Short answer: choose an Asus game motherboard and don’t worry about it.
Choosing the right processor is even more important. I will explain this article.
where I come from
I started programming computers when I was 10 years old.
When I was studying computer programming in software engineering (which I tried), I worked at a local computer store, advised clients, and built computers on their assembly line.
When I started making music, I realized that most producers have no idea when it comes to computers.
This is a bad combination because a good computer is your number one instrument that you use to make music.
Tips for choosing a good motherboard for making music. for more information best motherboard for music production
1. Just select the Asus motherboard
I think you’ve thought about it too much. Yes, you need a solid motherboard for your music production. All you have to do is choose one of the Asus game motherboards and not think about it too much.
Gaming motherboards are known as ROG, which stands for Republic Of Gamers.
Asus is an A brand with more than twenty-five years of experience in the production of the highest quality motherboards.
Game motherboards are supposed to be made under a lot of work, which is a good common denominator when it comes to making music. The game’s motherboard is also set to expand, which is great for music production as well, as you can upgrade or replace line components if your computer fails in a few years.
Asus is also compatible with motherboard BIOS updates that fix any issues.
2. It is more important to choose a good processor for music production
When it comes to music production, CPU is a defining component for convenience (and speed).
Thinking twice about your CPU is worth your time, attention and money as a motherboard. Don’t get me wrong, you need a solid motherboard!
Your processor speed determines whether you can work comfortably because you don’t have to render every time you change a MIDI note.
Check out my latest articles on this site about music making processors.
3. To be sure, google the type number on your motherboard
If you have opted for a motherboard, check it to make sure it does not bother you.
Google the type number on your motherboard along with “latency” and “music production”. If someone has a problem with a motherboard, they will probably ask a forum question about it.
You can find people who have or do not have a solution to the problem.
Tips for the best computer for making music
I have written many articles about music making computers, check them out for more information.
How much memory do you need to make music? Maybe it’s lower than you think. In my free ebook: The Truth About DJing and Music Making, I dedicate an entire chapter to music making computers.
If you’re serious about music production and want to take it to the next level,
download my free e-book for music production.
In addition to information on the basics of music production and computers for music production, the book also provides a unique insight into the world of DJs and music producers.
GIGABYTE Z390 Designare
Graphics processing units, such as GPUs, are dedicated processors with dedicated memory for performing high-speed operations. The GPU is very useful for deep learning tasks because it helps reduce training time by simply performing all operations at once, instead of one on one. GPUs can efficiently handle complex operations and assist with deep learning features such as matrix manipulation, computational requirements only, and computational performance.
Some of the common aspects to consider when choosing a GPU for your project include GPU RAM, cores, and tensor cores. In this article, we list some of the GPUs that are most suitable for deep learning projects. ZOTAC GeForce GTX 1070 graphics card
The ZOTAC GeForce GTX 1070 Mini graphics card is a small graphics card that offers a lot of functions. Inspired by NVIDIA’s Pascal architecture, the GPU provides high performance, improved memory bandwidth, and energy efficiency with the newly replaced high-performance Maxwell architecture. It runs on a GP104 chip, clocked at 1708 MHz, which allows the user to play 4K games at 60 frames per second. The graphics card requires an eight-pin PCI power connector for three display ports, 1.4 ports, and 2 HDMI 2.0b ports.
The ZOTAC GeForce GTX 1070 has two fans and a metal backplate that allows the card to handle VR titles because it’s so good. Its new graphics feature is combined with technology that allows you to redefine your computer as a platform for AAA games.
Read more about: Isaimini
NVIDIA GeForce RTX 2060
The GeForce RTX 2060 is powered by NVIDIA Turing architecture, which provides higher performance and power for real-time ray tracing. The RTX 2060 provides up to six times the performance of its predecessors. GPU is a suitable choice for graphically demanding PC games with dual functions that allow the user to play and stream them at the same time in the best quality. The system is powered by 1680 MHz, an image buffer of 6 GB GDDR6, and a memory speed of 14 Gb / s. NVIDIA Tesla K80
This GPU saves data center energy while increasing the throughput of real applications. This feature means better performance for the GPU. The core consists of a dual GPU design, 24GB GDDR5 memory, 480GB / s aggregated memory bandwidth and ECC protection for increased reliability and server optimization.
This GPU combines two graphics processors to increase performance. The NVIDIA Tesla K80 is a two-slot card that draws power from a 1 × 8-pin power connector. NVIDIA GeForce GTX 1080
Powered by NVIDIA’s renowned Pascal architecture, the NVIDIA GeForce GTX 1080 improves performance and energy efficiency. NVIDIA says Pascal “will deliver three times the performance of previous generations of graphics cards along with new gaming technologies and VR experiences.” Its unique GTX features premium material and steam room cooling technology.
The GPU supports DirectX 12 and has a large chip area of 7,200 million transistors. It also offers users updates for the new architectural framework, dual RAM buffer, 30 percent higher memory speeds, and more juice from the boost clock.
NVIDIA GeForce RTX 2080
The company is powered by NVIDIA’s next-generation Turing architecture, claiming “6x the performance of previous-generation graphics cards.”
The GPU has a biaxial 13-blade fan along with a steam chamber for cooler and quieter performance. NVIDIA pairs 8 GB of GDDR6 memory connected to a 256-bit memory interface with this model. The GPU operates at a frequency of 1515 MHz, which can still be scaled up to 1710 MHz.
NVIDIA GeForce RTX 3060
NVIDIA GeForce RTX 3060 is based on the NVIDIA Ampere architecture – the second generation RTX framework. This system provides “Ray Tracing Cores and Tensor Cores, new streaming multiprocessors, and G6 high-speed memory.” In addition, the GPU has NVIDIA Deep Learning Super Sampling – AI technology, which maximizes frame rates with the best image quality using the Tensor Core AI processing framework.
The system consists of 152 tensor cores and 38 ray tracing accelerator cores, which increase the speed of machine learning applications. The dimensions of the card are 242 mm in length, and 112 mm in width with a two-slot cooling solution. NVIDIA Titan RTX
NVIDIA Titan RTX is a useful tool for researchers, developers, and manufacturers. This is due to the Turing architecture, 130 Tensor TFLOPs, 576 Tensor cores, and 24 GB of GDDR6 memory. In addition, the GPU is compatible with all popular deep learning frameworks and the NVIDIA GPU Cloud.
NVIDIA Titan RTX is a two-slot card with DirectX 12 Ultimate support. Creates support for hardware ray tracing and variable speed shading. ASUS ROG Strix Radeon RX 570 graphics card
The ASUS ROG Strix Radeon RX 570 has a higher number of cores, better beat technology, and faster memory. The GPU also uses the Navi 14 GPU, which has a 1737 MHz clock and an 1845 MHz boost clock. Its 8 GB GDDR6 memory sits on a 128-bit bus and runs at 1750 MHz with a bandwidth of 224 Gbps. The graphics card also provides an enhanced gaming experience with a total bandwidth of 130 W.
