The AMD Threadripper Pro arrives, with a beastly top of the range of 64 cores and 128 threads that costs $ 5,490
Those looking for maximum performance in tasks that can take advantage of maximum parallelism are in luck, because AMD just announced that its family of processors AMD Threadripper Pro is now available in stores.
The maximum exponent of this family is the spectacular AMD Threadripper Pro 3995WX con 64 núcleos and 128 threads of execution, which has a native frequency of 2.7 GHz but can reach 4.2 GHz. Its price, yes, is as scary as that power: costs $ 5,490.
Processors for ambitious workstations
There are some important differences between these Threadripper Pro and the conventional Threadripper. First of all, these models have eight memory channels instead of four.
They also have support for up to 128 PCIe 4.0 lanes and support for up to 2 TB of ECC RAM per processor. That, together with the specialized tools for managing their benefits, means that we are facing chips that are almost closer to the EPYC oriented to workstations than to the Threadripper for the same scenario.
Although the family consists of four models, AMD will make the three most powerful available to the general public: los Threadripper Pro 3955WX, 3975WX y 3995WX.
As seen in the table made por AnandTech, el espectacular Threadripper Pro 3995WX almost competes with the EPYC in many sections, although the latter exceeds the maximum memory available per processor, which is double that of this family.
Obviously accessing these benefits has a price: they are ambitious processors with an equally ambitious price, which in the case of its maximum exponent, the aforementioned Threadripper Pro 3995WX, amounts to $ 5,490.
This price difference is noticeable compared to the “normal” Threadripper with similar configuration: los Threadripper 3990X They also have 64 cores and 128 threads and even squeeze the frequencies a little more, but precisely they are more limited in PCIe 4.0 lanes and in the maximum available RAM memory (which is also not ECC), something important in high-performance computing fields and in the fields in which these new models want to move.
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