3D Cube Compute Architecture for High Availability
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Large compute and storage systems face inefficiencies in space usage, data transfer latency, network performance, cooling, reliability, and maintenance due to their modular design, leading to suboptimal performance, high energy consumption, and low availability.
Innovation Solution
A three-dimensional rectangular 'Cube' architecture comprising 'Bricks' that perform compute, storage, and interface functions, utilizing conduction liquid cooling and a direct, multi-path, multi-dimensional mesh network, eliminating the need for physical repair through distributed, dynamically adaptive routing and fault-tolerant protocols.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of repair
If modular servers are deployed in racks with aisles for maintenance access, then ease of repair is improved, but area consumed increases significantly
Solution Approach 1:
The patent transitions from two-dimensional rack deployment to three-dimensional cube stacking, eliminating horizontal aisles by utilizing vertical space. Multiple cubes are stacked vertically with service aisles positioned at the sides rather than requiring large horizontal clearance zones, thereby dramatically reducing floor space consumption while maintaining maintenance accessibility.
Solution Approach 2:
The system is divided into modular cube units that can be independently serviced. Each cube contains standardized components that can be accessed and replaced without affecting other cubes, enabling maintenance operations within the compact stacked configuration.
2Ease of manufacture
If servers are placed tens to hundreds of feet apart in racks, then ease of manufacture and deployment is improved, but data transfer latency increases
Solution Approach 1:
By stacking cubes vertically in a compact arrangement, the patent reduces the horizontal distance between compute nodes from tens to hundreds of feet to merely a few feet. This three-dimensional configuration maintains modular deployability while dramatically缩短ing data transfer paths and reducing latency.
Solution Approach 2:
Multiple compute cubes are merged into a tightly integrated stack where nodes are in close physical proximity, enabling fast data transfers through short interconnect paths while preserving the modular architecture for easy deployment.
3Reliability
If optical cabling is used for network interconnections over long distances, then signal integrity is maintained, but network interconnection cost increases
Solution Approach 1:
The patent eliminates long horizontal cable runs by stacking cubes vertically, reducing interconnection distances to minimal levels. This allows the use of inexpensive copper interconnects instead of costly optical cabling while maintaining signal integrity through the shortened paths.
Solution Approach 2:
The patent employs cost-effective copper interconnects instead of expensive optical cabling, justified by the dramatically reduced transmission distances enabled by the cube stacking architecture.
4Temperature
If fan cooled systems are used, then cooling effectiveness is achieved, but system reliability decreases due to fan failures and vibrations
Solution Approach 1:
The patent replaces mechanical fan-based cooling systems with liquid cooling technology. This substitution eliminates fan failures and vibrations while maintaining effective cooling of electronic components through liquid heat transfer.
Solution Approach 2:
The patent employs liquid cooling systems that use fluid dynamics to transfer heat from electronic components, replacing the pneumatic fan-based cooling mechanism with a more reliable hydraulic/liquid cooling approach.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This architecture achieves high performance, reliability, and availability by reducing interconnect distances, enabling low-cost, high-bandwidth networking, and automatic fault recovery, resulting in a 99% uptime system with significantly reduced energy consumption and maintenance needs.
Implementation Method 1
conduction liquid cooling
Data Source
AI summary
A new physical computer architecture that combines elements in a virtuous cycle to eliminate performance killing inefficiencies in compute systems and need never be physically repaired during its lifetime is described. The system comprises a three dimensional rectangular cube structure with integrated liquid cooling and a multi-dimensional direct network laced through it. The network comprises a distributed, dynamically adaptive, multiply-fault-tolerant routing protocol that can logically replace failed components.