Comment by brian_herman__ | Hacker News Reader

Comment by brian_herman__ | Hacker News Reader

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

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.

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?

The RGB makes ML models train faster

Computers are multi-purpose machines

$120 for 3 fans lmao

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

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

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

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)

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

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...

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

Reply on news.ycombinator.com