DDN, a global expert in artificial intelligence (AI) and multi-cloud data management solutions, announced that it sold more AI storage appliances in the first four months of 2023 than it sold in all of 2022 .
Widespread enthusiasm for the business opportunities presented by generative AI has led to a steady increase in investment in AI and AI infrastructure, the company said.
According to DDN, language-based AI applications such as ChatGPT have received a lot of attention, but there are many other AI use cases that are on the verge of major breakthroughs.
Hyper-realistic 3D and immersive universes in games, creation of sophisticated new proteins and molecules for drug discovery, self-driving cars, and space exploration all require large-scale data processing to drive innovation. This is just one example.
Dr. James Coomer, senior vice president of DDN Products, commented: DDN is the solution of choice for thousands of deployments at organizations like NASA, University of Florida, Naver, and more. ”
Massive data sets, curated from a variety of data sources, are at the heart of generative AI and machine learning applications, whether in gaming, autonomous driving, or natural language processing. However, to work well, it requires extremely high levels of write and read data performance, extreme scale of cost-effective data capacity, flexible delivery on-premises and in the cloud, and highest efficiency and lowest consumption. Power required.
David Hall, Head of HPC at DDN customer and solution partner Lambda, said: “Teams are rapidly moving towards leveraging generative AI and need a high performance and scalable data platform to succeed. We are helping our customers do just that with flexible AI deployments in the cloud, on-premises, or in colocated data centers.”
DDN built AI400X2 appliances in on-premises data centers and in the cloud specifically for these enterprise AI applications. It delivers up to exabytes/second of data at terabytes/second with sustained write and read performance, and delivers 33 times greater efficiency than traditional storage systems at a fraction of the power requirement, the company says.
Generative AI applications that produce human-like text and digital image generators are getting a lot of attention, but pharmaceutical design, materials science, chip design and industrial manufacturing are all set to benefit from the technology, according to DDN. .
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