Regarding the construction of AI-ready, many companies are like lost lambs and cannot find their way! After all, all kinds of information are flying everywhere now. Why do we have to build AI-ready network infrastructure? How can we build it? These problems are like a mess, which makes many people feel very troubled. Simply put, AI-ready is the kind of network architecture system that can provide a stable, efficient and secure operating environment support for artificial intelligence applications, especially AI models that require extremely large amounts of data processing, ultra-high computing speed and ultra-low latency response! It is not comparable to ordinary traditional networks. It is like a super powerful engine, silently supporting the rapid operation of AI applications behind it.
1. High bandwidth support module 📡 : When AI model trains or processes massive business data, the data transmission volume is simply astronomical! Nowadays, when the office network of general enterprises is exhausted, it only has gigabit bandwidth. For AI applications, it is like a small water pipe hitting a big torrent – far from enough! Therefore, the AI-ready network infrastructure must be put into a strong solution in terms of bandwidth! It is reasonable to upgrade to 10 Gigabit Ethernet, or even 25G and 100G high-speed links, so as to ensure that data can run quickly between various nodes, such as between servers and servers, and between servers and storage devices, without dragging and slowing down the processing speed of the entire AI application due to insufficient. Provide global procurement services for weak current intelligent products!
2. Low-latency guarantee module⏱️ : Take driverless cars as an example. Its AI system judges the road conditions and reacts, and it only takes a little time in total. If the network delay is too long, the consequences will be unimaginable! Millisecond delays can lead to disaster! Therefore, the AI-ready network must find ways to minimize the delay in data transmission. How to do it specifically? Advanced network technology like SRv6 (IPv6) can be used to directly plan the optimal data transmission path; in addition, the hardware acceleration function of network equipment, such as dedicated ASIC chips, can handle packet forwarding tasks, so that the processing speed can be much faster.
3. Network virtualization and elastic expansion module 🧩 : Traditional network equipment configurations are complex and rigid. It is very troublesome to add a port and adjust a strategy, and it takes a long time! The demand for computing power and network resources of AI is like children's faces. It is really changeable, sometimes high and sometimes low. Sometimes it requires a lot of resources to be called at once, and sometimes it may only require a little bit. Then the AI-ready network infrastructure must have the ability to virtualize networks. The most typical example is SDN (software-defined network) technology, which can use software to flexibly define and manage networks. This way, how many network resources are needed, anytime, anywhere, with a gentle movement of your fingers – you can dynamically allocate and adjust it, just like Sun Wukong's golden cudgel, which can be stretched or retracted easily. In this way, no matter what changes in the demands of AI applications, the network can change accordingly.
4. Intelligent management operation and maintenance module 🤖 : If a high-level network like AI-ready is still manually configured and troubleshooting as before… it would be unimaginable! Many people will be exhausted! Therefore, it has to be a little smart, that is, management, operation and maintenance must be "intelligent". By deploying an AI-driven network monitoring and analysis system, the system can keep the system focused on the operating status of the network at all times. For example, whether there are any data packets lost, whether the network is blocked, or whether there are signs of being attacked by bad people can be monitored automatically, just as comprehensive as the inspection items we usually do when we go to the hospital for physical examination! Then predict in advance and automatically (or assist in manual rapid) troubleshooting, so that the network can always work stably and protect AI applications!
• Q: Can the ordinary network used by enterprises be slightly modified and become an AI-ready network?
Answer: This depends on the specific situation. If the current network foundation of the enterprise itself is pretty good and the equipment is not too old, it may be possible to meet some simple AI application needs through partial upgrades, such as changing the core switch, increasing some bandwidth capacity, and enabling some network optimization functions. But if you really want to run a network with large and complex AI models… you must overturn the start or make a large-scale transformation according to the AI-ready standards! The modification that is easy to skim and playful is basically useless and cannot meet the requirements at all. So, the bosses have to think carefully about this issue
• Q: Will the network transformation of more than 10,000 Gigabits be particularly expensive and so high that it is scary?
Answer: In terms of cost, the hardware equipment you have to invest at the beginning is indeed much better than building a gigabit network. For example, when we buy a car, a regular swivel and a high-end sports car, the price must be from the sky and the ground… 10,000 Gigabit switches and high-speed optical modules are not cheap! . However, thinking about it on the other hand, if companies have long planned to rely on AI technology to develop their businesses, then investment in this construction will definitely be done sooner or later. You can also pay in installments and take your time, for example, first upgrade and transform the network of the core key parts to ensure that it can be used. Other parts that are not that important, or AI has not used in the near future, and it is OK to upgrade step by step in the future (you can share the initial expenses).
With the rapid development of artificial intelligence, one footprint a day is so fast that people can't react… Network infrastructure is like the "root system" that supports the artificial intelligence tree. We know that whether the tree has vitality depends entirely on whether the root system is strong depends on whether it can provide nutrients and moisture. A well-designed network infrastructure that can meet the requirements of AI applications can allow enterprises to take a faster and more stable step in the wave of AI competition. I think the first thing a company is to do is to make the Internet a "stumbling block" solid and smooth. It is absolutely right to do practical things without thinking too much else…
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