MSI GeForce GTX 1660 Super Gaming

msi geforce to gtx 1660 super gaming Review

If you are looking for a review of the MSI GeForce GTX 1660 Super Gaming. you have come to the right place. I have searched the web for some of the most relevant and reliable sources that can give you an overview of this graphics card. Here are some of the key point I found

The MSI GeForce GTX 1660 Super Gaming X is a mid-range graphics card that offers excellent performance for 1080p gaming and decent performance for 1440p gaming. It is based on the NVIDIA Turing architecture and features 6 GB of GDDR6 memory running at 14 Gbps, which is faster than the original MSI GeForce GTX 1660 super gaming and on par with the RTX 2060 in terms of memory bandwidth.

The card comes with a factory over clocked boost clock of 1830 MHz. which is slightly higher than the NVIDIA reference of 1785 MHz. It also has a custom cooling solution with two fans and a metal backplate. which keeps the card cool and quiet under load. The fans also turn off when the GPU is idling which reduces noise and power consumption.

The card supports various features such as adaptive shading, concurrent integer and floating point execution. and DirectX Raytracing through software. However it does not support ray tracing hardware acceleration which is only available on the RTX series cards

According to the specifications from MSI the dimensions of this card are 248 x 128 x 52 mm. This means that this card is a dual-slot solution that occupies two expansion slots on your motherboard and case. It also has a length of 9.8 inches. which should fitt in most standard ATX case. but you may want to check the clearance of your case before buying this card.

You can use this card for deep learning. but it may not be the best choice for your needs. The GTX 1660 Super is a mid-range graphics card that offers decent performance for gaming and general-purpose computing but it lacks some features that are important for deep learning such as

Tensor cores

These are specialized hardware units that accelerate matrix operations which are essential for deep neural networks. MSI GeForce GTX 1660 Super Gaming does not have any tensor cores unlike the RTX series cards which have up to 544 of them.

VRAM

This is the amount of memory available on the graphics card. which determines how large and complex your models can be. With 6 GB of GDDR6 memory. the MSI GeForce GTX 1660 Super gaming. which is not bad but it may not be enough for some deep learning applications that require more data and parameters. For comparison the RTX 3090 has 24 GB of GDDR6X memory.

CUDA cores

These are the general-purpose processing units on the graphics card. which handle most of the computation. The MSI GeForce GTX 1660 Super has 1408 CUDA cores which is decent but not very impressive. For comparison the RTX 3090 has 10496 CUDA cores.

Therefore if you want to use this card for deep learning. you should be aware of its limitations and adjust your expectations accordingly. You may be able to run some simple and small models on this card. but you may encounter performance issues or memory errors with more complex and large models. You may also miss out on some features and optimizations that are available on the RTX series cards. such as ray tracing DLSS. and NVIDIA NGX3

If you want a better card for deep learning. you should consider getting an RTX series card such as the MSI GeForce RTX 2060 Super gaming or higher. These cards have tensor cores. more VRAM more CUDA cores and other features that can boost your deep learning performance and capabilities.

However they are also more expensive and power-hungry than the MSI GeForce GTX 1660 Super Gaming. so that before choosing a choice you should consider the advantages and drawbacks.