"Artificial intelligence is fundamentally changing our lives and work, and a new stage in the development of artificial intelligence, that is, the era of data-driven AI, has arrived."
This passage comes from Lu Daxin, CEO of Lenovo Lingtuo, who believes that the ubiquitous artificial intelligence has created a new demand for data applications, and he also said: "Data is the most critical element of the artificial intelligence system. This is also a new concept proposed by Lenovo Lingtuo at the 2024 Technology Conference - "Data is AI", the data defined by Lenovo Lingtuo also has multiple dimensions, no matter from positioning, from products, long-term development and other levels, Lenovo Lingtuo has its own answer.
The application of large models has entered a new era, and it is more necessary to give full play to the value of data
In the keynote speech on the day of the conference, Lu Daxin repeatedly mentioned the vigorous development of artificial intelligence, especially the application of large models, whether it is the strong promotion of 12 relevant policies at the national level since 2017, or the "three-dimensional engine strategy to help customers AI ready" proposed by Lenovo Lingtuo at the company level, which means that artificial intelligence is indispensable, as Lu Daxin said: "Lenovo Lingtuo will help customers AI ready, through technology development, customer success and ecology-driven three-dimensional engine." This dynamic drives the continuous development and iteration of technologies and products, and constitutes the technological development engine of Lenovo Lingtuo. ”
There are more and more companies like Lenovo Lingtuo that are embracing AI development and large-scale model applications. With the deepening of the application of AIGC, the entire industry has a strong demand for computing power, but just as the three elements of AI cannot lack the key link of data, AIGC certainly needs a lot of computing power support, but without data analysis, everything is useless. In this regard, Lu Daxin pointed out sharply: "How to store data, how to manage, how to ensure the security of data, these are all a rigid need in the follow-up construction."
Indeed, with the development of applications, the demand for AIGC has gradually shifted to the storage level, and even poses a series of challenges to future storage applications. First of all, large models usually require a large amount of data for training, which means that high-capacity and high-performance storage systems are required to store and process this data, which is what Lenovo Lingtuo is good at. Second, in the face of massive data, both training and inference require high-speed storage solutions to achieve fast data access and processing. Finally, storing large amounts of sensitive data requires high standards of security and privacy protection, and how to achieve effective backup and recovery of data, especially to ensure data consistency and availability.
In other words, in addition to the computing power issues that the industry is currently concerned about, the application of storage power will also affect the AIGC application itself, and even data security and stability are related to the future development of enterprises, and in order to achieve effective data management, this not only requires strong solution support, but also needs proper cost control and optimization. To this end, Lenovo Lingtuo proposed "data is AI", the essence of which is to make data better valuable through AI applications.
When we propose 'data is AI', we still have to focus on our own core capabilities. On the whole, both the previous reasoning and all the current AIGC are based on data, and without data, there is no way to generate it. In addition to the liquidity of data, data security is another focus. When we talk about data as AI, we are more about grasping our core competitiveness," Lu Daxin said.
Released a variety of "storage power" solutions to enable enterprises to navigate the AI era with ease
Based on the above industry cognition, at this technical conference, Lenovo Lingtuo announced the launch of NetApp AFF C series, NetApp ASA A series, NetApp ASA C series, Lenovo ThinkSystem DG series, Lenovo Thinksystem DM3010H enterprise storage array and MagnaScale data management platform V40 comprehensive upgrade, making enterprise applications simpler, more economical, more secure and sustainable, and helping enterprises achieve a breakthrough in the AI era and an AI-ready future.
For example, NetAppAff C-series storage products are a new high-capacity flash memory solution, consisting of AFF C250, AFF C400 and AFF C800. The biggest feature of this series is the use of next-generation SSDs, which can achieve effective cost control and performance, and can achieve unified data management, reduce total cost of ownership (TCO) and save storage space.
We can have more capacity, better performance, better energy saving, 'carbon neutrality' and so on. These parts can even replace traditional mechanical hard drives in the future, which is basically a precedent for us", when talking about the advantages of the new product, Lin Yousheng, senior director of product management and marketing at Lenovo Lingtuo, said.
