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Best Hardware For Machine Learning

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Posted By: Joseph | 1 Replies | Last Reply On: Mar 09, 2022 13:45:55

What is the best hardware for machine learning?  I see a lot of options but need help. 

Psychz - Rahul

Votes: 0Posted On: Mar 09, 2022 13:45:55
 

We recommend our bare metal servers with Intel Xeon Dual Silver 4216 processors. Xeon processors are qualified to handle heavier, more intensive loads day in and day out. This can translate to better longevity for the serious workstation user over i7 counterparts. If your applications require as many CPU cores as possible, Xeon is what you need. The new Xeon v4 processors max out at 18 cores (36 after Hyperthreading), whereas even the new Broadwell-E i7-6950X has just ten. Multi-CPU configurations are also only possible with Xeon, featured in our HD360MAX workstation.

Intel XEON has a 1MB L2 cache that's 16-way associative but has higher (13 cycles) latency. Less L3 cache is integrated per core (1.375MB), the cache is 11-way set associative instead of 16-way, it has a 77 cycle latency (up from 44), and it's a non-inclusive cache. Intel's use of very large L3 caches in previous Broadwell and Skylake-S chips mitigated this issue by providing a large absolute amount of cache space. So if you are into Deep learning/Machine learning, which involves high-end processing units, Xeon processors can prove just the right thing for you.

To check the available dedicated server options, please use our live inventory. Using our advanced filter option, you can narrow down your search based on location, memory, processor, etc. Use the following link https://www.psychz.net/dashboard/client/web/order/dedicated-server

You can also get in touch with our sales team to help you choose the exemplary service that suits your requirement. Please write to us at sales@psychz.net or call 1-800-933-1517.

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