80-Core Monster

DerBauer dropped a bomb on YouTube. Amazing looking ARM CPU with 80 cores that thrashes Threadripper by 10,000+ points in Geekbench.

Willing to live without x86 in your life? Have I got a deal for you. :slightly_smiling_face:

DerBauer - 80 core ARM CPU

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Went through media like a month ago. Nothing special really. More cores more better for the stuff the CPU is designed for. Won’t run any games or Windows and can’t be bought on Newegg, so pretty much the same as Top500 supercomputer news as far as consumers are concerned.

As I slowly move away from all things Windows, I’m finding Redmond imposed limitations have much less impact in my life. :crazy_face:

Certainly an efficiency brute, granted the programs being written for ARM

[Apple frothing in anger]

I heard the power/heat is on par with EPYC/Xeons. These are ARM-Servers, not iPhones or RPi

There’s a developer platform that comes in a normal case on a E-ATX. Ampere Altra Developer Platform | COM-HPC Server Carrier and Starter Kit | ADLINK

Indeed so… Figure that typical 250W TDP, over 80/128 cores!?
Also, this is under 7nm [not the 5nm or smaller nodes]

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Next gen EPYC is rumoured to have 96 and eventually 128 core chips. That was communicated way back, like last Spring, maybe even earlier?

A modern 64 core Epyc (7713) beats the 80 core Ampere by 6% (47053 vs 44425) in geekbench 5 multi core while using 7% more power (225w vs 210w), albeit the Epyc CPU came out ~9 months after the Ampere CPU… not very impressed with ARM “efficiency” here. This isn’t exactly a fair comparison because AMD is on N7+ while Ampere is on N7.

I suppose a better comparison would be an older Rome Epyc 7702 that predates the Ampere CPU by 10 months because they are on the same N7 node to compare efficiency although the Epyc has a 14nm IO die which skews the results in ARMs favor if we truly want to compare core efficiency. The 7702 Epyc loses by 11% (39583 vs 44425) in GB5 performance and uses 5% less energy (200 vs 210).

Considering that it is more difficult from a power budget perspective to make few cores as fast as many slower cores in a highly parallelized workload, I’m more impressed with x86 than ARM here.

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