StorONE Expansion of Strategic Partnership with Phison to Launch AI-Native Intelligent On-Premises Storage Platform

StorONE, Inc. announced  an expansion of its strategic partnership with Phison Electronics Corp.

This further engagement builds upon their prior collaboration on high performance, high density storage to now deliver AI-native intelligent, on-premises storage platforms that combine Phison’s aiDAPTIV+ memory extension technology with StorONE’s storage platform.

The partnership between the 2 companies aims to empower enterprises and research teams to train and deploy large language models (LLMs) on-premises, using secure, high-throughput storage enhanced with conversational AI interfaces for simple management and optimization.

The joint solution will be available in Q2 2025, offering customers a transformative combination of high-speed, scalable storage and AI embedding acceleration that supports LLM training at scale.

“At StorONE, we have always believed in making a storage platform not just fast and affordable, but intelligent,” said Gal Naor, CEO, StorONE. “By combining our enterprise storage platform with Phison’s aiDAPTIV+, we are enabling AI infrastructure that’s not just smarter, but more accessible.”

Phison’s aiDAPTIV+ technology expands the available memory for LLM training by extending GPU VRAM with Phison SSDs used as flash memory, enabling cost-effective training of models exceeding billions of parameters – without the need for massive numbers of data center GPUs. When paired with StorONE’s performance optimized architecture, organizations gain an edge in AI development, privacy-preserving data management, and low-latency inferencing.

“Phison is committed to democratizing AI performance – and our partnership with StorONE expands that vision at scale,” said Michael Wu, president, Phison-US. “Together, we’re giving customers a powerful way to accelerate their AI ambitions with secure, intelligent on-premises infrastructure.”

The upcoming platform will also feature an AI-powered chatbot interface for interacting with storage resources via natural language, allowing administrators and developers to query system status, troubleshoot bottlenecks, and optimize workflows with unprecedented ease.

This collaboration marks a new phase in AI infrastructure – one where storage is no longer a passive repository, but a proactive, intelligent ally in every organization’s AI journey. 

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