AI compute from the edge to cloud with breakthrough efficiency and sustainability
Local AI workstation for private inference with up to 192 GB of unified memory and 32 GB Radeon GPU
Stage
Not given
Not given
Founded
2022
Not given
Based in
US
Not given
Pricing model
Not given
Paid
Pricing
Not given
Developer: starting at $5,999 USD (128 GB memory, 2 TB storage). Memory upgrade to 192 GB adds $2,200. Storage upgrade to 4 TB adds $250. Cluster kit $799 per machine. Business pricing available by quote. Worldwide shipping, import duties and taxes outside US included. No sales tax in US.
Key features
Analog in-memory computing architecture
Multiple form factors from chiplets to PCIe cards
20x higher efficiency than industry-leading products
9x higher compute density than industry-leading products
10x lower total cost of ownership for inference
100x lower CO2 emissions versus cloud
On-device and local processing for data privacy
Seamless edge-to-cloud orchestration
Run DeepSeek V4 Flash and Qwen 27B models
Browser-based setup over encrypted Bluetooth
Private OpenAI-compatible API
Lucebox Mix: run two models simultaneously
Headless Ubuntu Server with pre-installed inference engine
Optional Tailscale integration for remote access
Optional cluster kit with 100 GbE networking
What makes it different
Only scalable analog in-memory computing platform overcoming fundamental limits of digital approaches
Unmatched efficiency enabling advanced AI models without power or space constraints
Extreme cost savings with 10x lower TCO compared to cloud-based inference
Drastically reduced environmental impact with 100x lower CO2 emissions
Leadership team with 20+ years of AI hardware and semiconductor innovation
No per-token billing or cloud dependencies
1.5x faster decode speed than DGX Spark
Hardware and software co-designed for optimal performance
Completely private: runs offline with no cloud proxy