(PR) ADATA TRUSTA AI Scaler Extended Memory Solution Breaks GPU Limits
TRUSTA, the enterprise storage brand of memory leader ADATA Technology Co., today will officially launch the TRUSTA AI Scaler Extended Memory Solution. As an industry pioneer, TRUSTA introduces the AI Scaler Toolkit as the core of the solution, extending AI model deployment beyond GPU-only architectures to system memory and high-speed SSDs. This software-hardware integrated solution helps enterprises overcome GPU memory limitations and reduce AI deployment costs by more than 50% in model inference and fine-tuning scenarios.
The launch also marks ADATA's evolution from a memory and storage brand into a software-hardware integrated solution provider, reinforcing its commitment to building more efficient, scalable, and flexible on-premises AI infrastructure for global enterprises. Research firms project AI infrastructure to grow at a CAGR of approximately 26% through 2034, while more AI deployment are moving beyond cloud services and into a new phase of enterprise-built and edge deployment. As organizations build out AI infrastructure, factors such as data privacy, regulatory compliance, cost controllability, and data gravity have led TRUSTA to introduce a new concept: how to establish a more economical and scalable memory configuration across GPU, DRAM, and SSD, on-premises.
The launch also marks ADATA's evolution from a memory and storage brand into a software-hardware integrated solution provider, reinforcing its commitment to building more efficient, scalable, and flexible on-premises AI infrastructure for global enterprises. Research firms project AI infrastructure to grow at a CAGR of approximately 26% through 2034, while more AI deployment are moving beyond cloud services and into a new phase of enterprise-built and edge deployment. As organizations build out AI infrastructure, factors such as data privacy, regulatory compliance, cost controllability, and data gravity have led TRUSTA to introduce a new concept: how to establish a more economical and scalable memory configuration across GPU, DRAM, and SSD, on-premises.
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