gundamMC

I've been working on a project that basically creates virtual assistants through deep learning. Here's the link to it if you want to check it out: https://www.animius.org/ (or Github at https://github.com/gundamMC/Animius). It's still in dev so some things may not work yet.

RTX 2060. A lot of GPU renderers (e.g. Octane, Redshift) do not support AMD gpus.

If you like compact ones, you could check out the Meshify C and the H500.

Tensorflow (a really popular deep learning library) requires CUDA. This is also pretty much the same across other libraries such as pytorch. So, if you are doing deep learning, I would really suggest a NVIDIA gpu. That said, if you really want to stick with the 480, there's the ROCm port (https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) which allows it to run on AMD gpus.

If I remembered it correctly, the p106 mod only works with 4th gen and higher CPUs, as well as windows version 1803+.

Taobao

It's doing quite well. I have yet to try more benchmarks, but, according to others who have, it performs about the same as a 8700 (non-k), which is still a bit better than the 1600x. That said, you are sacrificing motherboard compatibility (since you have to either use the overpriced C246 chipset or mod a 1151 board) and customer support.

Or go download a template and edit it. You could just change the text (no code required) in a static HTML template or use something like Wordpress that has page builders (literally drag and drop). Hosting with a FTP-based cloud server is extremely simple and much cheaper than the mentioned services like wix.

With all the LTT videos on Chinese computer parts, I've decided to make a $600 semi-budget build (you could technically achieve the same performance under $500) using mostly parts from China, including the featured P106 and a modded Gigabyte z170x gaming 3 motherboard. Although it is supposed to be a budget build, I did buy some parts with future expansion in mind since I will be using it as a server. (maybe another p106? lol) The only components brought from China were the CPU, motherboard, and graphics card. The case being too heavy to ship, and I did not want my PSU to explode. The other components had relatively the same prices as in China. Specs: CPU: E2146G Motherboard: Gigabyte Z170X Gaming 3 RAM: Single G.Skill Aegis 8GB DDR4 2666 GPU: Gigabyte NVIDIA P106-100 Storage: Crucial mx500 512GB PSU: Corsiar CX550 CPU Cooler: Arctic Freezer 33 eSports ONE Case: Fractal Design Meshify C (not really budget but it looks really good ) E2146G and Z170X The e-2146g (https://ark.intel.com/products/134866/Intel-Xeon-E-2146G-Processor-12M-Cache-up-to-4-50-GHz-) is basically a new "E3" series processor which requires the new C246 chipset motherboard. The motherboard requirement, however, can be easily bypassed. By modding the bios and preventing contacts of a few pins, the e-2146g can be installed on any 1151 board. For instance, you could put it in a B150 motherboard and use DDR3. They also support "AMD only" DDR3 ram, which are basically ram chips from old-server-ram soldered onto new pcbs. These rams are surprisingly cheap at about 50% of regular ddr3 prices. The cheaper ones could go to about $15 for a single DDR3 8G 1600. Nevertheless, I went for a Z170X which requires normal DDR4 ram for better upgradability (which ended up costing 40 dollars more). The motherboard costed about $70. It was pre-modified to support all 6, 7, 8-gen and E21xx CPUs, thus costing $20 more than a non-modded z170x gaming 3. Meanwhile, the e2146g costed around $180. The specs are pretty much identical to the Intel page except that it runs at 3.4Ghz and turbos up to 4.3Ghz. P106 You guys probably have already seen it a million times so I will not say too much about it. The graphic card looks OK other than the dusts in the heatsink. Temperatures are alright with about 30 degrees Celsius on idle and 50-ish when gaming. The Build Benchmarks 3DMark Assassin's Creed: Origins on very high settings Cinebench

Divinity 2: Original Sin

Electric?

Use it for cuda? I just got a p106 for rendering and training deep learning models.

Actually I'm building one right now. Just waiting for the parts to arrive.

Already out of stock.