
Announced at CES 2026, Ugreen’s new iDX6011 and iDX6011 Pro can run Local Large Language Model (LLM) on the NAS, combining an Intel Core Ultra chip with on-device search, photo tagging, and transcription of private workflows.
This specification marks a move towards offline data processing, essentially creating a NAS that handles AI tasks locally.
This is a big deal since Ugreen was one of the first brands to expand the capabilities of their NAS beyond simple storage. The system offers natural language search, an on-device chat assistant called Uliya, automatic classification of photos, and transcription of voice notes. These features enhance data privacy by processing data locally instead of on cloud servers.
The company previously announced a similar AI NAS concept, but this iteration features updated hardware and expanded functionality. It’s essentially a local version of Google Photos and Google Drive, and Big G doesn’t collect tons of data for marketing purposes.
In terms of specs, the iDX6011 is powered by Intel Core Ultra 5 125H, while the iDX6011 Pro is powered by Intel Core Ultra 7 255H. Both support up to 64GB LPDDR5/x and dual 10GbE for fast transfer speeds.
The Pro adds an OcuLink port for external GPU or storage expansion, targeting studios and AI workflows that require additional compute.
Prices are lower than some competitors during the pre-order period, starting at $999 for the iDX6011 with 32GB RAM, but these discounts are limited to the early launch phase.
| Features | iDX6011 | iDX6011 pro |
|---|---|---|
| processor | Intel Core Ultra 5 125H | Intel Core Ultra 7 255H |
| memory | 32GB / 64GB LPDDR5/x | 64GB LPDDR5/x |
| maximum storage | 196TB (6 SATA + 2 NVMe) | 196TB (6 SATA + 2 NVMe) |
| networking | Dual 10GbE | Dual 10GbE |
| expansion | standard | OCuLink for GPU, storage |
| ideal usage | Creators, families, prosumers | Studio, production, and AI workflows |
UGREEN’s iDX6011 series represents a transition to smarter, more private storage by moving AI processing from the cloud to your local device. Although the hardware specifications are high, the success of these units depends on the long-term stability of the local AI software and the efficiency of its thermal design.
For users looking to migrate away from cloud-based services, these NAS models may offer a high-capacity, offline alternative for data management and processing.
