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Auction: AMD EPYC 7773X Processor for Data Center Virtualization

Remaining time

--:--:--

Current price

0,00€ 1,00€

0,06€

The user kelley29 is winning the auction.
Latest bids
kelley29
0,06€
zmoreau
0,05€
Anitahendricks
0,04€
Auction info

Product value

Savings

Daxdi coins value

21.200,00€

21.199,94€

4

The user kelley29 is winning the auction.
Daxdi assistant

Auction information

  • Current price

    0,06€

  • Product value

    21.200,00€

  • Auction ID

    205907

  • Auction type

    Public auction

  • Bid value

    4 Daxdi coins

  • Initial price

    0,00€

Statistics of the last 15 days

  • Average number of participants

    0 users

  • Average amount of bids done by the winners

    0 Daxdi coins

  • Average published times in a week

    0.27 times

  • Average final price

    11,93€

  • Average savings of the winners

    21.199,73€

  • Average spending by winners

    0,00€

Latest winners

  • ozellahauck

    0.90€

    2026-03-10 02:38:02

  • brittaolsson

    22.95€

    2026-03-10 01:13:02

  • ozellahauck

    0.90€

    2026-03-10 02:38:02

  • brittaolsson

    22.95€

    2026-03-10 01:13:02

Shipping

The product will be shipped within a maximum of 24 hours once you have won and paid for the auction.

The auctioned product is available to be exchanged for its cash value

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Buy product

You can buy this product in any moment, if you have placed bids in this auction the bids value will be deducted from the product final price.

AMD EPYC 7773X Processor for Data Center Virtualization

AMD EPYC 7773X is a 64-core, 128-thread processor at 2.20 GHz, designed to maximize performance in enterprise infrastructures and demanding virtualization environments.

Its ability to handle large data volumes makes it ideal for data centers and critical applications.

It includes advanced thermal management that ensures stability and overload protection, plus VT-x with EPT support that optimizes virtualized workloads.

Balancing power and efficiency, it offers reliability and scalability for massive tasks.

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