2023年7月11日

創始人兼首席分析師Cambrian-AI Research LLC得到它!節奏收購未來設施在2022年打開門的大型數據中心,並提供該公司的能力來管理數據中心電力和冷卻時最需要幫助AI激增。假設您正在運行一個數據中心,滿架的cpu、存儲和網絡都為web服務和數據庫設計實例。到了ChatGPT,突然你需要計劃來支持服務器消耗4-16乘以你現在可以處理。數據中心業主長期以來使用計算流體動力學軟件模型氣流和冷卻要求,但現在這些工具已經過時。他們可以模型一個固定的場景,但難以處理今天的動態需求。運營商所需要的是一個工具,可以模擬各種硬件和工作負載場景潮起潮落。他們需要一個數字的雙胞胎。這就是未來的設施,隨著數字雙每個設備的數據中心,到哪個服務器和gpu可能被認為與冷卻裝置在一個特定的數據中心。未來設施軟件能做什麼呢? Acquired by Cadence Design in 2022, Future Facilities electronics cooling analysis and energy performance optimization can help data centers build a comprehensive digital twin of their data center. Using the twin, data center owners and operators can model unlimited options for equipment selection and placement, allowing them to optimize potential service revenue given the constraints and constantly changing hardware contents inside. Even more astounding is that the twin can model the impact of changing workloads over time, factoring in the changing energy consumption and cooling requirements as workloads ebb and flow. The company’s products use physics-based 3D digital twins enabling leading technology companies to make informed business decisions about data center design, operations and lifecycle management and reduce their carbon footprint. The performance of any data center is a complex combination of capacity utilization, risk management and energy efficiency. Due to the fragmentation the performance of the data center will not only vary throughout its operational life cycle, but will also introduce new risks and uncertainty and will inevitably decline. MORE FOR YOU Cadence The DataCenter Digital Twin is s science-based platform that quantifies the throughput at any point in time, past, present and most importantly the future. Business requirements change the dynamics of the data center, and these requirements and changes are random but they will all affect the performance. Hence it is necessary to predict the effects of these changes prior to physical implementation; the digital twin gives the operators the visibility they need to anticipate the impact of hardware and workload dynamics over time. The Digital Data Center Twin Key to the operation and flexibility of the Twin is the creation and use of Digital Ecosystem Libraries, describing the physics for each type of data center component. Want more GPUs? Model it. Want a faster network? Model it. When combined with the detailed descriptions of IT equipment and data center design, these libraries act like lego building blocks and allow scenarios to be accurately modeled. The DataCenter Digital Twin is based on a simulation of the IT Equipment, DataCenter Design and ... [+] libraries of Digital Ecosystems Cadence Conclusions While it may take 18 months to design a Datacenter, and select the IT Infrastructure it will contain, a data center owner and operator needs to plan for operations that may last 240 months, with frequent incremental operational and equipment changes necessitating recalibration and modeling of the power, cooling, and workload flow over time. All these changes can be modeled on a digital twin, helping the owner/operator plan for successful operations and ensuring ongoing profitability. When you think about it, it is hard to imagine getting the job done without a digital twin. If you are interested, check out these case studies the company has provided: