Intelligent World 2030

Computing 2030

In the near future, the data we produce annually will soon be calculated in yottabytes. As this happens, our processing power will also become more energy efficient. We will transcend our human limitations, and uncover the secrets of all the cosmos, from the tiniest quarks, to the largest nebulas. We will use our newfound digital power to achieve carbon neutrality, and turn the digital age, into the intelligent age.

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Predictions

Pervasive diversified computing

Total general computing power will see a tenfold increase and reach 3.3 ZFLOPS

AI computing power will increase by a factor of 500, to more than 100 ZFLOPS

Global data will be growing by 500-fold to reach one yottabyte every year

Cloud services as 87% of total enterprise application expenditure

Key Features

Computing will become both more open and more secure. Every person and every organization will be given equal opportunity to build a more innovative computing industry and share in its value

Cognitive Intelligence

From Weak AI to Strong AI: Human-like Cognition

All-scenario, multi-modal, and multi-task models for general intelligence
Autonomous AI without human intervention
Brain-like intelligence based on digital neurons and neuro dynamics
Creative generative AI
Cross-discipline knowledge computing

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Intrinsic Security

From Add-on Security to Intrinsic Security: Self-adaptive Throughout the Process

Security is built into chips, firmware, hardware, and software
Security must be ensured throughout the entire data processing lifecycle
Open-source security services built into application architecture

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Green, Integrated Computing

Chip-level, DC-level, and Cross-region Computing: Low-carbon Computing

2.5D/3D chip packaging, co-packaged optics, and higher chip performance with minimal power consumption
Integrated DCs: PUE approaching or even less than 1
Computing networks that adapt to different latency and cost requirements, with globally optimal energy efficiency

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Diversified Computing

From Computing-centric to Data-centric: 10x Efficiency

Peer-to-peer interconnection, near-data computing, computing using memory
From board-level to DC-level memory-semantic buses
HPC, AI, and big data increasingly converged

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Multi-dimensional Collaboration

Cubic Computing & Integration of Reality and Virtuality: On-demand Distribution

Vertical collaboration between cloud, edge, and devices
Horizontal collaboration between storage, computing, and network devices
Collaboration between the physical and digital worlds

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Physical Layer Breakthroughs

New Materials, New Media, and New Computing: Exponential Growth in Density

Analog computing: Quantum computing & optical computing
Non-silicon-based computing: 2D materials & carbon transistors
Ferroelectrics and phase change materials commercially used; new media like optical storage and DNA storage to be explored

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