
For example, the NISE 3910E supports up to 64GB DDR5 RAM. The LIVA M600 also uses DDR5 and suits industrial automation, gateway and edge applications.
Many industrial computers still use DDR4. It remains a good choice for many applications.
For B2B projects, you should also consider availability, long-term support and whether the parts work well together.
How Does RAM Affect Data Transfer?
RAM and data transfer are not the same thing.
RAM gives applications temporary space to work with data. Data transfer means moving data between devices or parts of a system.
For example, an industrial PC may receive data from sensors, cameras or PLCs. It may process that data and then send it to another computer, server or cloud platform.
Enough RAM helps the computer handle the software and data used during this process.
Other parts of the system also affect data transfer. These include network connections, storage, processor speed and available interfaces.
This matters for industrial IoT systems. An IoT gateway may collect data from many devices, process some of it locally and send selected information to another system.
RAM for Industrial Automation
In industrial automation, the computer is often part of a larger system.
It may communicate with PLCs, sensors, machines, cameras and other controllers.
A simple controller or gateway may work well with 8GB RAM. A system running an HMI, database, analytics software and other programs may be better with 16GB or 32GB.
The Vectioneer case study is a good example. Its FITLET2 runs Motorcortex and supports EtherCAT communication and engineering tools.
Explore the Vectioneer automation case study →
The example shows why you should look at the complete system instead of one specification.
RAM for Machine Vision and Edge Computing
Industrial machine vision can need more computing power than a simple control application.
Image processing, AI, data analysis and several camera streams can create a lot of work for the computer.
Look at the whole system when choosing hardware. The processor, graphics processor or AI processor, storage, network connections and cooling can all affect performance.
An edge computer can process data close to the machine or production line. This reduces the amount of data the system needs to send to a cloud service or remote server.
Local processing can also keep some systems running when they lose their connection to a remote service.
MiniDis offers industrial and Edge AI systems with different memory, storage and processor options.
How Much RAM Should You Choose?
As a simple guide:
8GB RAM
Good for dedicated systems, basic IoT gateways, monitoring and lighter applications.
16GB RAM
A flexible choice for many industrial PCs, automation systems and business applications.
32GB RAM
A good choice for more demanding automation, data processing, virtual machines and some machine vision applications.
64GB RAM or more
Best for demanding edge computing, machine vision, AI, analytics and other applications that need a large memory capacity.
These are general guidelines. The right choice depends on the software and the complete system.
Choosing the Right Industrial PC
RAM is only one part of choosing an industrial computer.
You should also consider:
- Processor performance
- RAM and memory capacity
- Storage
- Operating system
- Network connections
- Industrial I/O
- Mounting options
- Operating temperature
- Power requirements
- Cooling
- Required service life
- Long-term availability
MiniDis offers a wide range of industrial Mini PCs and embedded systems for automation, IoT gateways, machine vision and edge computing.
Choose the system based on the application and where you plan to use it.
Need Help Choosing the Right RAM?
The best RAM configuration depends on what your industrial computer needs today and what it may need in the future.
As a simple starting point, 8GB RAM can be enough for dedicated applications. 16GB is a flexible choice for many industrial systems. 32GB or more is better for demanding applications.
For machine vision, AI and advanced edge computing, 64GB or more may be the right choice.
The key is to choose the memory capacity together with the processor, storage and other hardware.
Whether you need an 8GB RAM industrial Mini PC, a 16GB DDR4 industrial computer, a 32GB system for automation, or a 64GB+ Edge AI platform, MiniDis can help you compare the available options.
Explore the MiniDis Insights & Case Studies to see how customers use industrial computers in real applications.
The right industrial PC is not always the one with the most RAM or the fastest processor.
It is the one that provides the right combination of memory capacity, processing power, data transfer, connections and reliability for the application.