Sonnet eGPU Breakaway Box 750ex - External GPU Chassis

It was nice while it lasted. This has finally died, after about 8 years of usage with an RX580 card to have an external GPU for my Mac Mini 2014 (Using TB2 to TB3 adaptor). I will not be purchasing a new one since the Mac has hardware issues now, but overall this was a good purchased.

We wanted to try out Minecraft with ray-tracing and the onboard Intel Iris graphics of my NUC i7 was obviously not going to be enough. Rather than replacing the computer, I decided to add an external graphics card using this eGPU housing. I was pleased to buy it on special offer at 345 Euro which was a great price (price seems to fluctuate quite a lot as stock comes and goes with different suppliers). The case is much bigger than I had expected, but I guess that is necessary to house the power supply and to fit the longer graphics cards. I went with a Asus GeForce Dual RTX 3060 12GB V2 OC Edition Gaming Graphics Card (DUAL-RTX3060-O12G-V2) for about 295 Euro, which fitted easily: https://www.amazon.de/dp/B096658ZWP Noise is very low. I would say it is actually silent compared to the fans of my NUC11 i7. Build quality seems very high, with good instructions for opening the case and installing the graphics card (not that this is exactly difficult to work out for yourself anyway!). The external USB ports on the back of the unit are very useful, and mean that I have been able to get rid of a USB hub that was needed for webcam, sounds and DVD writer. All works perfectly. The result - we can now play Minecraft with way better ray tracing graphics at between 50-60 fps. Ok so the graphics might be a little held back by being in an external enclosure compared to plugged directly into the motherboard, but the RTX 3060 was enough for what we wanted. Maybe the limitations of an eGPU enclosure are only significant with faster graphics cards? So I now have a decent PC for gaming, but also a tiny NUC that I can disconnect and easily carry when I need to work away from home. Almost best of both worlds, so I'm pleased. Be sure to check the list of compatible graphics cards on the SoNNet website before purchasing to make sure it fits (but almost every card I checked seemed to be on the list). **Conclusion** I would 100% recommend, very pleased in every respect, but worth watching the price for a while and buying when it is on offer.

No issues or hassles. The directions had good pictures to follow along. I use this for business (no gaming) for zoom meetings, lots of open tabs, and six monitors while having the flexibility of a laptop. The reviews here on Amazon were a little intimidating, however I found the installation of this eGPU and video card to be straightforward plug-n-play and the product to be excellent as advertised. It was easy enough to do myself without needing the manufacturer's support desk. I added 64Gb RAM to my laptop and a Radeon R7 350 HD7750 4GB to this eGPUex. The internet port and 4 usb ports on this eGPUex model eliminated the need for a separate dock to have just one usb thunderbolt cord to my laptop. To have a clean desk, I used a simple under desk laptop mount. I also used a pc under desk mount. I combined two monitor stands for three monitors each on a single extended pole. I added a reinforcement plate for my standup desk for the mount which gives good stability. I used adhesive clips and adhesive cable ties to manage all the cables underneath my desk. I also got a pebbles sound speakers so I wouldn't need a headset and Bluetooth for mouse, keyboard to not need a docking station and reduce the number of wires.

Fonctionne parfaitement, ma carte graphique RTX 4060 ti 16gb rentre parfaitement malgré ça taille. Ce qui a amélioré largement mon pc du côté gaming. Franchement je le recommande 🙂.

A nice looking box, though you need plenty of space for it. Great that the integrated power supply includes the necessary cables and that there is a thunderbolt cable to connect to my laptop. Having these makes the setup super easy.

Great package. The seller was very supportive and helpful. Excellent egpu setup for supporting AI/ML development needs.