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Rate my AM5 Build!

Budget (including currency): INR 1,20,000

Country: India

Games, programs or workloads that it will be used for: Machine learning, Power BI (Ram Intensive), SQL, Data Science and analysis. Games like warzone, Cyberpunk,Valorant and any open world game.

Other details (existing parts lists, whether any peripherals are needed, what you're upgrading from, when you're going to buy, what resolution and refresh rate you want to play at, etc): 
I have Made a List please advice:

Ryzen 5 7600

Deepcool ag400 plus (Can i go with AG400 with single fan will it handle PBO?)

G.Skill Ripjaws S5 16GB (16GBX2) DDR5 5200MHz Memory Both are single units since it's cheaper that way...

MSI B650M Gaming Wifi

Rtx 4070 "GDDR6X" (Need High vram for ML)(Need a card that would be worth the money hence not opting for 4060 ti 16gb as its hardly 50 usd cheaper)

SN580 2tb ssd

Gigabyte P650B PSU

Any cheap case with 3 in built fans.

Monitor(included in budget): Gigabyte G24F2

Keyboard any cheap red switch mechanical

Question( does keyboard switch colour matter? I know red keys are loud but performance wise..)

I have fiio jd1 iem's to be used as headphones connected to my motherboards type-c port....

If I missed anything or is overspending in any possible way please advice as I could use the extra cash for education.

Websites You can use to recommend:

https://www.vedantcomputers.com/

pcstudio

https://elitehubs.com/

https://mdcomputers.in/

 

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the switches dont really have any performance difference that depends on the other sensors and past some price points you wont really feel a difference, the mouse is more crucial for gaming.

 

i like the rig but how much more expensive is a 6000mhz kit of ram is it that much ?

the cpu is a lil weak with 6 cores dont know how far thatll get you in machine learning and stuff depends on how intense the stuff you do is

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You're gonna need 6000MHz CL30 RAM. Don't compromise now in the last 1% of the sprint.

Desktop: Ryzen 7 5800X3D - Kraken X62 Rev 2 - STRIX X470-I - 3600MHz 32GB Kingston Fury - 250GB 970 Evo boot - 2x 500GB 860 Evo - 1TB P3 - 4TB HDD - RX6800 - RMx 750 W 80+ Gold - Manta - Silent Wings Pro 4's enjoyer

SetupZowie XL2740 27.0" 240hz - Roccat Burt Pro Corsair K70 LUX browns - PC38X - Mackie CR5X's

Current build on PCPartPicker

 

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1 minute ago, venomtail said:

You're gonna need 6000MHz CL30 RAM. Don't compromise now in the last 1% of the sprint.

Can  I buy a c36 and bring it down to cl30 via bios or is it impossible?

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1 minute ago, saksham77 said:

Can  I buy a c36 and bring it down to cl30 via bios or is it impossible?

Not really as then the speed will have to drop accordingly and won't be 6000MHz otherwise the RAM sticks won't handle the performance.

Desktop: Ryzen 7 5800X3D - Kraken X62 Rev 2 - STRIX X470-I - 3600MHz 32GB Kingston Fury - 250GB 970 Evo boot - 2x 500GB 860 Evo - 1TB P3 - 4TB HDD - RX6800 - RMx 750 W 80+ Gold - Manta - Silent Wings Pro 4's enjoyer

SetupZowie XL2740 27.0" 240hz - Roccat Burt Pro Corsair K70 LUX browns - PC38X - Mackie CR5X's

Current build on PCPartPicker

 

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3 minutes ago, Jueyyy said:

the switches dont really have any performance difference that depends on the other sensors and past some price points you wont really feel a difference, the mouse is more crucial for gaming.

 

i like the rig but how much more expensive is a 6000mhz kit of ram is it that much ?

the cpu is a lil weak with 6 cores dont know how far thatll get you in machine learning and stuff depends on how intense the stuff you do is

For machine learning its all upto the cuda cores as far as iknow the cpu stays idle and the gpu is the one doing the work. (I am proficient in data analytics and this machine learning stuff is new to me) I don't even have the budget to go with 7700x anyway.

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2 minutes ago, venomtail said:

Not really as then the speed will have to drop accordingly and won't be 6000MHz otherwise the RAM sticks won't handle the performance.

ok then are these good? kingston....

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these should be better for machine learning yeah

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15 minutes ago, saksham77 said:

ok then are these good? kingston....

Yea, these are good. Ryzen CPU's are sensitive to RAM speeds, especially timings. Going with slow RAM you'll disproportionately impact RAM intensive software you're using and slow your machine down in total, which is one of the reasons you're getting a new PC in the first place.

Desktop: Ryzen 7 5800X3D - Kraken X62 Rev 2 - STRIX X470-I - 3600MHz 32GB Kingston Fury - 250GB 970 Evo boot - 2x 500GB 860 Evo - 1TB P3 - 4TB HDD - RX6800 - RMx 750 W 80+ Gold - Manta - Silent Wings Pro 4's enjoyer

SetupZowie XL2740 27.0" 240hz - Roccat Burt Pro Corsair K70 LUX browns - PC38X - Mackie CR5X's

Current build on PCPartPicker

 

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21 hours ago, saksham77 said:

For machine learning its all upto the cuda cores as far as iknow the cpu stays idle and the gpu is the one doing the work. (I am proficient in data analytics and this machine learning stuff is new to me) I don't even have the budget to go with 7700x anyway.

