[brian_herman__]

Here is their list:

PCPartPicker Part List: https://pcpartpicker.com/list/Jhyzcq

CPU: AMD Threadripper 3960X 3.8 GHz 24-Core Processor ($1348.00 @ Amazon)

CPU Cooler: be quiet! Dark Rock Pro TR4 59.5 CFM CPU Cooler ($89.90 @ Amazon)

Motherboard: MSI TRX40 PRO WIFI ATX sTRX4 Motherboard ($389.99 @ B&H)

Memory: Corsair Vengeance RGB Pro 64 GB (4 x 16 GB) DDR4-3200 CL16 Memory ($329.99 @ Amazon)

Storage: Sabrent Rocket 4.0 2 TB M.2-2280 NVME Solid State Drive ($399.98 @ Amazon)

Video Card: NVIDIA TITAN RTX 24 GB Video Card ($2499.99 @ Newegg)

Case: Corsair Crystal 570X RGB ATX Mid Tower Case ($179.99 @ B&H)

Power Supply: Corsair RMx 1000 W 80+ Gold Certified Fully Modular ATX Power Supply ($204.99 @ Best Buy)

Case Fan: Corsair LL120RGB LED 43.25 CFM 120 mm Fans 3-Pack ($120.99 @ Best Buy)

Total: $5563.82

Prices include shipping, taxes, and discounts when available

Generated by PCPartPicker 2020-07-15 11:13 EDT-0400

[Datenstrom]

I don't know if they are still running the deal but Nvidia was offering $500 off the Titan RTXs if you sign up for their developer program.

Edit:

Note that they can't be used with multi-gpu builds because they (purposefully) do not have a blower configuration. Unless you can source 2080ti blowers which have the same layout or do a water cooling build it will cause thermal throttling.

[p1esk]

You can spend half of the specified costs on every single one of the listed components with zero impact on your ML work productivity. $330 for 64gb of ram, really?

[el_oni]

The RGB makes ML models train faster

[akiselev]

That is high end RAM binned at 3200Mhz. Consumer RAM is mostly 2133/2400 and with servers often using 2666. RAM at 3200 (PC4-25600) gives you about 25% more peak bandwidth than RAM at 2400 (PC4-19200) and about 16% more than 2666 (PC4-21333)

[junar]

Not true, 3200 CL16 can be nearly as cheap as slower RAM nowadays, with multiple brands at sub-$60 per 16GB stick[1]. OP is paying extra for RGB, as another commenter points out.

[1] https://pcpartpicker.com/products/memory/#sort=price&U=4&Z=1...

[p1esk]

That might be true, but you don't usually care about that for ML workloads running on GPU. Bottlenecks are typically elsewhere.

[formerly_proven]

3200 and 3600 are the default choice on desktops these days.

[fokinsean]

$120 for 3 fans lmao

[jeffheaton]

Well, it did include the RGB controller, if that makes you feel slightly better. :-)

[alfonsodev]

Could you point to a more ML cost efficient build? I’m having problems finding good info resources

[p1esk]

https://timdettmers.com/2018/12/16/deep-learning-hardware-gu...

[GaryNumanVevo]

Computers are multi-purpose machines