ZNAS
AI NAS

ZNAS

RK3588 + 3× iCore-1828 (60 TOPS) local AI NAS for 27B LLMs and 6-bay RAID

Key Features

Why ZNAS?

Specifications

Detailed Specifications

SoCRockchip RK3588 (4× Cortex-A76 @2.4 GHz + 4× Cortex-A55 @1.8 GHz, 6 TOPS NPU)
AI ComputeRK3588 + 3× iCore-1828 M.2 cards = 60 TOPS, supports 27B FP16 / 70B INT4 LLMs
Memory16 GB / 32 GB / 64 GB LPDDR5 (up to 32 GB onboard + 32 GB SO-DIMM)
Storage Bays6× 3.5" SATA HDD hot-swap, RAID 0/1/5/6/10/JBOD, up to 132 TB
M.2 Slots2× M.2 NVMe 2280 (system + cache), 3× M.2 Key-M for iCore-1828 cards
Network2× 2.5 GbE + 1× 10 GbE SFP+ optional + Wi-Fi 6 + BT 5.2
USB/Display2× USB 3.2 Gen 2 (10 Gbps) + 2× USB 2.0 + HDMI 2.1 (8K) + USB-C DP Alt + 3.5 mm audio
LLM RuntimePre-installed Ollama + Open WebUI + RKLLM, supports Qwen2.5-32B / Llama 3.1 / DeepSeek-V2 / Mistral
AI Speed27B Q4 model: 30+ t/s token throughput (multi-card combined)
CoolingDual turbo fans + magnetic dust filter + smart temperature curve, < 28 dB at idle
OSOpenCloudOS 8 + Docker + K3s + Cockpit web admin; supports Ubuntu 22.04 / Debian 12
PowerBuilt-in 250 W 80+ Gold ATX PSU, 100-240 V AC wide input
ComplianceCCC + 3C + CE / FCC / RoHS, surge 2 kV, ESD 8 kV contact
Use CasesHome: local ChatGPT replacement + private doc RAG + auto-transcoding. SMB: replace cloud LLM API + NAS, 12-month TCO payback. Retail: POS backup + edge CV analytics.
Applications

Scenarios

Home — Personal AI assistant + private knowledge base + family photo backup. One device replaces ChatGPT Plus + iCloud + NAS.SMB — Edge AI inference box + on-prem file server. Save $50-200/month cloud LLM API fees, typical 12-month ROI.Retail — POS local backup + edge CV people counting + customer behaviour analytics, no cloud dependency.Education — On-prem LLM for K12 labs (GDPR-friendly), teacher Q&A, document Q&A over school libraries.Healthcare — Clinical note drafting + patient education + medical literature RAG, all on-device (HIPAA-compatible).Developer — Self-hosted LLM API + Docker dev environment + Git LFS storage, zero per-token billing.
Gallery

Product Gallery

ZNAS - image 1ZNAS - image 2
FAQ

Frequently asked questions

What is the ZNAS used for?

Home — Personal AI assistant + private knowledge base + family photo backup. One device replaces ChatGPT Plus + iCloud + NAS.; SMB — Edge AI inference box + on-prem file server. Save $50-200/month cloud LLM API fees, typical 12-month ROI.; Retail — POS local backup + edge CV people counting + customer behaviour analytics, no cloud dependency.; Education — On-prem LLM for K12 labs (GDPR-friendly), teacher Q&A, document Q&A over school libraries.; Healthcare — Clinical note drafting + patient education + medical literature RAG, all on-device (HIPAA-compatible).; Developer — Self-hosted LLM API + Docker dev environment + Git LFS storage, zero per-token billing.

What processor does the ZNAS use?

Rockchip RK3588 (4× Cortex-A76 @2.4 GHz + 4× Cortex-A55 @1.8 GHz, 6 TOPS NPU)

How much AI compute does the ZNAS provide?

RK3588 + 3× iCore-1828 M.2 cards = 60 TOPS, supports 27B FP16 / 70B INT4 LLMs

How much memory does the ZNAS have?

16 GB / 32 GB / 64 GB LPDDR5 (up to 32 GB onboard + 32 GB SO-DIMM)

What operating system does the ZNAS run?

OpenCloudOS 8 + Docker + K3s + Cockpit web admin; supports Ubuntu 22.04 / Debian 12

What networking does the ZNAS support?

2× 2.5 GbE + 1× 10 GbE SFP+ optional + Wi-Fi 6 + BT 5.2

What certifications does the ZNAS hold?

CCC + 3C + CE / FCC / RoHS, surge 2 kV, ESD 8 kV contact

How much does the ZNAS cost?

Pricing is quoted per configuration and volume — there is no single list price. Send us the target quantity, configuration and destination and we will come back with a firm quote and lead time.

Can the ZNAS be customized or branded?

Yes. METO provides ODM and OEM customization on its platforms, including hardware configuration, enclosure, branding and packaging. See the ODM/OEM page for scope, or send us your requirements.

What is the minimum order quantity for the ZNAS?

MOQ depends on whether you need a standard configuration or a customized build. It is confirmed together with the quotation — tell us your target volume and we will state the MOQ for that configuration.

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