Not really, you'll need to pre-process your data and load it up to your GPU before doing any training, so that's CPU related. How CPU intensive it is will depend on what you're doing before the actual training.

21 hours ago, Jueyyy said:

these should be better for machine learning yeah

21 hours ago, venomtail said:

Yea, these are good. Ryzen CPU's are sensitive to RAM speeds, especially timings. Going with slow RAM you'll disproportionately impact RAM intensive software you're using and slow your machine down in total, which is one of the reasons you're getting a new PC in the first place.

Going from 5200MHz to 6000MHz RAM won't have any difference whatsoever in their listed stuff, apart from games.

 

22 hours ago, saksham77 said:

Rtx 4070 "GDDR6X" (Need High vram for ML)(Need a card that would be worth the money hence not opting for 4060 ti 16gb as its hardly 50 usd cheaper)

Do you have any idea on what kind of models you'll be dealing with? Usually a 4060ti 16gb is a way better pick than the 4070 12gb, since that extra vram allows one to run many models that won't fit within those 12gb.

If you're sure that you won't be using any model bigger than 12gb, then go for the 4070 since it's faster.

FX6300 @ 4.2GHz | Gigabyte GA-78LMT-USB3 R2 | Hyper 212x | 3x 8GB + 1x 4GB @ 1600MHz | Gigabyte 2060 Super | Corsair CX650M | LG 43UK6520PSA
ASUS X550LN | i5 4210u | 12GB
Lenovo N23 Yoga

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38 minutes ago, igormp said:

Do you have any idea on what kind of models you'll be dealing with? Usually a 4060ti 16gb is a way better pick than the 4070 12gb, since that extra vram allows one to run many models that won't fit within those 12gb.

If you're sure that you won't be using any model bigger than 12gb, then go for the 4070 since it's faster.

Is there a specific website like kaggle where I would be abe to understand which type of models would be under 12 gb or above. I'm getting speciaized towards corporate data and sale prediction types  and nothing related to the ai bot stuff as that is afaik has heavy data needs....

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18 minutes ago, saksham77 said:

I would be abe to understand which type of models would be under 12 gb or above

Not really, since it depends on model size, the batch size you'll be using for training and whatnot.

Seems like you don't have much idea of what you'll be doing at all, which makes it hard to tell you what to get.

18 minutes ago, saksham77 said:

I'm getting speciaized towards corporate data and sale prediction types

Still, are you going to build classifiers? Regressors? How big the datasets are going to be?

You can do the above with just a CPU and no GPU at all using a small linear/logistic regression model with just 1 spreadsheet worth of data, or will need really large models to deal with terabytes of data.

 

Anyhow, since you also want to play games, I guess you can go for the 4070, and switch later if needed (like selling it and buing a 16gb GPU).

 

On the other hand, is 32GB enough for you? Will you be working on a python env with tons of pandas usage? Pandas may end up more memory hungry than powerbi.

FX6300 @ 4.2GHz | Gigabyte GA-78LMT-USB3 R2 | Hyper 212x | 3x 8GB + 1x 4GB @ 1600MHz | Gigabyte 2060 Super | Corsair CX650M | LG 43UK6520PSA
ASUS X550LN | i5 4210u | 12GB
Lenovo N23 Yoga

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30 minutes ago, igormp said:

Not really, since it depends on model size, the batch size you'll be using for training and whatnot.

Seems like you don't have much idea of what you'll be doing at all, which makes it hard to tell you what to get.

Still, are you going to build classifiers? Regressors? How big the datasets are going to be?

You can do the above with just a CPU and no GPU at all using a small linear/logistic regression model with just 1 spreadsheet worth of data, or will need really large models to deal with terabytes of data.

 

Anyhow, since you also want to play games, I guess you can go for the 4070, and switch later if needed (like selling it and buing a 16gb GPU).

 

On the other hand, is 32GB enough for you? Will you be working on a python env with tons of pandas usage? Pandas may end up more memory hungry than powerbi.

Is this all cpu only stuff possible with my current laptop?
Ryzen 5 3500u
20gb ram 2400 mhz

If so I might just get few projects done and start approaching jobs.....
 

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8 minutes ago, saksham77 said:

Is this all cpu only stuff possible with my current laptop?
Ryzen 5 3500u
20gb ram 2400 mhz

If so I might just get few projects done and start approaching jobs.....
 

Yeah, sure.

If you actually have no experience, you should just do stuff in your current laptop, or make use of google colab so you can have a better grasp at your actual needs before splurging money into something you're not sure of.

FX6300 @ 4.2GHz | Gigabyte GA-78LMT-USB3 R2 | Hyper 212x | 3x 8GB + 1x 4GB @ 1600MHz | Gigabyte 2060 Super | Corsair CX650M | LG 43UK6520PSA
ASUS X550LN | i5 4210u | 12GB
Lenovo N23 Yoga

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