The newly announced NetApp ASA Series A reinforces the software-defined nature of the software-defined nature of the modern SAN infrastructure while maintaining availability and efficiency, resulting in cost savings and best-in-class sustainability. Thanks to NetApp's innovative SAN technologies, NVMe FC and NVMe TCP, system latency can be reduced to 100 microseconds. At the same time, for the future hybrid multi-cloud environment needs and NetApp ransomware recovery assurance, it also has excellent performance in future scalability and security, for these products, Lin Yousheng is also full of confidence: "Our minimum capacity is a single SSD 15TB, and we will launch a 30TB SSD ....... in the future."This gives 1With an all-flash capacity of 5PB, it can provide fast high performance and large capacity, reduce energy consumption by 85%, and reduce the footprint by 95%. ”
Magnascale Data Management Platform v4The new upgrade of 0 is also a highlight of this product release. Compared with the previous version, Magnascale Data Management Platform v40 Implements the strategic idea of data fabric, allows data to flow, realizes intelligent layering based on data heat within the platform, and realizes one-click cloud and cloud migration externally, realizes the full life cycle management of internal and external data centers, empowers enterprises with more flexible, efficient and intelligent data management, and helps enterprises achieve data-driven business growth. As Lin emphasized, "Hundreds of medium and large customers have already used Magnascale Data Management Platform for data management."
From hardware to software, from hybrid flash to all-flash, from intelligent to green and low-carbon, Lenovo Lingtuo shows us not just one or several data storage solutions, but combines the general trend of AI industry development to provide perfect infrastructure, software application and sustainable development strategy. This is exactly what Lin Yousheng emphasized: "In the face of massive data computing, if we just blindly talk about faster data access and larger data capacity, there is no way to continue development." Energy saving and green are also very important keys to our sustainable development."
Innovation breakthroughs in four major industries, Lenovo Lingtuo makes smart applications quickly landed
Many of the new products we just mentioned can be seen in the exhibition area of the conference that day, of course, what has attracted more attention from the public is the four major solutions of intelligent manufacturing, smart medical care, intelligent transportation and smart finance, which are also closely related to public life. For example, in response to the public's concern about smart medical problems, Lenovo Lingtuo brought the "Emergency 1110" solution on the spot - the meaning of this number is 1 minute full data backup, 1 minute full data recovery, 10 minutes of business continuity guarantee and data security guarantee for single application disaster recovery.
Medical applications have always been a problem in the industry, especially the effective storage and safe utilization of data, which has caused headaches for many storage service providers. This time, thanks to the core ONTAP technology, the system can support the storage system of file, object, and block access services at the same time, realizing unified management of different data types. In this way, different kinds of medical data such as images and reports can be read and written, and Lenovo Lingtuo has also carried out joint testing tests based on first-line applications with many partners, and obtained relevant industry certifications, which also highlights Lenovo Lingtuo's strong ability in the medical industry.
The intelligent manufacturing booth also attracted the attention of many participants, here Lenovo Lingtuo demonstrated in detail the key role of ONTAP and LenovoThinkSyTem DXN software-defined distributed storage in supporting intelligent manufacturing by demonstrating industrial intelligent quality inspection software, and also let more people understand how imaging technology is combined with storage power, and how to create innovative applications of intelligent manufacturing for enterprises. Behind this is the efficient data processing capability - "there is a large amount of unstructured data, which requires many different management capabilities, including data management, replication and other related functions," said Lin Yousheng.
At the same time, intelligent manufacturing also has strict requirements for the real-time nature of data processing, which also requires strong data processing capabilities and accurate algorithm collocation, because the production work of many assembly lines cannot tolerate a little mistake, let alone stop and wait, so real-time processing data has become a "hard indicator" of the intelligent manufacturing industry, and Lenovo Lingtuo can meet this demand. As Lin Yousheng said when talking about AI applications: "AI needs massive data and high-speed computing and processing ......Without an infrastructure for simple and efficient data management, the entire system cannot function efficiently. ”
Today, artificial intelligence has become a topic of concern for the whole society, and whether it is a large model or other AI applications, the core of it is data processing, which is also one of the most basic and important links. Looking at the industrial development in 2024 and beyond, the "integration of storage and computing" is still a continuous application form for the entire industry, so the liquidity industry that realizes the linkage of storage and computing and releases resources has become a solid foundation for data-driven AI applications.
As Lu Daxin said in his keynote speech: "The computing power and technology of artificial intelligence are actually a close combination, based on container technology, the overall scheduling of storage and computing resources can be realized, which can help the application of artificial intelligence to plug in flexible wings, so the linkage of storage and computing will be a very important development direction for the deployment of artificial intelligence applications." ”