跳到主要內容

2024 Computex in Taiwan

 2024年Computex在台灣，今年跟往年最明顯的差異，就是以前都是標榜Intel Inside，現在都是標榜Nvidia Inside，各大Server Vendor都在展示GB200的機櫃，另外就是AI的應用；今年還有特別的科技業護國神物：乖乖，台灣的神秘力量。

Computex was held in Taiwan in 2024. The most obvious difference between this year and previous years is that it used to advertise Intel Inside, but now it advertises Nvidia Inside. All major server vendors are displaying GB200 cabinets and AI applications were shown everywhere. This year there are special technology industry’s protection myth: Guaiguai, AKA Taiwan’s mysterious power.
















留言

張貼留言

這個網誌中的熱門文章

用ADS存取電感的S2P檔

用ADS存取電感的S2P檔 1. 新建一個工作空間 2. 建立一個電路示意圖 3. 在Parts裡的Basic Components找到TermG以及SP，擺上圖示 4. 再從Data Items內找到S元件，擺上圖示 5. 雙擊SnP圖示，設定port數以及載入SnP檔路徑（這裡代入S2P檔，故設定port number = 2） 6. 點擊上方功能區的走線，將TermG以及SnP圖示連接起來。 7. 雙擊S-PARAMETERS以設定起始頻率、終止頻率及取樣間隔 8. 點擊上方模擬按鍵以進行模擬及偵錯 9. 使用左側Eqn圖示建立下圖的的電感及Q值的方程式 Use ADS to read SnP file 1. Create a new workspace 2. Create a schematic 3. Find TermG and SP in Basic Components from Parts and drag the icon to the blank space 4. Find the S component from Data Items and drag the icon to the proper position 5. Double-click the SnP icon, set the port number and the path to load the SnP file (Here load the S2P file, so set port number = 2) 6. Click on the wiring in the upper functional area to connect the TermG and SnP icons. 7. Double-click S-PARAMETERS to set the start frequency, stop frequency and sampling interval 8. Click the simulation button above to perform simulation and debugging 9. Use the "Eqn" diagram on the left to establish the equations for the ind...
張貼留言
閱讀完整內容

Use ADS to read SnP file

 使用ADS讀取SnP檔案 1. 新建一個工作空間 2. 建立一個電路示意圖 3. 在Parts裡的Basic Components找到TermG以及SP，擺上圖面 4. 再從Data Items內找到S元件，擺上圖面 5. 雙擊SnP圖示，設定port數以及載入SnP檔路徑（這裡代入S2P檔，故設定port number = 2） 6. 點擊上方功能區的走線，將TermG以及SnP圖示連接起來。 7. 雙擊S-PARAMETERS以設定起始頻率、終止頻率及取樣間隔 8. 點擊上方模擬按鍵以進行模擬及偵錯 9. 在新跑出來的視窗中點擊左側的Palette，選取方形圖示，點選S（1,1）, 選擇單位，即可跑出想要看的S（1,1）參數 10. 跑出來的圖形如下： Use ADS to read SnP file 1. Create a new workspace 2. Create a schematic 3. Find TermG and SP in Basic Components from Parts and drag the icon to the blank space 4. Find the S component from Data Items and drag the icon to the proper position 5. Double-click the SnP icon, set the port number and the path to load the SnP file (Here load the S2P file, so set port number = 2) 6. Click on the wiring in the upper functional area to connect the TermG and SnP icons. 7. Double-click S-PARAMETERS to set the start frequency, stop frequency and sampling interval 8. Click the simulation button above to perform simulation and debugging 9. In the newly opened window, ...
張貼留言
閱讀完整內容

談人工智慧晶片的4種類型

談人工智慧晶片的4種類型 傳統伺服器與AI伺服器的差別在於： 1. 傳統伺服器透過CPU做為主要的運算， 2. AI伺服器除了使用CPU外，還使用GPU、FPGA、ASIC來加速運算。 一般來說，傳統伺服器價格較低，約1500~3000 美元；而AI伺服器價格較高，如AI推論伺服器落在3000~20000美元；而AI訓練伺服器約落在15~30萬美元。 以下簡介各種伺服器晶片的差別： 1. CPU (Central Processing Unit): 以執行複雜指令集為目的，處理重複性高的類神經運算。 2. GPU (Graphics Processing Unit): 擅長浮點數及平行運算，適用於AI深度學習。 3. FPGA (Field Programmable Gate Array): 可依需求調整硬體配置，具備演算法靈活性。 4. ASIC (Application Specific Integrated Circuit): 能針對特定應用最佳化算效能、降低功耗、縮小體積。 4 Types of AI Chip  The difference between traditional servers and AI servers is: 1. Traditional servers use the CPU as the main operations. 2. E xcept for the CPU,  AI ​​servers also use GPU, FPGA, and ASIC to accelerate operations. Generally speaking, the price of traditional servers is lower, about 1,500 to 3,000 USD; while the price of AI servers is higher, such as AI inference servers is about 3,000 to 20,000 USD; and AI training servers is about 150,000 to 300,000 USD.  The following is the introduction to the differences betw...
張貼留言
閱讀完整內容