integrate your cloud with OUR generative ai, predictive ai, computer vision, machine learning, computing and blockchain applications running in-house at the edge on our low energy, ultra low energy and quantum-integrated workstations
Low Energy, Ultra Low Energy and Quantum-integrated
Data-augmented Edge AI Workstations
zherOai X360r
zherOai X360t
zherOai X240t
O.S. HybridQ
O.S. HybridQ
O.S. HybridQ
A.I.P. cropp X1000
A.I.P. cropp X1000
A.I.P. cropp X100
Quantum ready
Quantum ready
Quantum ready
Max 1000 simultaneous models*
Max 1000 simultaneous models*
Max 100 simultaneous models*
zherOai M180t
zherOai M120t
zherOai M100e/t H-fanless or Tower
O.S. HybridQ
O.S. HybridQ
O.S. HybridQ
A.I.P. cropp X50
A.I.P. cropp X25
A.I.P. cropp X10
Max 50 simultaneous models*
Max 25 simultaneous models*
Max 10 simultaneous models*
zherOai A90x
zherOai A90g
Touch Monitor
O.S. HybridQ
O.S. HybridQ
from 15.6 to 60 inch
A.I.P. cropp X10
A.I.P. cropp X5
-
Max 10 simultaneous models*
Max 5 simultaneous models*
-
For more information about our products and our technologies
Contact UsULTRA LOW ENERGY HARDWARE
Zero Emission Ultra Low Energy Edge AI Workstation
using renewable energy sources
ULE zherOai Z100x
Ultra Low Energy fanless system
Use zherOai hardware for artificial intelligence processes with zero energy impact
O.S. HybridQ ULE
A.I.P. cropp xULE
Available in 2025
Power yourself with more
than 50,000 LLMs GGUF on ULE zherOai Z100x
than 50,000 LLMs GGUF on ULE zherOai Z100x
For more information about our products and our technologies
Contact UsHuman-in-the-loop (HITL)
Ultra light LOW ENERGY AI running on DRONEs
Ultra Light Low Energy AI Workstation
for natural interface control and monitoring
zherOai Avionic D100x
Watch, Understand, Decide, Act
zherOai hardware, operating system and software
O.S. HybridQ Drone & Robots
A.I.P. croppX
Available in 2025
Human-in-the-loop (HITL) advanced aerial systems
For more information about our products and our technologies
Contact Useuropeanquantum
Contact Us
Reservation form
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*the maximum number of simultaneous models in production depends on the size of the dataset used for training and the number of predictions per second
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