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.
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 decrease the time to first token, which is the time it takes to produce the first word of a response.
