Phison demos 10X faster AI inference on consumer PCs with software and hardware combo that enables 3x larger AI models — Nvidia, AMD, MSI, and Acer systems demo

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Phison demos 10X faster AI inference on consumer PCs with software and hardware combo that enables 3x larger AI models — Nvidia, AMD, MSI, and Acer systems demo

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(Image credit: Phison) Share Share by: Copy link Facebook X Whatsapp Reddit Flipboard Share this article Join the conversation Follow us Add us as a preferred source on Google At CES 2026, Phison demonstrated consumer PCs with its aiDAPTIV+ software/hardware combo running AI inference up to ten times faster than without its specialized suite of technologies. When Phison introduced its aiDAPTIV+ technology in mid-2024, it essentially transformed NAND memory into a managed memory tier alongside DRAM to enable large AI models to train or run on systems that did not have enough DDR5 and/or HBM memory, but at the time, it was merely a proof-of-concept aimed at enterprises. By early 2026, the positioning of the technology has changed, and now Phison sees it as an enabler of AI inference models on client PCs, which broadly increases the use-case. So,

Normally, when tokens no longer fit into the GPU's key-value (KV) cache during inference, older KV entries are evicted, so if/when the model needs those tokens again (in cases of long context or agent loops), the GPU must recompute them from scratch, which makes AI inference inefficient on systems with limited memory capacity. However, with a system equipped with Phison's aiDAPTIV+ stack, tokens that no longer fit into the GPU's KV cache are written to flash and retained for future reuse, which can reduce memory requirements in many cases and dramatically increase the time to first token, which is the time it takes to produce the first word of a response.

The renewed focus of Phison's aiDAPTIV+ platform is designed to let ordinary PCs with entry-level or even integrated GPUs handle far larger AI models than their installed DRAM would normally permit. Bringing large-model inference and limited training to desktops and notebooks may be valuable for developers and small businesses that cannot afford to make big investments in AI at the moment, so Phison has a list of aiDAPTIV+ testing partners with systems featuring the technology at CES 2026, such as Acer, Asus, Corsair, Emdoor, MSI, and even Nvidia. For example, Acer has managed to run an gpt-oss-120b model on an Acer laptop with just 32GB of memory, which opens doors to a number of applications.

SK hynix unveils AI NAND strategy, including gargantuan petabyte-class QLC SSDs — ultra-fast HBF and 100M IOPS SSDs also in the pipeline

Deepseek research touts memory breakthrough, decoupling compute power and RAM pools to bypass GPU constraints

Phison's new SSD controller sips a mere 2.3W and runs at 14.7 GB/s, addressing PCIe 5.0's power concerns

(Image credit: Tom's Hardware) (Image credit: Tom's Hardware) (Image credit: Tom's Hardware) (Image credit: Tom's Hardware) (Image credit: Tom's Hardware) (Image credit: Tom's Hardware) (Image credit: Tom's Hardware) (Image credit: Tom's Hardware) (Image credit: Tom's Hardware) (Image credit: Tom's Hardware) According to Phison's internal testing, aiDAPTIV+ can accelerate inference response times by up to 10 times, as well as reduce power consumption and improve Time to First Token on notebook PCs. Obviously, the larger the model and the longer the context, the higher the gain, so the technology is especially relevant for Mixture of Experts models and agentic AI workloads. Phison claims that a 120-billion-parameter MoE model can be handled with 32 GB of DRAM, compared with roughly 96 GB required by conventional approaches, because inactive parameters are kept in flash rather than resident in main memory.

Given that Phison's aiDAPTIV+ stack involves an AI-aware SSD (or SSDs) based on an advanced controller from Phison, special firmware, and software, the implementation of the technology should be pretty straightforward. This is important for PC makers, value-added resellers, and small businesses interested in using this capability, so it is reasonable to expect a number of them to actually use this technology with their premium models aimed at developers and power users. For Phison, this means usage of their controllers as well as added revenue from selling the aiDAPTIV+ stack to partners.

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