KNC今日釋出訊息，晶片流片完成，將開始封裝

瑞典knc比特幣礦機公司今日釋出最新訊息，全文翻譯如下（彩雲位元lvl）：

大家好：

     你們等待我們更新晶片資訊已經很久了，今天我們可以告訴大家晶片流片已經結束，晶圓正在去封裝廠的路上。晶圓在封裝廠用幾天時間完成封裝，然後送到瑞典，我們會用盡可能快的途徑來完成運輸。

     然而運輸過程可能會變得很嚴峻，就像我們知道的那樣，現在對於比特幣挖礦來說時間就是一切，我們已經打破了一些速度記錄，希望計儘可能用最短的時間將產品投放市場。雖然形式嚴峻，但我們仍然在籌備本月開始發貨木星/土星。（譯者注：木星/土星是knc比特幣礦機型號）。

    我們會在這裡儘量第一時間更新我們的最新訊息，我們還會在本週放出一些在瑞典組裝廠拍攝的影片，礦機的一些小部件的組裝過程，我們將為晶片的到達做好所有準備，晶片一到就開足馬力生產

    我們也想借此機會告訴大家，在只有模擬結果的時候，我們一直保持沉默，但我們知道我們將能夠兌現我們的承諾。我們不會下降晶片算力，我們將釋放我們晶片的最大算力，所以傳言是真的，木星將大於400g/s,作為已經支付保證金客戶的一個免費的禮物，感謝所有我們的忠實客戶。

    當第一批晶片生產出來的時候，我們將在礦機裡全速執行它們，在我們推出的影片裡，可以讓大家看到我們到底可以使木星執行到多大的算力。

原文：

all,

you have all been waiting for an update on our chips and we can today announce that the fabrication process has finished and the wafers are on their way to the packing assembly house right now. they will be in the assembly house for a few days before they make their way to us in sweden  and of course via the fastest method possible.

 while it’s going to be a tight and we always knew it was. time to market is everything in this business after all. we have also broken a few speed records in this business to bring a design to market in the fastest time possible.  but we are still on track to have jupiter/saturn shipping this month.

 we will update this news site as often as we can with news. we will even have some videos this week from our swedish assembly factory as some of our smaller parts begin to be assembled ready for full production the minute the chips arrive.

 we would also like to take this opportunity to say that while we have remained as silent as possible on our simulations and only promised figures that we know we can meet. we will not down clock our chips to 400 we will release all our machines with the greatest hashing power we can. so yes the rumors are true jupiter will be greater than 400 by a significant margin as a free gift from us to all our loyal customers. the first chips off of the production line we will run at full speed in our launch video so you can all see exactly how fast we can make jupiter run.