Tiiny
💳PAIDCoding
Tiiny.ai is a compact, pocket-sized AI hardware device called the Tiiny AI Pocket Lab, designed for local (offline) AI processing. It enables users to download and run large language models (up to 120B parameters) with high performance, emphasizing privacy, no subscriptions, and portability for AI experimentation, development, and agent usage.
✨Key Features
- ▸Hardware Specs: Features an Arm v9.2 CPU + NPU (30 INT8 TOPS), dNPU (160 INT8 TOPS for total ~190 TOPS), 80GB LPDDR5X RAM at 6400MT/s, 1TB PCIe 4.0 SSD, built-in mic/speaker, BT 5.3, Wi-Fi 6 (up to 2.4Gbps), and 3x USB-C ports; weighs 300g with dimensions 142x80x22mm and 30W TDP (requires 65W+ adapter).
- ▸Local AI Focus: Runs LLMs offline for privacy and independence from cloud services; average output speed of 18-40 tokens/s; supports model downloads and agent workflows without token or usage fees.
- ▸One-Time Purchase: No subscriptions or recurring costs for core AI features post-purchase; pre-order via refundable $9.90 deposit to lock in super early-bird price of $1,299 ($100 off $1,399 MSRP), guaranteed lowest lifetime price.
- ▸Pre-Order & Shipping: Deposit secures spot for Kickstarter campaign; same email required for pledge; prioritized shipping to US, Germany, UK, France, Italy, Spain, Netherlands, Singapore (additional fees for others); estimated delivery August 2026, subject to change.
- ▸Refund Policy: Deposits refundable anytime via email to support@tiiny.ai (processed in 7 working days, user covers transaction fees); one deposit per unit.
- ▸Developer-Friendly: Supports building custom local AI apps with model/compute management, workflow agents API, MCP tools, and mic/speaker APIs; compatible with macOS/Windows via optimized Tiiny OS; scalable for clustering.
- ▸Unique Aspects: Portable "pocket lab" for developers/researchers/creators needing offline AI (e.g., text gen, image creation); no cloud dependency for enhanced privacy; Kickstarter-backed with early-bird incentives.
- ▸Limitations: Not yet shipping (pre-order phase); shipping restrictions; high upfront cost; focused on AI tasks, not a general-purpose mini PC.
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