What S-Quantum 1.1 Does
Not a GPU replacement. Not a traditional accelerator. A cognitive control layer for sustained AI workloads.
Orchestration
Cognitive System Control for Existing Computers
- • Coordinates CPU, GPU, and memory under sustained cognitive loads.
- • Prevents resource contention, thrashing, and progressive degradation.
Persistence
Maintains State and Context
- • Maintains state and context across extended sessions.
- • Eliminates The Dory Effect™—your system remembers.
Stability
Predictable Behavior Under Prolonged Use
- • Reduces micro-freezes, latency spikes, and thermal stress.
- • Maintains predictable performance during extended sessions.
Industrial-Grade Components for Long-Term Reliability
Form Factor & Connectivity
- • Format: PCIe Add-in Card
- • Interface: PCIe Gen3 x4
- • Compatibility: Standard PCIe slots in PCs and workstations
Processing
- • SoC: Rockchip RK3588
- • Architecture: Heterogeneous ARM, latest generation
- • Cognitive Engine: Dedicated use for control, coordination, and cognitive logic
Memory & Storage
- • On-board Memory: 2 GB LPDDR4
- • Persistent Storage: 64 GB eMMC
- • Boot & Identity Anchoring: SPI-NOR Flash, Dedicated EEPROM
Thermal Management & Power
- • Cooling: Active (aluminum heatsink + PWM fan)
- • Power: From PCIe slot
- • Thermal Management: Predictive, not reactive (TAITO/TAPIM)
S-Quantum 1.1 uses available, industrial-grade components with stable supply chains. Its innovation is architectural, not exotic.
Proprietary Technologies
Protected by Multiple Patent Families
CYSAR™
Cognitive Systemic Augmentation and Regulation
S-Quantum™ Architecture
Framework for systemic cognitive control
ZLTA™
Zero Latency Transfer Architecture
TAITO / TAPIM
Thermal-Aware Intelligent Task Orchestration
Cognitive Memory Affinity
Dynamic resource allocation based on cognitive task requirements
Who Benefits from S-Quantum 1.1
Developers
Build persistent local agents, stateful pipelines, and cognitive systems without cloud dependency. Access: Driver, daemon, local API, full SDK.
Technical Teams
Run sustained AI workloads on existing hardware without system degradation or excessive cloud costs.
Creators
Operate complex AI-assisted workflows locally with stable context and continuous operation.
Researchers
Experiment with cognitive architectures on accessible hardware with full control and transparency.
Complete System, Not Just Hardware
Everything you need to implement cognitive computing on your existing machine.
NYMPH™ S-Quantum 1.1 PCIe Card
Pre-installed firmware and cognitive runtime
Host driver for Windows and Linux
Persistent daemon (always-on service)
Local API (IPC / HTTP)
SDK and developer tools
Technical documentation
Diagnostic and control utilities
Industrial Production, Not Prototype
Partners
Manufacturing: MOKO Technologies
Certification & Validation: Zhuomao Technologies
Architecture & Development: Punky Tiger Labs Inc. (Delaware, USA)
Design Priorities
- • Component availability
- • Supply stability
- • Conservative thermal design
- • Long lifecycle support
Durability
- • Hardware lifespan: 7-8 years
- • Host functional life extension: 5-8 years
Ready to Join the Cognitive Era?
The Cognitive Era Begins in Q2 2026