AI’s Capacity Revolution: What Lies Beyond the Horizon?
Which capacity advancements will AI bring about?Working in storage is exciting right now In the IT sector, a seismic shift is about to occur
When ChatGPT first appeared earlier this year, people’s expectations were sparked by the idea that a machine could comprehend questions we ask in natural language, have a discussion with us about any topic
The need for a greater capacity memory footprint on the CPU is being driven by large language models (LLM) in order to handle progressively larger and more complicated models
What part does storage play, and how important is it in AI workloads?
A high-performance SSD is used due to the performance requirements The storage of all training datasets in huge data lakes is another essential function of storage
Graph Neural Networks (GNN) are widely employed in fraud detection, network intrusion, and deep learning recommendation models (DLRM) for product suggestion
How may AI impact the market for NAND flash storage?First, data is needed for every new AI/ML model to “learn” from during training