Building workstation for Machine learning

boredddddd

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Hi guys,

Looking to build a workstation around tentatively an i9-9900X, 4 RTX 2080 Ti, 64GB RAM, budget around 13k. Are there any good contractors around doing these sort of things? Would appreciate any recommendations so that I can email them for quotations.
 

Tan Gee Ming

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why need 4 nvidia 2080ti . 1 asus 2080ti ROG STRIX cost $2300. too powerful for any person usage.
 

-Synchronicity-

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Hi guys,

Looking to build a workstation around tentatively an i9-9900X, 4 RTX 2080 Ti, 64GB RAM, budget around 13k. Are there any good contractors around doing these sort of things? Would appreciate any recommendations so that I can email them for quotations.

Maybe consider rtx Titan instead?

The 24gb of vram helps alot in

1. Larger batch jobs for machine learning
2. Can input parameters with more features like bigger pictures
3. More memory means lesser chance of hitting out-of-memory issue
 

SkyShroud

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budget 13k
1 rtx titan cost how much?
1 2080ti cost how much?

not to forget the mb, psu, ssd/hhd, casing, fans, cooler costs

also learning is subjective to what they doing therefore, not everybody need lots of memory, not everybody need performing tensor cores for fp 16 multiplication f32 accumulate

he isnt asking for advise on what rig to purchase
he asking for contacts for shops/companies that setup such workstations
 

haylui

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why don't consider AMD ThreadRipper? more PCIE lanes and memory channels. For slightly higher cost vs your i9.
 

Wataru

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Hi guys,

Looking to build a workstation around tentatively an i9-9900X, 4 RTX 2080 Ti, 64GB RAM, budget around 13k. Are there any good contractors around doing these sort of things? Would appreciate any recommendations so that I can email them for quotations.

AMD Threadripper 2950x will do u fine at way cheaper too
 

Rock-kun

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Your 'machine learning' is CPU or GPU driven.

Regardless, Nvidia has a clause in their EULA which legally prohibits the use of GeForce hardware for ML or datacentre deployment.

Secondly, forget about consumer Threadripper or i-Extreme series. Just go straight for Xeon or Epyc.

Lastly, ML will always benefit from more threads, so consider a 2990wx if die die must get consumer hardware.
 

Rock-kun

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These specs should be the bare minimum when considering a machine for serious ML:

--- >>

Goes without saying that the pathetic R7 240 should be replaced with something beefier.
 
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Wataru

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Your 'machine learning' is CPU or GPU driven.

Regardless, Nvidia has a clause in their EULA which legally prohibits the use of GeForce hardware for ML or datacentre deployment.

Secondly, forget about consumer Threadripper or i-Extreme series. Just go straight for Xeon or Epyc.

Lastly, ML will always benefit from more threads, so consider a 2990wx if die die must get consumer hardware.

Machine learning and Deep learning tend to be GPU based rather than CPU based.

Unless you also have other CPU based compute task, get the cheapest CPU that has the PCIE lanes for 4x GPUs
 
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ronnie_gogs

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Easiest would be to a make a model of ML which can be scaled. A single computer running high specs will become outdated fast. If the model can be scaled then you can implement it on cloud compute.

For example a GPU based ML can be scaled on a P3 instance of Amazon EC2

A p3.16xlarge would mean 8 V100 GPUs each with 5120 cuda cores with on demand pricing of 24 dollars an hour.

A simple 1 V100 around 3 dollars an hour.

https://aws.amazon.com/ec2/instance-types/
 
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