Description

I am a high school student who recently became interested in Deep Learning, so much so that I created a club where I have speakers from high level organizations speak about the future of society with Artificial Intelligence assistance. I began researching AI by learning the basics of custom neural networks by training them in Google's Cloud, which was cost effective but time consuming considering that I was used to having a graphical interface running of a physical computer inside my house. That is when I decided to make the investment into purchasing my own rig and building it.

I love RGB but I wanted the main focus points of the RGB lighting to be within the physical components, not light strips that illuminate the entire build. For this reason I decided to buy an RGB liquid cooler for the awesome RGB looks and the chilling performance so that I could overclock my CPU. I also made sure to buy a motherboard that would last a long time and glow as well without taking too much attention away from everything else. The 4 sticks of 8 GB DDR4-3200 RGB RAM is what really lights up the build.

Part Reviews

CPU

Extremely fast processor with easy overclocking capabilities. Would recommend to anyone looking for the newest Intel processors. Runs cool with low TDP.

CPU Cooler

Is extremely quite and keeps overclocked i7-9700k cool. RGB features look amazing and was easy to install.

Motherboard

Extremely fast board with more than enough features. BIOS software makes NVMe Raid and overclocking quick and easy. Has more than enough USB 3 ports on the back I/O as well as Thunderbolt Type C compatibility. Built in WiFi works great even without antenna.

Memory

Fast and beautiful, what else do I need to say. Simple unboxing with beautiful aluminum design and bright, customizable RGB lights. They make the system glow and allows me to keep open all 75 of my tabs and a few games while I wait for TensorFlow models to train.

Storage

Fast storage at really fair prices for the storage capability. Straightforward installation and rocket speeds. Keeps cool even during lots of use. Boots windows quickly.

Storage

Fast storage at really fair prices for the storage capability. Straightforward installation and rocket speeds. Keeps cool even during lots of use. Boots Windows 10 quickly.

Video Card

The best version of the new Nvidia RTX 2070 in my oppion. Has all the RAM you need to run neural networks and run games like GTA V at 200 FPS (500 FPS in Minecraft). I mean I could go on and on about how good this card is but it doesn't really matter. Looks nice, works fast!

P.S. if you are looking into doing Deep Learning this card is faster for training and inference than the GTX 1080 Ti.

Case

Spacious and beautiful case with its sleek space gray aluminum design. Gives you everything you need to get your PC up and running and provides neat grommets and built in cable management solutions.

Power Supply

I don't know a ton about PSUs, but it works. It is able to power my i7-9700k, RTX 2070, and Kraken X52 under full overclocked load.

Comments

  • 10 months ago
  • 2 points

Need that chair and couch, also the build looks amazing choice as +1

  • 10 months ago
  • 1 point

Thanks! I wish I could send you the links to the chair and couch but I don't recall where I purchased them from. I believe it was RH Modern.

  • 2 months ago
  • 1 point

Hi,

how is the graphics card performance so far? is it smooth ?

  • 2 months ago
  • 1 point

Graphics card performance is so smooth. I won’t lie, it dips below 90 FPS during RTX games at 1080p quality.

  • 10 months ago
  • 2 points

I've recently been curious about using my 2080ti to mess around with ai or neural networks but not really sure where to start.

Build looks nice although cable management could use a little work. Very nice!

  • 10 months ago
  • 3 points

The Turning series chipsets are excellent for Deep Learning models and training. If you want I could give you somewhere to start with Deep Learning, just message me! I am always happy to help.

  • 10 months ago
  • 1 point

Why didnt you buy the new Evolv X?

  • 10 months ago
  • 1 point

I made a stupid mistake, however I didn't feel the need to return my current Evolv to purchase the new Evolv X.

  • 10 months ago
  • 1 point

Dang! Nice build in high school for sure. I would have killed for the equivalent pc when I was in high school.

  • 8 months ago
  • 1 point

How is your graphics card holding up? I can't seem to find a good RTX 2070 graphics card, a lot of them have a high failure rate and they only last like a month.

  • 8 months ago
  • 1 point

Mine has been working perfectly for the last two months. I purchased my card off of Amazon and have used it everyday for intensive Deep Learning training and 4k gaming.

  • 4 months ago
  • 1 point

That 550w PSU is probably always at its limit with all those components. Nice build overall though!

  • 3 months ago
  • 1 point

Thanks! I know that the power supply is one of those things that I should be least likely to cheap out on but from my monitoring I haven't hit full load on the PSU. I've gotten close when I overclocked my CPU and GPU at the same time for Cinebench but that's about it.