{"id":23024,"date":"2026-06-02T12:59:45","date_gmt":"2026-06-02T19:59:45","guid":{"rendered":"https:\/\/dev.phison.com\/phison-collaborates-with-intel-to-bring-larger-local-ai-workloads-to-intel-ai-pc-platforms\/"},"modified":"2026-06-09T09:05:22","modified_gmt":"2026-06-09T16:05:22","slug":"phison-collaborates-with-intel-to-bring-larger-local-ai-workloads-to-intel-ai-pc-platforms","status":"publish","type":"post","link":"https:\/\/www.phison.com\/ja\/phison-collaborates-with-intel-to-bring-larger-local-ai-workloads-to-intel-ai-pc-platforms\/","title":{"rendered":"Phison Collaborates with Intel to Bring Larger Local AI Workloads to Intel AI PC Platforms"},"content":{"rendered":"

Phison’s Pascari aiDAPTIV\u2122 removes local memory constraints on client PCs,
\nenabling larger MoE AI models and agentic AI applications<\/em><\/p>\n

COMPUTEX, Taipei \u2014 June 2, 2026 \u2014 Phison Electronics (8299TT), a global leader in NAND flash controllers and storage solutions, today announced a collaboration with Intel to enable AI PCs to deploy larger, more capable AI applications locally. The collaboration combines Intel\u00ae Core\u2122 Ultra Series 3 processors with Phison\u2019s Pascari aiDAPTIV, a memory extension solution that unblocks memory-constrained systems to support larger Mixture-of-Experts (MoE) AI models, longer-running AI sessions and agentic AI workflows.<\/p>\n

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Today, AI PCs are moving beyond simple assistant applications toward more advanced local AI use cases. These solutions now support end users and businesses in document analysis, multi-step workflow execution and private data protection while reducing reliance on cloud-only AI services. As these workloads can require larger AI models, persistent session state and heavy reliance on memory, many users are looking toward the next generation of client systems with the required memory capacity to support them.<\/p>\n

aiDAPTIV addresses this challenge by extending effective AI working memory across system DRAM and high-performance, extreme-endurance NAND flash using Pascari aiDAPTIV Cache Memory. By reducing the DRAM required for certain local AI workloads and supporting runtime features such as KV cache reuse, aiDAPTIV helps larger AI workloads run locally on Intel AI PC platforms. In Phison testing, aiDAPTIV enabled a 26B-parameter model to run on a system with 16GB of DRAM, compared with 32GB of DRAM required without aiDAPTIV in the same test environment.1<\/sup><\/p>\n

The collaboration focuses on enabling Phison\u2019s technology on Intel AI PC platforms powered by Intel Core Ultra processors, including support for the OpenVINO toolkit. Together, Phison and Intel are working to support ISV evaluations, technical demonstrations and optimized workloads for public performance claims.<\/p>\n

\u201cAI PCs are evolving into platforms for more sophisticated local AI workloads, including agentic applications and larger MoE models that place increasing demands on memory capacity and responsiveness,\u201d said KS Pua, CEO and Founder at Phison Electronics. \u201cThrough our collaboration with Intel, aiDAPTIV helps expand the necessary memory available to AI workloads on Intel AI PC platforms, allowing OEMs, developers and end users to run more capable AI applications locally while maintaining privacy and infrastructure efficiency.\u201d<\/p>\n

At Computex, Phison will showcase aiDAPTIV-enabled demos on Intel AI PC platforms. Phison and Intel will demonstrate a local chat UI running a MoE AI model that would normally exceed available system memory, exhibiting how aiDAPTIV extends effective AI working memory using Pascari aiDAPTIV Cache Memory. Phison will also demonstrate a hybrid LLM routing application built on OpenClaw, an open-source AI agent framework, highlighting how larger MoE AI models can run locally with aiDAPTIV while reducing reliance on cloud token usage, with cloud routing available when needed for more complex requests.<\/p>\n

Phison’s booth will also feature demonstrations from AI software ecosystem partners – including Ollama, LLMWare, TurinTech, Intel\u00ae AI Superbuilder and Intel\u00ae AI Playground – showing aiDAPTIV in action across real-world local AI applications. The ecosystem showcase will also include hardware platform collaborations with ASUS, MSI, and Acer.<\/p>\n

“Memory is a limiting factor in running many of the most capable models on client hardware,\u201d said Michael Chiang, Co-founder at Ollama. \u201cPhison’s aiDAPTIV approach on Intel AI PC platforms could let people run far larger models locally than their hardware normally allows.”<\/p>\n

\u201cEnterprise GenAI is moving toward practical local workflows, including RAG, agents, and domain-specific models,\u201d said Darren Oberst, Co-founder and CTO at LLMWare. \u201cPhison\u2019s aiDAPTIV approach is promising because it can help Intel AI PC client systems support larger models and more capable local AI applications while keeping data closer to the user.\u201d<\/p>\n

“Working with Intel and Phison enables us to bring AI-driven code optimization into practical, on-device workflows, where performance, privacy, and cost discipline are critical,\u201d said Kee-Meng Tan, Chief Operating Officer at TurinTech AI. \u201cBy combining Artemis with Intel AI PCs and Phison\u2019s alternative memory approach, we can support larger and more capable local AI workloads without demanding ever-increasing system memory.”<\/p>\n

“More users and businesses want to run AI locally \u2014 faster, more private and without the cost of sending everything to the cloud,” said Jim Johnson, Senior Vice President and General Manager, Client Computing at Intel. \u201cOur collaboration with Phison enables Intel AI PC platforms to support larger local AI workloads with simpler memory configurations, so customers can turn their own data into useful applications and real business value at a lower total cost.”<\/p>\n

Come visit Phison at Computex, booth M0411a, 4F, Nangang Hall 1, to see aiDAPTIV in action. To schedule a meeting or demo, contact\u00a0sales@phison.com<\/a>.<\/p>\n

Disclaimer: Many of the products and features mentioned are still in development and will be made available as they are finalized. The timeline for their release is dependent on the ongoing development and market conditions and is subject to change.<\/p>\n

\u00a92026 Phison Electronics or its affiliates. All rights reserved.<\/p>\n

\u00a9Intel, the Intel logo and other Intel marks are trademarks of Intel Corporation or its subsidiaries.<\/p>\n

1<\/sup>Based on internal Phison validation using Gemma 4 26B A4B with aiDAPTIV middleware. Results were observed through aiDAPTIV middleware logging. Actual results may vary depending on software environment, model architecture, and quantization.<\/p>\n","protected":false},"excerpt":{"rendered":"

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